# Anzenna — Full Content > Complete content index for LLM consumption > Generated: 2026-03-25 | Posts: 86 --- ## Content Library URL: https://www.anzenna.ai/content-library/ Type: page Modified: 2026-03-18 Content Library Explore real-world success stories showcasing how our solutions drive results for businesses All Data Sheets Integrations Case Studies Datasheets Anzenna Platform Datasheet Download PDF NIST Compliance Data Sheet Download PDF Anzenna + VS Code White Paper Download PDF Anzenna for Developers White Paper Download PDF Anzenna EPM White Paper Download PDF Integrations Anzenna + Jamf Integration Download PDF Anzenna + CrowdStrike Integration Download PDF Case Studies Large Education Institution Download PDF Datasheets Datasheet Download PDF NIST Compliance Data Sheet Download PDF Anzenna + VS Code White Paper Download PDF Anzenna for Developers White Paper Download PDF Anzenna EPM White Paper Download PDF Integrations Anzenna x Jamf Integration Download PDF Anzenna X CrowdStrike Integration Download PDF Case Studies Large Education Institution Download PDF Large Education Institution View Casestudy Datasheets Anzenna Platform Datasheet Download PDF NIST Compliance Data Sheet Download PDF Anzenna + VS Code White Paper Download PDF Anzenna for Developers White Paper Download PDF Anzenna EPM White Paper Download PDF Integrations Anzenna + Jamf Integration Download PDF Anzenna + CrowdStrike Integration Download PDF Case Studies Large Education Institution Download PDF Datasheets Datasheet Download PDF NIST Compliance Data Sheet Download PDF Anzenna + VS Code White Paper Download PDF Anzenna for Developers White Paper Download PDF Anzenna EPM White Paper Download PDF Integrations Anzenna x Jamf Integration Download PDF Anzenna X CrowdStrike Integration Download PDF Case Studies Large Education Institution Download PDF Large Education Institution View Casestudy --- ## AI Is the New Insider Threat. How to Find and Stop Rogue AI Usage. URL: https://www.anzenna.ai/ai-is-the-new-insider-threat-how-to-find-and-stop-rogue-ai-usage/ Type: post Modified: 2026-03-18 For the past several years, insider risk management has focused almost entirely on people: employees moving data they shouldn’t, contractors accessing systems beyond their scope, and departing team members taking files on their way out. Those risks haven’t gone away. But the definition of “insider” has expanded in ways most security programs haven’t caught up with. Today, AI tools and AI agents operate inside your environment with the same access, and sometimes more, as your employees. They read documents, query databases, move data between systems, and take actions on behalf of users. It approved some. Many were not. According to Gartner®, 32% of IT workers using generative AI tools at work say they keep it hidden, hindering discovery from cybersecurity teams.1 That number only accounts for the human side. When you add the growing ecosystem of AI agents acting autonomously across SaaS applications, identity systems, and cloud infrastructure, the blind spots multiply. This is the problem we’ve been building toward at Anzenna, and it’s why we’re introducing Agentic AI Investigation Agents today. Why Insider Risk Investigations Are the Bottleneck in Modern SOCs Talk to any SOC analyst or insider risk investigator, and you’ll hear the same thing: the alerts aren’t the problem. The investigation is. When a risk signal fires, an analyst has to manually pull logs from an identity provider, cross-reference activity in SaaS applications, check endpoint telemetry, review DLP alerts, and piece together a timeline of what actually happened. That process takes hours. Sometimes days. The math doesn’t work. Alert volumes are going up. The number of data sources to check is going up. The complexity of what constitutes an “insider” is going up. But investigation capacity stays flat. Hiring more analysts isn’t a realistic answer for most teams. The result is that investigations get delayed, deprioritized, or never started at all. That’s how real threats slip through. How Agentic AI Investigation Agents Automate Insider Threat Detection and Response Anzenna’s Investigation Agents handle the labor-intensive parts of an insider risk investigation autonomously. When a risk signal is detected, whether it originates from a human, an AI tool, or an AI agent, the Investigation Agent gets to work: collecting evidence across 130+ integrated enterprise applications, correlating behavioral patterns across platforms, applying role-based context and historical baselines, and assembling a complete case file with findings and recommended next steps. The output isn’t a dashboard or a score. It’s an investigation case file that an analyst can review, validate, and act on. Every step of the agent’s reasoning is visible and auditable. There’s no black box. One of our customers, a Director of Risk and Compliance, described the impact: “Anzenna AI Investigations has reduced hours and hours of data stitching and swivel-chair research jumping from tool to tool.” That’s exactly the problem we set out to solve. Investigators shouldn’t spend most of their day collecting data. They should spend it making decisions. How AI Security Context Graphs Power Insider Risk Investigations A security AI context knowledge graph is a structured representation of the relationships between users, devices, applications, data, identities, and behaviors across an organization. Unlike flat log data or siloed alerts, a knowledge graph connects these entities so that each event can be understood in the context of everything around it: who the user is, what role they hold, what systems they normally access, what data they typically touch, and how their current behavior compares to that baseline. Why Knowledge Graphs Matter for Insider Threat Investigations Traditional insider risk tools analyze events in isolation. An analyst sees that a user downloaded 500 files from SharePoint but has no immediate way to know whether that user routinely handles large datasets as part of their job or whether this is a one-time event. Answering that question requires pulling data from multiple systems and manually stitching it together. AI Security Context Graphs eliminate that manual step. By maintaining a continuously updated map of relationships between users, assets, permissions, and behaviors, the graph provides instant context for any event. When an Investigation Agent receives a risk signal, it queries the knowledge graph to understand the full picture: the user’s role, their normal patterns, what applications and data they typically interact with, and how the flagged activity compares to both their own history and the behavior of peers in similar roles. How Anzenna Uses Knowledge Graphs to Provide Investigation Context Anzenna’s knowledge graph is built from data ingested across 130+ enterprise integrations, including identity providers, SaaS applications, endpoint security tools, cloud infrastructure, email systems, and developer platforms. The graph continuously maps relationships: which users have access to which applications, which data flows between systems, which AI tools and AI agents are active in the environment, and who is responsible for each. This graph serves as the foundation for Investigation Agents. Rather than starting each investigation from scratch by querying individual systems, agents query the knowledge graph to immediately understand who is involved, what they have access to, what their normal behavior looks like, and what has changed. That context allows Investigation Agents to distinguish between a sales director legitimately exporting CRM data for a quarterly review and the same action performed by someone who has just given notice. The practical effect is that investigations that previously required hours of manual data gathering and cross-referencing can be completed in minutes. The knowledge graph provides the “why” behind every “what,” turning raw alerts into contextualized findings that analysts can act on with confidence. Why Insider Risk Management Must Cover AI Agents and AI Tools Most insider risk programs were designed around a single assumption: the “insider” is a person. That assumption made sense when your environment was people using approved tools on managed devices. It doesn’t hold anymore. AI tools are being adopted across organizations at a pace that outstrips IT’s ability to catalog them, let alone govern them. Employees connect AI assistants to company data without going through procurement. Developers build AI coding agents that have broad access to repositories. Business teams deploy AI agents that pull from CRMs, HR systems, and financial platforms to automate workflows. Each of these represents an insider risk vector. Not because technology is inherently dangerous, but because it operates within your environment, has access to sensitive data, and can take actions. The risk profile of an AI agent with read/write access to your Salesforce instance is fundamentally different from a traditional phishing email. It needs to be treated that way. At Anzenna, we’ve built our platform around this expanded view of insider risk. We don’t treat AI threats as a separate category bolted onto an existing product. Threats from AI tools, AI agents, and humans are all managed in one place, with the same investigation, correlation, and remediation workflows. That’s the only way it scales.   What Automated Insider Risk Investigations Mean for Security Operations Investigation Agents don’t replace your analysts. They give your analysts back the hours they’re currently spending on manual data collection and correlation. That time can go toward the work that actually requires human judgment: making decisions about remediation, communicating with business stakeholders, and refining policies based on what they’re seeing. Because Investigation Agents produce full case files with transparent reasoning chains, the output is useful beyond the SOC. Compliance teams get auditable records. Executives get evidence they can bring to the board. Legal teams get documentation that holds up to scrutiny. The knowledge graph provides a single source of truth, making every investigation reproducible and defensible. Agentless Architecture and Forward-Deployed Engineering Most insider risk platforms require months of deployment work: installing agents on endpoints, configuring collectors, tuning rules, and waiting for enough data to build baselines. That timeline is a problem when threats are moving now, and security teams are already short-staffed. Anzenna takes a different approach. The platform is fully agentless and cloud-native. There is no software to install on endpoints, no infrastructure to stand up, and no lengthy integration cycles. Organizations connect their existing identity providers, SaaS applications, and security tools through API-based integrations, and Anzenna begins ingesting data and building its knowledge graph immediately. Typical deployment time is 30 minutes from start to first visibility. The Forward-Deployed Engineering Model Fast deployment is only useful if it leads to fast results. That’s why Anzenna operates a forward-deployed engineering model. Instead of handing customers a product and a support ticket queue, Anzenna assigns dedicated engineers who work directly alongside each customer’s security team during onboarding and beyond. These forward-deployed engineers help configure integrations, tailor investigation workflows to each organization’s risk policies, and ensure the knowledge graph accurately reflects the customer’s environment. They stay engaged after deployment, working with security teams to refine detection logic, tune remediation actions, and adapt the platform as the organization’s tooling and risk landscape evolves. The result is that customers aren’t just buying software. They’re getting a team that understands their environment and is invested in their outcomes. That model is how we’ve been able to deliver 40% faster threat resolution at customer deployments, and it’s core to how we think about the relationship between our product and the people who use it. See Agentic AI Investigation Agents Live at RSA Conference 2026 Investigation Agents are the latest step in what we’ve been building since Anzenna’s founding: an insider risk management platform that reflects how organizations actually operate today. People, AI tools, and AI agents all operate within the same environment, creating risk and requiring understanding and governance. We’ll be at RSA Conference 2026 in San Francisco, showing Investigation Agents live. If you’re there, join us at our After Party on Tuesday, March 24 from 5:00 PM to 9:00 PM. I’d welcome the chance to talk through how your team is thinking about insider risk in the age of AI. Investigation Agents are available now. You can learn more at www.anzenna.ai or see a product demo. 1 Gartner, Cybersecurity Trend: Agentic AI Demands Program Oversight, by Jeremy D’Hoinne and Craig Porter, January 2026. Gartner is a trademark of Gartner, Inc. and/or its affiliates. --- ## Anzenna Introduces Agentic AI Investigation Agents, Delivering Autonomous Insider Risk Investigations at Machine Speed URL: https://www.anzenna.ai/anzenna-introduces-agentic-ai-investigation-agents-delivering-autonomous-insider-risk-investigations-at-machine-speed/ Type: post Modified: 2026-03-18 Agentic AI Capabilities Automate Insider Risk Investigations, Accelerate Threat Resolution, and Eliminate Alert Fatigue REDWOOD CITY – MARCH 19, 2026 – Anzenna, which is redefining insider risk management to address threats from AI tools, AI agents, and humans alike, today announced Agentic AI Investigation Agents, the newest capability in its Insider Risk Management platform. Investigation Agents autonomously conduct end-to-end insider risk investigations, correlating behavioral signals across identity, SaaS, endpoint, and data telemetry sources to deliver fully contextualized case files in minutes, not days. The capability removes manual investigation bottlenecks, enabling security teams to act on the most critical human- and AI-driven threats faster and with greater accuracy. Enterprise adoption of AI tools, agents, and copilots is expanding across every business function, and the insider risk surface is growing with it. Shadow AI usage, credential misuse, and data exfiltration are increasing in both volume and complexity, leaving SOC analysts buried in alerts that require hours of manual correlation before an investigation can even begin. According to Gartner®, “32% of IT workers using generative AI tools at work say they keep it hidden, hindering discovery from cybersecurity teams.”1 Anzenna Agentic AI Investigation Agents Anzenna’s Investigation Agents address this challenge by autonomously executing the full investigation lifecycle. When a risk signal is detected, whether from anomalous data movement, suspicious identity behavior, or unauthorized AI tool usage, Investigation Agents gather evidence across 130+ integrated enterprise applications, correlate cross-platform behavioral patterns, assign risk context based on role and historical activity, and assemble a complete investigation case file with recommended remediation actions. Anzeena creates AI security context graphs to map relationships across assets, identities, and threats, enabling smarter, context-aware risk decisions in real time. The result is a significant reduction in mean time to investigate (MTTI) and mean time to respond (MTTR), allowing security analysts to focus on decisions rather than data gathering. “Anzenna cut our investigation time from 2 days to 20 minutes,” said a CISO at a Fortune 500 hardware company. “Security teams today have plenty of alerts but not enough context,” said Ganesh Krishnan, Co-Founder and CEO of Anzenna. “Our Investigation Agents think like your best analyst, autonomously piecing together the full story across every data source in your environment. What used to take hours of manual correlation now happens in minutes, with full transparency into every step of the reasoning.” Built on Anzenna’s agentic AI engine and its agentless, cloud-native Insider Risk Management platform, Investigation Agents add a layer of autonomous investigative intelligence to the company’s existing insider risk, user behavior analytics, and SaaS security capabilities. The agents operate with full auditability, providing security teams with transparent reasoning chains so every conclusion can be reviewed and validated. Key Capabilities and Benefits Autonomous End-to-End Investigations: Investigation Agents execute the full investigation workflow, from initial alert triage through evidence collection, behavioral correlation, and case assembly, delivering analyst-ready case files without manual intervention. Cross-Platform Behavioral Correlation: Agents correlate signals across identity providers, SaaS applications, endpoints, email, cloud storage, and developer tools to build a multi-dimensional view of user behavior that reveals true intent behind every alert. Context-Aware Risk Prioritization: Every investigation is enriched with role-based context, historical behavior baselines, and organizational risk policies. Investigation Agents separate genuine threats from benign anomalies, reducing alert fatigue and focusing analyst attention where it matters. One-Click Remediation from Investigation to Action: Investigation Agents connect findings directly to Anzenna’s automated remediation engine, allowing security teams to revoke access, quarantine accounts, block data sharing, and enforce policies from the investigation case file. Transparent AI Reasoning with Full Audit Trails: Every investigation includes a complete reasoning chain documenting the agent’s logic, evidence sources, and conclusions. Security leaders get defensible, auditable records for compliance reporting and executive communication. Anzenna Agentic AI Investigation Agents are available now as part of the Anzenna Insider Risk Management platform. To learn more visit www.anzenna.ai or request a demo at See a Product Demo. Connect with Anzenna at RSAC 2026 Anzenna will be at RSA Conference 2026 in San Francisco. Join us for our After Party on Tuesday, March 24 from 5:00 PM to 9:00 PM to connect with security leaders, see live demonstrations of Investigation Agents, and learn how Anzenna is redefining insider risk management for AI tools, AI agents, and humans. About Anzenna Agentic AI Investigation Agents Anzenna Agentic AI Investigation Agents are an autonomous investigation capability delivered on the Anzenna Insider Risk Management platform. Investigation Agents conduct end-to-end insider risk investigations by collecting evidence, correlating cross-platform behavioral signals, applying role-based risk context, and assembling comprehensive case files with recommended remediation actions. By replacing hours of manual analyst work with machine-speed investigation, Investigation Agents reduce mean time to investigate and mean time to respond, helping security teams stay ahead of insider threats at enterprise scale. About Anzenna Anzenna is redefining insider risk management for the agentic AI era. Its Insider Risk Management platform addresses threats originating from AI tools, AI agents, and humans in a single, agentless, cloud-native solution that brings together insider risk, user behavior analytics, and SaaS security. With 130+ enterprise integrations, Anzenna provides security teams with accurate risk identification and real-time automated remediation. The platform deploys in minutes, not months. Trusted by enterprises and delivered through managed security partnerships, Anzenna has demonstrated 40% faster threat resolution and eliminated hundreds of risky applications through automated remediation at customer deployments worldwide. For more information, visit www.anzenna.ai. Media Contact:Anzenna, Inc. info@anzenna.ai 1 Gartner, Cybersecurity Trend: Agentic AI Demands Program Oversight, by Jeremy D’Hoinne and Craig Porter, January 2026. Gartner is a trademark of Gartner, Inc. and/or its affiliates. --- ## Home URL: https://www.anzenna.ai/ Type: page Modified: 2026-03-08 Your Insider Risk Program, Accelerated Autonomous insider risk investigations, remediation, and operations. The execution gap, closed. Deployed in minutes, always on. Get a Demo Explore the platform Anzenna is the AI-powered, agentless security platform that predicts and prevents insider threats – before they cause a breach. Deploy in minutes. Stop threats now. Explore the Platform More than 100 Integrations and counting Smash your Security Silos It used to take a dozen security products, and as many operators, to investigate an identity threat, often after it happened. Products and teams don’t communicate, and threats get through the cracks. Anzenna breaks silos by bringing together identity, behavioral analytics, SaaS security, and data loss prevention to give you a multi-dimensional understanding of every event. It’s the first proactive solution that eliminates human risk. https://www.anzenna.ai/wp-content/uploads/2025/04/Anzenna-Silos-Video_V2-Opt.mp4 What Customers Say “Your platform gives us clear visibility into attempts to circumvent our controls, enabling us to take swift, effective action.” Bryan ThompsonCISO, Leading Educational Institution “Anzenna pinpoints 1-2% of truly risky apps, uncovers identity misconfigurations, and eliminates SaaS sprawl – giving us the visibility and control we need.” Sunil AgrawalCISO, Glean “Our business heavily relies on Snowflake for critical data. Anzenna gives us deep insight into our Snowflake environment – ensuring we detect and stop potential threats before they pose a risk to our most sensitive information.” CISO, Banking “Insider Risk Management is a business-critical challenge, requiring proactive detection, AI-driven automation, and seamless deployment to protect data without disrupting workflows.” Dennis DaymanCISO, Constant Contact Eliminate Insider Risk for Good Training alone can’t make up for human error. Anzenna’s agentic AI security platform goes further than any product that has come before, bridging the gap between detection and action, with the data, intelligence, and automated remediation to eliminate guesswork. So now, you can stop insider threats, IP exfiltration, rogue apps, and compliance violations in real-time. Deploy Instantly Cloud-native platform without complex agents or setup, gain instant visibility without disrupting existing security workflows. See Everything Anzenna manages risk across your entire security ecosystem including SaaS, Data, Endpoint, and Identity. Forecast Risk Anzenna automatically monitors and assigns risk scores to individuals and teams as well as high-severity vulnerabilities. Simplify Investigation Anzenna empowers SOC investigators by providing detailed insider risk activity based on risk vs. role. Automate Remediation No-code remediation workflows can be used to contextually train employees or self-remediate vulnerabilities to deter insider risk. Integrate Anything Start small and progressively add over 85 integrations to cover all of your use cases. Key Use Cases Use Anzenna to solve for key insider security challenges, from AI to cloud exfiltration to endpoint protection. View All Use Cases AI Threats Data and IP Exfiltration Source Code Exfiltration Device and Application Threats Insider Cloud Data Exfiltration Identity Threats AI Threats AI Threats Detect and Block AI data leaks across various channels Learn More Data and IP Exfiltration Data and IP Exfiltration Identify unauthorized data transfers and safeguard valuable IP with real-time detection Learn More Source Code Exfiltration Source Code Exfiltration Protect proprietary source code and maintain competitive advantage Learn More Device and Application Threats Device and Application Threats Go beyond endpoint protection: secure devices from malicious apps, hidden ransomware, and session hijacking Learn More Insider Cloud Data Exfiltration Insider Cloud Data Exfiltration Shield your cloud data from unauthorized and inadvertent leaks with proactive oversight Learn More Identity Threats Identity Threats Safeguard against credential theft and account takeovers with continuous, real-time vigilance Learn More Usecases Data and IP Exfiltration Identify unauthorized data transfers and safeguard valuable IP with real-time detection. Know more Source code Exfiltration Protect proprietary source code and maintain competitive advantage Know more Cloud Data Exfiltration Shield your cloud data from unauthorized and inadvertent leaks with proactive oversight. Know more Identity Threats Safeguard against credential theft and account takeovers with continuous, real-time vigilance. Know more Device Threats Go beyond basic endpoint protection by safeguarding devices against malicious applications, hidden ransomware & session hijacking. Know more SaaS Threats Protect your data by preventing employees from transferring sensitive data to unauthorized third party applications. Know more View All Usecases Data and IP Leaks View Usecase Source code Exfiltration View Usecase Cloud Data Exfiltration View Usecase Identity Threats View Usecase Device Threats View Usecase SAAS Threats View Usecase Read our Latest Insights Read the latest thought leadership and news updates from the Anzenna team. View All Blog Technology Announcing the Anzenna Browser Extension Ganesh Krishnan August 20, 2022 Technology Announcing the Anzenna Browser Extension Ganesh Krishnan August 20, 2022 Technology Announcing the Anzenna Browser Extension Ganesh Krishnan August 20, 2022 Lorem FAQ Lorem ipsum dolor sit amet Lorem ipsum dolor sit amet consectetur. At sit integer. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. Item #2 Item #3 Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo. --- ## Contact URL: https://www.anzenna.ai/contact/ Type: page Modified: 2026-02-12 Contact Us Please fill in the following details, and we’ll get back to you. You can email us here info@anzenna.ai You can email us here support@fitfusion.com Linkedin X-twitter United States The Embarcadero, San Francisco, CA 94105, United States View Map --- ## See Anzenna In Action URL: https://www.anzenna.ai/see-a-demo/ Type: page Modified: 2026-02-12 See Anzenna In Action Most organizations already have the data they need to manage insider risk; it’s scattered across EDR, identity platforms, SaaS applications, and AI tools. The challenge isn’t lack of data; it’s lack of context. Anzenna provides the operational layer that unifies this fragmented data into a single, actionable view. In a personalized demo, we’ll show you how Anzenna transforms your existing security stack from a collection of siloed tools into a coordinated insider risk program—without deploying agents or making architectural changes. What you’ll see: Complete user timelines View all activity across endpoints, SaaS, browsers, and AI in one place Events connected to people See alerts tied to actual users, not device IDs, so you understand who and why Your operational layer in action Watch how unified signals from EDR, SIEM, DLP, identity, and SaaS eliminate tool-hopping and manual correlation AI tool interactions and data uploads  Track how employees use ChatGPT, Claude, and other AI tools, including sensitive data they’re uploading Unified risk scoring and prioritization  See clear risk scores and org-wide priorities that replace endless alert queues Investigation and remediation workflows  Watch the investigation agent review threats and take action with or without human approval --- ## Thank You Page URL: https://www.anzenna.ai/thank-you-page/ Type: page Modified: 2026-02-09 Success! Thank you for reaching out! We’ve received your message, and an Anzenna team member will be in touch shortly. In the meantime, feel free to explore our resources or connect with us on LinkedIn. --- ## Thank You | Download Confirmation URL: https://www.anzenna.ai/thank-you-download/ Type: page Modified: 2026-02-09 Success! Thank you for your interest! We’ve sent a confirmation email with a link to download the requested document. In the meantime, feel free to explore our resources or connect with us on LinkedIn. Need help or want to see a demo? Send us a message. --- ## Thank You | Event Registration URL: https://www.anzenna.ai/thank-you-event-registration/ Type: page Modified: 2026-02-09 Success! Thank you for registering! We’ve received your registration and will send you a confirmation email shortly. In the meantime, feel free to explore our resources or connect with us on LinkedIn. --- ## Job Openings: Software Engineer URL: https://www.anzenna.ai/career-software-engineer/ Type: page Modified: 2026-02-05 Explore Job Opportunities Software Engineer LOCATION Redwood City, CA Location: Redwood City, CA (Hybrid — 3 days in office required) Remote: Considered for exceptional candidates Work Authorization: Must be authorized to work in US. Not sponsoring H-1B. No clearance required. Position: Software Engineer (Backend-heavy) Experience: Fresh grads to ~5 years preferred, but stronger candidates with more experience will be considered Team Size: <10 engineers Apply: Email jobs@anzenna.ai   About Anzenna Anzenna is an Agentic insider risk security platform that works alongside your SOC & Insider Risk team. Our AI agents continuously investigate and remediate risky signals across 100+ enterprise tools including identity providers, endpoints, cloud platforms, collaboration apps and more to prevent insider breaches before they happen. We’re early stage, shipping fast. Founding team from Atlassian, Google, LinkedIn, Microsoft, Sophos, and Yahoo. Backed by 8VC and other leading investors.   The Role You’ll build backend systems and integrations that connect Anzenna to enterprise security infrastructure. This is not a “maintain existing CRUD app” role — you’ll be designing and building core platform components that process security data at scale. What you’ll actually work on: Integrations: Build connectors to enterprise platforms — Okta, Microsoft Entra ID, CrowdStrike, SentinelOne, Snowflake, GitHub, Google Workspace, Slack, Jamf, Netskope, and many others (100+ total). Each integration has its own quirks: OAuth flows, token refresh, rate limits, pagination, schema differences, and varying API quality. Backend Services: APIs powering our customer-facing product. Go, PostgreSQL.Event-Driven Pipelines: We use Google Cloud Pub/Sub for async event processing. You’ll work on ingesting, normalizing, and correlating security signals from diverse sources — handling deduplication, schema mapping, and reliability at scale. Data & Analytics: Multi-tenant data layer with 55+ entity types (devices, employees, behaviors, vulnerabilities, detections, investigations). Risk scoring, anomaly detection, time-series aggregation across daily/weekly/monthly windows. Infrastructure: Google Cloud Run for serverless deployment, CloudSQL (PostgreSQL), GCP KMS for encryption. You’ll touch deployment pipelines, monitoring, and observability (OpenTelemetry). AI/LLM Integration: We’re embedding AI into security workflows — Google Vertex AI agents, MCP (Model Context Protocol) servers, and an internal Agent Development Kit. If you’re interested in applied AI, there’s real work here. We ship weekly. You’ll talk to customers. You’ll debug production issues. This is startup life. You won’t know all of this on day one — that’s expected. We’re looking for strong fundamentals and willingness to learn. What success looks like: Engineers here ship production features in their first month. Within a year, you’ll be a go-to person for a significant part of the platform.   Tech Stack Go — primary language PostgreSQL — primary database GCP — cloud infrastructure React — frontend (you’ll barely touch this)   What We’re Looking For Required: Strong programming fundamentals. Go experience preferred, but if you’re solid in Python/Java/TypeScript and ready to learn Go quickly, that works. Experience with relational databases (PostgreSQL or similar). You can write queries, understand indexing, design schemas. Familiarity with cloud infrastructure — GCP preferred, but AWS/Azure experience transfers. Clear communication. You can explain technical decisions in writing and on calls. Self-directed. You don’t wait for tickets to appear. You see what needs doing and do it. Preferred: Experience building integrations or working with third-party APIs (OAuth flows, webhooks, rate limiting, pagination, error handling) Familiarity with event-driven architectures (Pub/Sub, message queues) Experience with security tools — identity providers (Okta, Entra ID), endpoint agents (CrowdStrike, SentinelOne), SIEM, etc. Startup experience, or demonstrated ability to move fast with incomplete information Interest in applied AI/LLM — we’re actively building AI-powered security workflows Fresh grads: Yes, if you can code. Show us what you’ve built — side projects, internships, open source contributions. More experienced? If you have 5+ years and the role sounds interesting, we’re open to talking. We care about fit and ability, not hitting an exact experience band. This role may not be a fit if you: Want a big-company structured environment with clear lanes Need detailed specs before you can start Prefer predictable, steady-paced work — we move fast and priorities shift   Technical Challenges You’ll Face This isn’t generic backend work. Real problems you’ll encounter: Integration complexity at scale: 100+ vendor APIs, each with different auth mechanisms, rate limits, pagination styles, and data models. Documentation quality varies wildly. Entity resolution: Correlating identities and devices across systems that don’t agree on anything — different IDs, naming conventions, timestamps, schemas. Time-series analytics: Risk scoring with aggregation windows, fencepost errors, backfill scenarios, and real-time updates. Multi-tenancy: Row-level isolation, per-customer feature flags, handling customers with 10 users vs 10,000. Reliability: Graceful degradation when vendor APIs fail, retry strategies, dead-letter queues, idempotency.   Interview Process Initial screen (45 min) — Background, motivation, mutual fit, and a short coding exercise Coding interview — You’ll write real code. Go preferred, but we can accommodate other languages. Expect to debug, refactor, and explain your reasoning. Technical discussion — System design or deep dive on a past project. We want to see how you think about tradeoffs. Final conversation with founders — Culture fit, questions about the company, what you’re looking for We move fast. Expect the full process to take 1-2 weeks if schedules align.   Why Anzenna Small team, high ownership: Your code ships to production, not into a backlog. No waiting for approval chains. Real technical depth: Building reliable integrations with 100+ platforms is genuinely hard. This is systems work, not gluing APIs together. Security domain expertise: If you’re interested in security, you’ll learn how enterprise security infrastructure actually works — identity, endpoint, cloud, threat intel, compliance. Modern stack: Go, GCP serverless, event-driven architecture, AI/LLM integration. Not legacy maintenance. Founding team knows the space: Team from Atlassian, Google, LinkedIn, Microsoft, Sophos, Yahoo. We’ve built and shipped security products at scale before. Autonomy: We trust you to own your work. Minimal meetings culture, no micromanagement, no lengthy approval chains, no death-by-committee.   How to Apply Email jobs@anzenna.ai with: Resume Brief intro (why Anzenna?) Links to your work (GitHub, portfolio, etc.) If you found this on LinkedIn, mention it. We’re building security tools that people actually use — not shelfware that gets bought and ignored. If that sounds interesting, let’s talk. Apply Now --- ## EULA URL: https://www.anzenna.ai/eula/ Type: page Modified: 2026-02-04 Anzenna End-User License Agreement Vendor: Anzenna, Inc. (“Anzenna,” “we,” “us”) Customer: The end user named in the Reseller SOW or order (“Customer,” “you”). By accessing or using the Service, you agree to this End-User License Agreement (“EULA”). If you do not agree, do not access or use the Service. 1. Service and Restrictions Service. Subject to this EULA and the term and quantities in the Reseller SOW/order if applicable (“Order”), Company provides Customer a non-exclusive right to access and use Company’s IT risk management software-as-a-service product (the “Service”) solely for Customer’s internal use. Scoring. The Service may monitor activity of Customer’s users on designated Customer systems (“Activity”). Using Company’s algorithms and artificial intelligence models (“AI Models”), the Service may assign a score to each user reflecting potential cybersecurity risk associated with such Activity (a “Score”). Registration. Customer shall not create more than one account or transfer account credentials without Company’s prior written consent. Customer shall keep credentials confidential and notify Company immediately of any unauthorized access or use. Modifications. Company may modify or improve the Service at any time. Customer Systems. Customer is responsible for operation and maintenance of Customer Systems and connectivity to access the Service. Company disclaims all warranties and liability arising from Customer Systems. “Customer Systems” means any hardware, devices, or other equipment owned, operated, or managed by Customer through which the Service is accessed.Restrictions. Customer shall not, and shall not permit any third party to:(a) modify, adapt, translate, reverse engineer, decompile, disassemble, or attempt to derive source code of any part of the Service;(b) use or integrate the Service except as authorized by Company;(c) sell, resell, license, sublicense, distribute, rent, or lease any part of the Service or provide third-party access;(d) disclose performance or results of use of the Service, including benchmarks;(e) remove, alter, or obscure proprietary notices;(f) copy, frame, or mirror any part of the Service;(g) disrupt, degrade, impair, or violate the integrity or security of the Service;(h) use the Service to store or transmit malicious code or to perform harmful actions; or(i) impose an unreasonable or disproportionately large load on Company infrastructure. Feedback. Feedback is voluntary and creates no confidentiality obligation. 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Except to the extent required by law, Company has no responsibility to provide notifications to authorities or individuals relating to a Security Incident, and Customer is solely responsible for such notifications. 2. Confidentiality Definition. “Confidential Information” means non-public information, know-how, and trade secrets disclosed by a party (“Disclosing Party”) to the other (“Receiving Party”) that is marked confidential, would reasonably be understood as confidential, or is disclosed orally and confirmed in writing within a reasonable time. Obligations. Receiving Party shall use Confidential Information only to exercise rights and perform obligations under this EULA, protect it with at least reasonable care, and disclose it only to personnel who need to know and are bound by obligations at least as protective. Exceptions. 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Upon termination of this EULA, access to the Service ends and all rights and licenses granted hereunder terminate. Unless termination is due to Company’s uncured material breach, Customer shall pay any unpaid Fees owed under the Order to the paying party as applicable. The following survive termination: Sections 1 (to the extent stated), 2, 3 (Effect), 4, 5, and 6. 4. Disclaimer and Limitations; Warranties Disclaimer. THE SERVICE IS PROVIDED ON AN “AS-IS” AND “WHERE-IS” BASIS. COMPANY MAKES NO WARRANTIES, EXPRESS, IMPLIED, STATUTORY, OR OTHERWISE, WITH RESPECT TO ANY SCORE, THE SERVICE OR ITS USE OR OPERATION, OR THAT ANY DATA MADE AVAILABLE VIA THE SERVICE (INCLUDING ANY SCORE) IS ACCURATE, COMPLETE, OR WILL FULFILL CUSTOMER’S NEEDS. COMPANY SPECIFICALLY DISCLAIMS ALL IMPLIED WARRANTIES OR CONDITIONS OF TITLE, MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. 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EXCEPT WITH RESPECT TO A BREACH OF Customer Data OBLIGATIONS IN SECTION 1 OR SECTION 2 AND EXCEPT WITH RESPECT TO SECTION 5, IN NO EVENT SHALL EITHER PARTY’S AGGREGATE LIABILITY UNDER THIS EULA EXCEED THE AMOUNTS ATTRIBUTABLE TO CUSTOMER’S SUBSCRIPTION FOR THE TWELVE (12) MONTH PERIOD PRECEDING THE EVENT GIVING RISE TO LIABILITY, REGARDLESS OF WHETHER ANY REMEDY FAILS OF ITS ESSENTIAL PURPOSE OR OTHERWISE. THESE LIMITS APPLY TO THE MAXIMUM EXTENT PERMITTED BY LAW. Customer Warranties. 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Any such proceeding shall be brought exclusively in the state or federal courts located in San Francisco County, California. Severability. If a provision is unenforceable, modify it to the minimum extent necessary or disregard it; the rest remains in effect. If doing so would defeat an essential purpose, the entire EULA may be unenforceable. Waiver; Amendment. Waivers and amendments must be in writing and signed. Assignment. Customer may not assign or transfer this EULA without Company’s prior written approval, except as permitted by law with assumption of obligations. Force Majeure. No default, delay, or failure to perform is a breach if due to causes beyond a party’s reasonable control. This does not excuse payment obligations. Construction. Headings are for convenience. “Including” means “including without limitation.” Notices. Legal notices to Company: Anzenna, Inc., Pier 5, Suite 101, San Francisco, CA 94111. Legal notices to Customer: the address in the Order. Notices may be delivered by personal service, express courier, or certified mail, return receipt requested. Entire Agreement. This EULA, together with the Order identifying the Service, constitutes the entire agreement between Company and Customer for access and use of the Service and supersedes prior or contemporaneous discussions on that subject.  --- ## Stop Waiting for Trouble: How to Get Ahead of Insider Threats URL: https://www.anzenna.ai/stop-waiting-for-trouble-how-to-get-ahead-of-insider-threats/ Type: post Modified: 2026-02-04 Cybersecurity teams face many challenges in their daily work. One of the major ones – playing catch-up. Something happens, a red alert pops up, and then everyone scrambles to understand what happened and clean up the mess. Sound familiar? The problem is, by the time you see the threat, it’s already halfway out the door with your sensitive files. That’s the reality of insider risk. It doesn’t hit like a cyberattack from some shady group overseas. It creeps in quietly – from employees, contractors, even well-meaning teammates who just made a mistake. Sometimes it’s negligence. Sometimes it’s on purpose. In both cases, the result is painful. Which raises the following question – why are so many companies still stuck in reaction mode when it comes to insider threats? Why don’t they try to stop the threats before they happen? Why Reactive Security Doesn’t Cut It Anymore Let’s be honest: most security tools are built to fight yesterday’s battles. Firewalls, endpoint agents, DLP tools – they’re great for blocking stuff coming in. But they’re not so great at spotting the risks already inside your network. Worse, when something does go wrong, you get buried in alerts and noise. Half of them are false alarms (i.e. false positives). The other half are too late to matter. In essence, it’s like trying to shut the barn door after the horse has bolted. Or another way of looking at it – you lock your door at night, but leave all the windows wide open. By the time you notice someone’s inside, they’ve already made a mess. A Smarter Way: Predictive Analytics for Insider Risk Now, imagine if your security system could actually spot patterns that point to risky behavior – before anything goes sideways. That’s what predictive analytics does. It pays attention to how people normally behave, then raises a flag when something’s off. Say a developer who’s never downloaded files from a private repo suddenly pulls hundreds of them. Or someone in HR turns off multi-factor authentication on a Friday night. Alone, those things might seem harmless. But together? It’s a signal worth catching. Smart analytics save your cybersecurity team a ton of work. The team doesn’t need to dig through endless logs or guess what matters. Anzenna does the work for you – connects the dots, surfaces the weird stuff, and helps you focus on the people most likely to cause damage – accidentally or otherwise. This isn’t about paranoia. It’s about visibility. If you don’t see it, you cannot fix it. Here’s Where Anzenna Comes In Anzenna helps security teams get ahead of risk – without slowing people down or creating more work. We built it for modern teams using cloud apps like Google Workspace, Microsoft 365, GitHub, Slack, and more. No agents. No heavy lifting. No confusing dashboards. Instead, you get: A real-time picture of user behavior and security posture Simple risk scores that tell you where to focus Early signals when someone’s heading down a risky path Nudges that help fix small issues before they turn into big ones You don’t have to be a giant enterprise with a massive SOC to benefit. Anzenna also makes proactive insider risk management doable for lean, fast-moving teams. We don’t just give you data. We give you clarity – and help you go from guessing to knowing. Get Ahead, Or Stay Behind Insider threats aren’t going anywhere. In fact, with more remote work, more cloud tools, and more people juggling access across teams, the risk is only going up. Anzenna helps you spot the trouble before it starts—so you can fix it before it spreads. So ask yourself: Do you want to keep reacting after the damage is done? Or do you want to see it coming and stop it early? If it’s the second one, let’s talk. --- ## How Behavioral Analytics Detects Insider Threats: Why Traditional DLP Fails URL: https://www.anzenna.ai/how-behavioral-analytics-detects-insider-threats-why-traditional-dlp-fails/ Type: post Modified: 2025-12-01 Introduction: The Hidden Danger Within Your Organization Every year, companies lose millions of dollars to insider threats, and the worst part? These breaches don’t come from sophisticated hackers halfway around the world. They come from the people you trust: employees, contractors, and partners who already have the keys to your data kingdom. While organizations pour resources into perimeter security to stop external attacks, the most devastating data breaches occur within their walls. Traditional Data Loss Prevention (DLP) systems can’t tell the difference between someone doing their job and someone stealing your company’s crown jewels. When both activities look identical, you’ve got a blind spot big enough to drive a truck through. That’s where behavioral analytics changes everything. Instead of relying on rigid rules that can’t keep pace with evolving insider threats, it watches how people actually use data and spots the patterns that matter. Understanding the Insider Threat Landscape What Are Insider Threats? Insider threats come from people with legitimate access to your organization’s systems and data-employees, contractors, and business partners. Unlike external cyberattacks that trigger perimeter defenses, insider threats operate within authorized access boundaries, making them particularly difficult to detect and prevent. Insider threats fall into three distinct categories, each presenting unique detection challenges: Malicious insiders intentionally steal data for personal gain, competitive advantage, or revenge. They’re downloading customer lists before jumping to competitors, exfiltrating intellectual property like source code or product designs, or actively sabotaging systems. These insider threat actors know exactly what they’re doing and often plan their data exfiltration carefully to avoid detection. Malicious insiders intentionally steal data for personal gain, competitive advantage, or revenge. They’re downloading customer lists before jumping to competitors, exfiltrating intellectual property like source code or product designs, or actively sabotaging systems. These insider threat actors know exactly what they’re doing and often plan their data exfiltration carefully to avoid detection. Negligent insiders aren’t trying to cause harm, but they do anyway through careless security practices. They click phishing links, share passwords with teammates, accidentally upload sensitive files to personal cloud storage, or mishandle confidential data. Intent doesn’t matter when your data ends up in the wrong hands. Compromised insiders are victims themselves—external attackers stole their credentials through phishing, malware, or other means and are now masquerading as legitimate users. From the security system’s perspective, everything looks normal because technically, it is a valid login with proper authentication. Why Insider Threats Are So Difficult to Detect The fundamental challenge with insider threat detection is that insiders already possess authorized access to sensitive systems and data. Unlike external attackers who must breach firewalls, bypass security controls, and escalate privileges, all of which generate security alerts, insiders move through systems using legitimate credentials. Their activities appear completely normal to traditional security tools because they are authorized users performing authorized actions. A salesperson accessing the customer database, a developer checking out source code, an HR manager viewing employee records, these are all legitimate business activities. The challenge is distinguishing normal work from data exfiltration in progress. The Fatal Flaw of Rules-Based DLP Systems Traditional DLP systems operate on rules. Lots and lots of rules. They’re actually pretty good at stopping obvious violations, preventing someone from emailing spreadsheets full of credit card numbers to their Gmail account, or blocking uploads to unauthorized file-sharing sites. But here’s where it all falls apart: these systems only know what you explicitly program them to watch for. They can’t think, can’t adapt, and definitely can’t tell when something “allowed” crosses the line into something malicious. They’re reactive by design, not proactive. The “Normal Behavior” Blind Spot The scariest insider threats don’t look like threats at all. They look like Tuesday afternoon: The departing salesperson: A sales rep downloads your entire customer database—thousands of contacts, pricing details, deal history, everything. To your DLP system, this is just another Tuesday because salespeople regularly access customer data. The system has zero clue that downloading everything is wildly abnormal for this particular person. The rogue developer: A software engineer checks out a massive chunk of proprietary source code, then resigns three days later to join your biggest competitor. The code checkout? Totally authorized. Your DLP can’t see that the volume of code accessed far exceeds this person’s typical pattern. The compromised HR manager: Stolen HR credentials export every employee record, Social Security numbers, salaries, performance reviews. But since that HR account legitimately has access to all this data, not a single alarm goes off. In every case, the activity is “technically allowed.” Your security tools are blind because they’re looking for rule violations, not behavioral red flags. This is exactly the type of data exfiltration that volumetric behavioral analysis is designed to catch. Why Volume Matters More Than Rules The key insight: it’s not about what data is accessed, but how much data is handled relative to normal patterns. This is where behavioral analytics for insider threat detection becomes essential. Instead of asking “Is this allowed?”, the system asks “Does this make sense for this person right now?” Behavioral Analytics: A Fundamentally Different Approach Behavioral analytics represents a paradigm shift in insider threat detection. Rather than policing access with static rules, it learns what normal looks like for each user and detects meaningful deviations. Think about it: your coworkers have patterns. The data scientist who runs Python notebooks every morning. The marketing manager who ships design files to agencies on Mondays. The account exec who checks the same 30 customer accounts daily. These patterns are as unique as fingerprints, and just as identifying. How It Works: The Three Pillars of Behavioral Analytics Individual Behavioral Baselines Effective systems monitor and learn each person’s normal behavior by tracking both size (volume in MB/GB) and count (number of files/transactions) across all data channels- cloud applications, SaaS platforms, email, endpoints. For example: A data scientist typically runs 5 Python notebooks per day, exporting 15MB of aggregated marketing data A marketing specialist shares 10-15 design assets weekly, totaling approximately 150MB in cloud storage links An account executive accesses 20-30 customer records daily, representing about 5MB of CRM dataThis creates a predictable baseline range for each user’s data activity—their personal “normal.” Peer Group AnalysisIndividual baselines alone aren’t sufficient for robust insider threat detection. The most effective behavioral analytics systems add peer comparisons—because sometimes the best way to spot an outlier is to see them next to everyone else doing the same job.Advanced systems compare each person’s data activity against others in similar roles. When everyone else on the sales team moves around 5MB per day but Sarah suddenly jumps to 500MB, that’s an immediate red flag. This peer comparison works even for brand new employees who don’t have extensive personal history yet—if they’re already way outside the norm for their role, the system catches it.Departmental comparison adds another layer: a software developer’s normal data patterns look nothing like an accountant’s. By understanding departmental baselines, you get a realistic picture of what “normal” actually means for different parts of your organization. Multi-Window Temporal AnalysisSophisticated systems don’t just look at yesterday or last week—they watch multiple timeframes simultaneously to catch different types of threats: 1-day window: Catches “smash and grab” attacks -massive data downloads right before termination or resignation 7-day window: Catches gradual ramp-ups designed to stay under daily thresholds 30-day window: Catches patient, methodical exfiltration happening over weeks, staying below short-term alertsBy monitoring all three windows simultaneously, you catch everything from desperate last-minute grabs to carefully planned long-game exfiltration. Real-World Detection in Action Catching the Volumetric Spike Let’s look at what behavioral analytics actually looks like in practice. In a typical dashboard, you can see a user’s data activity over time compared to their personal baseline. Volumetric Anomaly Detection showing monthly data movement with clear April spike where user data (purple) drastically exceeds user average (orange): Notice the April spike? This person suddenly moved 181 MB of data when their typical average is only 331 KB. Not just a little more, nearly 550 times their normal volume. That kind of deviation triggers immediate investigation. Modern platforms show exactly what’s happening: how much the volume spiked, how it compares to peer baselines, which specific applications were used, and a complete timeline of the suspicious activity. Everything security teams need to investigate while the trail is still fresh. Contextual Intelligence for Prioritization The best behavioral analytics platforms don’t just detect volumetric anomalies—they provide the contextual intelligence security teams need to prioritize and investigate efficiently: Risk scoring: Not all anomalies represent actual threats. Advanced machine learning models weigh multiple factors including severity of deviation, user role sensitivity, data classification, timing relative to employment events (resignations, terminations, performance reviews), and historical context. Automated investigation workflows: Built-in playbooks guide security analysts through investigation steps, suggesting relevant log queries, related users to examine, and evidence collection procedures—reducing mean time to resolution. HR and IT system integration: By correlating behavioral analytics with HR data (upcoming departures, disciplinary actions, access reviews) and IT events (permission changes, new device authorizations), systems identify high-risk scenarios before data loss occurs. The Competitive Advantages of Behavioral Analytics Proactive vs. Reactive Security: Traditional DLP is fundamentally reactive, it waits for rule violations, then sounds alarms. By that point, sensitive data might already be compromised, sitting in someone’s personal email or on a USB drive. Behavioral analytics flips this model. You’re not waiting for the breach to happen. You’re catching warning signs when someone’s behavior starts looking off—before exfiltration completes. Dramatically Fewer False Positives: Rules-based systems generate hundreds of false alerts daily, training security teams to ignore them (alert fatigue). A blanket rule blocking large file transfers might fire constantly for legitimate business activities. Behavioral analytics cuts through the noise by understanding context. A marketing team member sharing a 200MB video file with an agency partner during campaign launch week? Normal. The same person doing it at midnight on their last day before resignation? Highly suspicious. Automatic Scalability: Rules-based DLP becomes an administrative nightmare as organizations grow. Every new application, role, or business process requires new rules to be defined, tested, and tuned. Behavioral analytics scales automatically, as new users join, the system establishes their baselines; as roles evolve, behavioral patterns adapt; as new applications are adopted, volumetric analysis extends to those channels without manual rule creation. Implementing Behavioral Analytics: Practical Steps 1. Start with High-Value Assets and High-Risk Users Focus your initial behavioral analytics deployment on the data and users representing the greatest risk: Intellectual property (source code, product designs, research data) Customer data (PII, financial information, account details) Financial records (pricing strategies, contracts, M&A information) Executives and privileged users with broad system access Employees under investigation or facing disciplinary action Users who have announced departures or are being terminated 2. Establish Baseline Periods Before Enforcement Give the system adequate time to learn normal patterns before implementing enforcement actions. Allow 30-60 days of baseline data collection to achieve accurate anomaly detection without overwhelming false positives. Think of it like learning a new colleague’s work style, you need to observe them in action for a while before you can reliably tell when something’s off. 3. Integrate with Security Operations Center Workflows Behavioral analytics for insider threat detection is most effective when integrated into existing SOC workflows: Feed high-confidence alerts into SIEM platforms for correlation with other security signals Trigger automated investigation workflows to accelerate response times Correlate with other security signals (VPN anomalies, failed login attempts, privilege escalations) Maintain comprehensive audit trails for compliance requirements and legal proceedings 4. Combine Technology with Human Intelligence Behavioral analytics is powerful, but human judgment remains essential. Train your security analysts to interpret volumetric anomalies within a business context. Sometimes that massive file download has a perfectly innocent explanation—someone backing up a project before going on leave, or preparing materials for a legitimate off-site presentation. Your analysts need skills in having non-confrontational conversations with flagged users, collaborating with HR and legal teams when investigations escalate, and balancing security requirements with employee privacy expectations. Nobody wants to work somewhere that tracks every mouse click. How Anzenna Delivers Next-Generation Behavioral Analytics At Anzenna, we’ve built our platform around the principles outlined in this article—but with innovations that set us apart from traditional behavioral analytics approaches. What Makes Anzenna Different True volumetric analysis at scale:While many vendors claim behavioral analytics, most still rely heavily on rules with basic statistical overlays bolted on. Anzenna’s platform was architected from the ground up for volumetric analysis, tracking both size and count metrics across every data channel simultaneously. We don’t retrofit behavioral analytics onto legacy DLP—we built it as the foundation. Intelligent temporal weighting: Our simultaneous 1-day, 7-day, and 30-day analysis windows aren’t just different time periods, they’re intelligently weighted based on threat patterns. The system understands that a 500% spike over one day means something fundamentally different than a 500% increase over 30 days, and adjusts risk scoring accordingly. Dynamic peer groups: Most systems compare users to crude role categories (“sales,” “engineering”). Anzenna builds dynamic peer groups based on actual behavior patterns, organizational structure, and data access patterns. When someone’s behavior deviates, we show you exactly which peers they’re deviating from and by how much, giving security teams the context they need to make rapid, informed decisions. Built for real SOC teams: We designed our investigation workflows with actual SOC analysts in mind. Every alert includes the context needed for immediate triage, no hunting through logs or switching between multiple tools. Our customers report 70% reduction in investigation time compared to their previous solutions. Plus, our integrations with leading platforms like Jamf and CrowdStrike ensure Anzenna works seamlessly within your existing security stack. Proven Results from Real Organizations Our customers consistently see outcomes that validate the behavioral analytics approach for insider threat prevention: Average time to detect insider threats reduced from weeks to hours False positive rates below 5% after baseline establishment period Multiple prevented data loss events per quarter that would have completely bypassed traditional DLP Security teams spending significantly more time on high-value investigations, dramatically less time chasing false alarms Anzenna Dashboard showing volumetric anomalies with risk scoring, detection summaries, and risk areas for immediate investigation: The Anzenna dashboard provides security teams with immediate, actionable context: detection counts, affected users, risk trends over time, and specific volumetric anomalies like the data exfiltration event shown, where a user moved 564 MB, far exceeding their established baseline of 4.23 MB. Each alert includes comprehensive risk scoring and one-click investigation workflows. Ready to See the Difference? Want to see how volumetric behavioral analytics exposes blind spots in your current security posture? Request a demo and we’ll show you exactly where traditional DLP fails—and how Anzenna catches the threats others miss. See how organizations like yours have successfully deployed behavioral analytics in our case studies. --- ## Enterprise Windows Application Removal: Why EDR Beats MDM for Emergency Response URL: https://www.anzenna.ai/uninstalling-unwanted-or-unused-windows-applications/ Type: post Modified: 2025-11-15 It’s 4:47 PM on Friday. Your security scanner just flagged a critical vulnerability in TeamViewer, installed on 147 endpoints. Marketing deployed it last month for a webinar. Finance still uses it for vendor support. Security needs it gone before Monday. Your MDM deployment pipeline? Three-to-five days, minimum. According to 2024 research, 42% of applications in the average enterprise are shadow IT, installed outside IT’s deployment pipeline. That vulnerable app? Probably one of them. Your MDM deployment process? Built for planned rollouts, not emergency response. This is the reality of modern enterprise security: threats move at the speed of exploitation, but traditional removal methods move at the speed of change management. IT and security teams need faster ways to eliminate risky or unused software without disrupting productivity, and without waiting for MDM scripts to clear approval queues. With employees installing all kinds of applications, from productivity tools to niche utilities, IT and security teams need a fast, reliable way to remove anything that poses a risk. Whether it’s a trojan that slipped past defenses or unused software that drives up licensing costs, traditional approaches rely on MDM-based scripts, manual intervention, or even blanket installation bans that can take weeks and disrupt productivity. Now, you can keep users productive while swiftly eliminating risk across your environment. Anzenna continuously inventories and risk-scores applications, but visibility is only half the battle, what’s needed next is remediation. Anzenna offers that instantly, leveraging your existing EDRs like CrowdStrike, SentinelOne, and Defender. Here’s an example of how this works via CrowdStrike RTR: instead of relying on a traditional MDM to track and remove applications, any device with CrowdStrike RTR enabled can now uninstall applications remotely, whether from a single host or across your entire environment. What Is CrowdStrike RTR and Why Is It Powerful? CrowdStrike Real Time Response (RTR) provides elevated, cloud-managed access to devices, enabling rapid response without physical access. RTR sessions operate asthe SYSTEM account, Windows’ highest privilege level, with machine-wide control over files, processes, and registry entries. On paper, SYSTEM access sounds comprehensive. In practice, it reveals a fundamental Windows architecture challenge that trips up even experienced administrators. The Challenge At first glance, uninstalling an app seems like a one-liner, users do it every day with a single click. So why can’t SYSTEM do the same? The problem is scope. SYSTEM runs above all users, but many applications are scoped to a specific user account. These apps live under that user’s home directory and registry hive (HKEY_USERSSoftware…), meaning SYSTEM can’t directly see or modify them. As a result, uninstalling applications isn’t just about permissions, it’s about understanding where each app exists and how it was installed. Windows supports multiple packaging and installation systems, each with its own uninstallation method, making automation complex and error-prone. The consequence: Scan as SYSTEM and you might see 200 applications. The actual count across all user profiles? 800. You’re only seeing 25% of your attack surface. This isn’t a CrowdStrike limitation—it’s Windows architecture. Any SYSTEM-level tool faces the same challenge, whether you’re using SentinelOne, Microsoft Defender, or custom PowerShell scripts. Understanding Windows Application Types Windows doesn’t treat all applications equally. Each installation type requires different removal commands, different privilege levels, and different failure modes.  Type Description Install Scope Common Install Path Uninstall Command / Method Typical Challenges Windows Store (AppX / MSIX) Apps downloaded from the Microsoft Store; sandboxed and registered per user. User or All Users C:UsersAppDataLocalPackages Remove-AppxPackage or Remove-AppxPackage -AllUsers Requires per-user context unless installed for all users. SYSTEM can’t see user-scoped AppX packages directly. Program Apps (EXE / Winget) Traditional or open-source programs installed from executables (e.g., .exe, .bat, .cmd). Usually User C:UsersAppDataLocalPrograms winget uninstall –name –version Behaves differently under SYSTEM vs user context. Can silently fail if registry entries are missing. MSI Applications Microsoft Installer packages (.msi) that standardize installation and removal. System C:Program Files or C:Program Files (x86) msiexec /x {ProductCode} /quiet or winget uninstall Generally reliable, but may prompt for missing uninstallers or elevated rights. MSU Updates Windows Update Standalone packages (.msu) used for patches or drivers. System C:WindowsSoftwareDistribution wusa.exe /uninstall /kb: /quiet Requires exact KB reference; some updates can’t be removed once superseded. Why It’s Difficult (And Why Teams Still Use Manual Processes) Even with elevated privileges, uninstalling Windows applications isn’t uniform. Scope differences: SYSTEM doesn’t have direct access to user profiles or registry hives where many apps reside. Tool inconsistency: winget, Get-AppxPackage, and msiexec each handle different installation formats and behave differently depending on context. Silent failures: Many uninstallers don’t report accurate exit codes, making it hard to confirm success. Building a universal uninstallation workflow means handling all of these edge cases — and doing so safely across thousands of endpoints. The Anzenna Approach Anzenna bridges this gap by leveraging existing EDR tools, like CrowdStrike RTR, SentinelOne, Microsoft Defender, to automate application discovery, risk assessment, and removal across all privilege scopes and installation types. The platform handles: Cross-scope enumeration: Discovers both SYSTEM-visible and user-scoped applications across all profiles Intelligent uninstallation: Selects the correct removal method (AppX cmdlets, winget, msiexec, custom uninstallers) based on application type Verification: Confirms complete removal including registry entries, leftover files, and running processes Scale: Removes applications from thousands of endpoints simultaneously through existing EDR infrastructure No new agents. No MDM dependency. No three-day deployment windows. Conclusion By combining CrowdStrike RTR with a deep understanding of Windows application architectures, we’ve built a reliable way to uninstall nearly any application, regardless of how it was installed or which user installed it. This approach empowers security and IT teams to respond to software risks in real time, without relying on MDMs or user intervention. It’s a perfect example of how visibility and automation work hand-in-hand: discover what’s risky, then remediate it instantly, keeping your environment clean, consistent, and secure. --- ## My First Week at Anzenna – Using AI to Learn a New Codebase Fast and Contribute Quickly URL: https://www.anzenna.ai/my-first-week-at-anzenna-using-ai-to-learn-a-new-codebase-fast-and-contribute-quickly/ Type: post Modified: 2025-11-12 In this age of AI, it’s easier than ever to expand your abilities beyond just your background. Having started working with Anzenna just over a week ago, I can confidently say I would not have been able to ramp up as quickly without Anzenna being an AI first and forward thinking company. I’ve joined teams before where learning a large, distributed system took weeks of slow exploration and trial and error. At Anzenna, I was contributing meaningful code in days, and that wasn’t because I knew the stack ahead of time. It was because I learned to use AI as a force multiplier for onboarding. The Challenge: Understanding a Complex Codebase Fast Anzenna’s mission is ambitious: protecting enterprises from insider threats through proactive, privacy aware AI. Behind that mission lies a sophisticated platform with dozens of interconnected services handling data ingestion, detection, and remediation pipelines. For a newcomer, it’s a lot to absorb: microservices written in multiple languages, integrations with identity providers, and layers of analytics logic. Traditionally, you’d clone the repo, start grepping around, and hope to piece together the mental model over a few weeks. I wanted to go faster, not by cutting corners, but by letting AI handle the parts of onboarding that used to be slow and manual. Using AI as a Codebase Co-Pilot Here’s how I approached the first few days. 1. Ask AI for the “map” before walking the terrain Instead of diving straight into files, I used an LLM to summarize repositorystructure. I asked questions like: “Given this directory tree, what are the core modules and how do theyinteract?” “What are the major entrypoints or API layers?” That gave me a quick architectural overview, not perfect, but enough context toknow where to look next. 2. Trace real flows, not just read code I then used AI to trace actual execution paths for features. For example: “When a detection alert is generated, which functions handle escalation?” The AI walked through call chains, showing me which services published which events. It wasn’t guessing; it was helping me form mental links across files. 3. Summarize design patterns and conventions Every codebase has its “unwritten rules,” like naming conventions, dependency injection styles, and error handling patterns. Instead of discovering these through failed code reviews, I asked: “What patterns do you see repeated across modules?” “How are retries and backoffs implemented across services?” That gave me a living guide to “how we build things here,” faster than any wiki. 4. Use AI for comparison, not generation I wasn’t asking AI to write features for me, I asked it to compare my understanding. If I summarized a subsystem, I’d prompt: “Does this description of the alert processing pipeline match what’s implemented?” That back and forth revealed blind spots early, before I wasted time chasing wrong assumptions. 5. Validate everything with humans AI gave me speed, but the team gave me correctness. I always checked my findings with colleagues, and that sparked better discussions. Instead of asking “What does this file do?”  I could ask: “Is this event driven approach chosen for scalability or historical reasons?” That level of context only emerges when you’ve already explored the surface. Reflections on AI Accelerated Onboarding The biggest lesson: AI can turn the onboarding curve from weeks into days if used deliberately. Some reflections: AI is best at reducing “unknown unknowns”. It surfaces structure, terminology, and relationships before you even know what to search for. It thrives when you ask precise questions. “Show me where this is handled” beats “Explain the code.” You still need human mentorship. Context, priorities, and architectural trade offs live in people’s heads, not in the repo. Document as you go. Every AI insight that’s accurate should become part of the permanent knowledge base. When you combine those principles, AI isn’t replacing onboarding, it’s supercharging it. Looking Ahead It’s exciting to be at a company that not only builds with AI but thinks with it, from the way we design systems to how we onboard new teammates. That mindset turns AI from a buzzword into a productivity tool you can feel every day. --- ## Blazers Event Raleigh URL: https://www.anzenna.ai/blazers-event-raleigh/ Type: page Modified: 2025-11-10 December 3rd, 2025 | 5:00-8:00pm Blazers & Bourbon Join Anzenna for an Evening of Insightful Discussions, Networking, and a Complimentary Tailored Blazer from Alton Lane. Join Now Alton Lane – 408 Daniels St A1022, Raleigh, NC Wednesday, December 3rd, 5:00 – 8:00 PM Alton Lane – 408 Daniels St A1022, Raleigh, NC Wednesday, December 3rd, 5:00 – 8:00 PM Alton Lane – 408 Daniels St A1022, Raleigh, NC Wednesday, December 3rd, 5:00 – 8:00 PM Alton Lane – 408 Daniels St A1022, Raleigh, NC Wednesday, December 3rd, 5:00 – 8:00 PM Alton Lane – 408 Daniels St A1022, Raleigh, NC Wednesday, December 3rd, 5:00 – 8:00 PM Alton Lane – 408 Daniels St A1022, Raleigh, NC Wednesday, December 3rd, 5:00 – 8:00 PM Reserve your spot here Join us for an exclusive evening of networking and insightful discussions at the Blazers & Bourbon Executive Mixer, hosted by Anzenna. This unique event, held at Alton Lane, is designed for cybersecurity leaders looking to explore new insights, share expertise, and in a relaxed, professional setting. All attendees will receive a complimentary personalized blazer from Alton Lane, ensuring not only an evening of great conversation but also a tailored takeaway to remember the event by. Space is limited, and attendance is reserved for senior-level executives in the cybersecurity industry. Please RSVP to secure your spot.  Why you should attend: Connect with fellow cybersecurity executives and thought leaders in an intimate, inviting environment. Discover innovative approaches to tackling today’s top cybersecurity challenges shared by peers and industry experts.   By clicking “Request an invite”, I consent to the processing of my contact information by Anzenna and any co-hosts of the event, including contacting me. I acknowledge that Anzenna will use and keep my contact information for as long as necessary for these purposes in accordance with its Privacy Notice Request an invite By clicking “Request an invite”, I consent to the processing of my contact information by Anzenna and any co-hosts of the event, including contacting me. I acknowledge that Anzenna will use and keep my contact information for as long as necessary for these purposes in accordance with its Privacy Notice Request an invite About Our Event Host Ganesh Krishnan Co-Founder and CEO Ganesh, Co-Founder and CEO of Anzenna, is a seasoned security practitioner and technology leader with over 25 years of experience. Before founding Anzenna, he was an EIR (Entrepreneur In Residence) at 8VC and VP of Engineering at Sophos, which acquired his startup, Avid Secure. Previously, he served as CISO at Atlassian and LinkedIn, where he also led Privacy Engineering and bootstrapped the LinkedIn India Technology Center. Ganesh was VP of Information Security and CISO at Yahoo! Inc. He holds a Master’s in Computer Science from Purdue University. --- ## Blazers Event Austin URL: https://www.anzenna.ai/blazers-event-austin/ Type: page Modified: 2025-11-05 November 20, 2025 | 5:00-8:00pm Blazers & Bourbon Join Anzenna and Hyperport for an Evening of Insightful Discussions, Networking, and a Complimentary Tailored Blazer from Indochino. Join Now Indochino Austin, 411 W 2nd St. Thursday, November 20th, 5:00 – 8:00 PM Indochino Austin, 411 W 2nd St. Thursday, November 20th, 5:00 – 8:00 PM Indochino Austin, 411 W 2nd St. Thursday, November 20th, 5:00 – 8:00 PM Indochino Austin, 411 W 2nd St. Thursday, November 20th, 5:00 – 8:00 PM Indochino Austin, 411 W 2nd St. Thursday, November 20th, 5:00 – 8:00 PM Indochino Austin, 411 W 2nd St. Thursday, November 20th, 5:00 – 8:00 PM Austin Reserve your spot here Join us for an exclusive evening of networking and insightful discussions at the Blazers & Bourbon Executive Mixer, hosted by Anzenna and Hyperport. This unique event, held at Indochino, is designed for cybersecurity leaders looking to explore new insights, share expertise, and in a relaxed, professional setting. All attendees will receive a complimentary personalized blazer from Indochino, ensuring not only an evening of great conversation but also a tailored takeaway to remember the event by. Space is limited, and attendance is reserved for senior-level executives in the cybersecurity industry. Please RSVP to secure your spot.  Why you should attend: Connect with fellow cybersecurity executives and thought leaders in an intimate, inviting environment. Discover innovative approaches to tackling today’s top cybersecurity challenges shared by peers and industry experts.   By clicking “Request an invite”, I consent to the processing of my contact information by Anzenna and any co-hosts of the event, including contacting me. I acknowledge that Anzenna will use and keep my contact information for as long as necessary for these purposes in accordance with its Privacy Notice Request an invite By clicking “Request an invite”, I consent to the processing of my contact information by Anzenna and any co-hosts of the event, including contacting me. I acknowledge that Anzenna will use and keep my contact information for as long as necessary for these purposes in accordance with its Privacy Notice Request an invite About Our Event Host Ganesh Krishnan Co-Founder and CEO Ganesh, Co-Founder and CEO of Anzenna, is a seasoned security practitioner and technology leader with over 25 years of experience. Before founding Anzenna, he was an EIR (Entrepreneur In Residence) at 8VC and VP of Engineering at Sophos, which acquired his startup, Avid Secure. Previously, he served as CISO at Atlassian and LinkedIn, where he also led Privacy Engineering and bootstrapped the LinkedIn India Technology Center. Ganesh was VP of Information Security and CISO at Yahoo! Inc. He holds a Master’s in Computer Science from Purdue University. Steve Rutherford VP of Sales Steve Rutherford is the VP of Sales at Hyperport and has extensive experience driving revenue growth in operational technology and critical infrastructure security markets. Throughout his career, he has consistently delivered top-performing results while building relationships with Fortune 500 critical infrastructure clients in the oil and gas, power generation, manufacturing, and federal sectors.Steve brings unique credentials to the role, including a B.S. in Mechanical Engineering and International Relations from the U.S. Military Academy at West Point and Federal Top Secret Clearance (TS/SCI). His military background as a U.S. Army aviation officer and attack/reconnaissance helicopter pilot provides a deep understanding of mission-critical security requirements and high-stakes operational environments. He is a native Texan and currently lives in Houston with his wife and two children. --- ## Blazers Event Dallas URL: https://www.anzenna.ai/dallas/ Type: page Modified: 2025-11-04 Indochino​ | 27 March 2025, 5:30-8:30pm Blazers & Bourbon Join Anzenna and Arms Cyber for an Evening of Insightful Discussions, Networking, and a Complimentary Tailored Blazer from Indochino. Join Now 3119 Knox St. Dallas, TX 75205 Thursday, March 27th, 5:30 PM – 8:30 PM 3119 Knox St. Dallas, TX 75205 Thursday, March 27th, 5:30 PM – 8:30 PM 3119 Knox St. Dallas, TX 75205 Thursday, March 27th, 5:30 PM – 8:30 PM 3119 Knox St. Dallas, TX 75205 Thursday, March 27th, 5:30 PM – 8:30 PM Dallas Reserve your spot here Join us for an exclusive evening of networking and insightful discussions at the Blazers & Bourbon Executive Mixer, hosted by Anzenna and Arms Cyber. This unique event, held at Indochino, is designed for cybersecurity leaders looking to explore new insights, share expertise, and in a relaxed, professional setting. All attendees will receive a complimentary personalized blazer from Indochino, ensuring not only an evening of great conversation but also a tailored takeaway to remember the event by. Space is limited, and attendance is reserved for senior-level executives in the cybersecurity industry. Please RSVP to secure your spot.  Why you should attend: Connect with fellow cybersecurity executives and thought leaders in an intimate, inviting environment. Discover innovative approaches to tackling today’s top cybersecurity challenges shared by peers and industry experts.   By clicking “Request an invite”, I consent to the processing of my contact information by Anzenna and any co-hosts of the event, including contacting me. I acknowledge that Anzenna will use and keep my contact information for as long as necessary for these purposes in accordance with its Privacy Notice Request an invite About Our Event Host Ganesh Krishnan Co-Founder and CEO Ganesh, Co-Founder and CEO of Anzenna, is a seasoned security practitioner and technology leader with over 25 years of experience. Before founding Anzenna, he was an EIR (Entrepreneur In Residence) at 8VC and VP of Engineering at Sophos, which acquired his startup, Avid Secure. Previously, he served as CISO at Atlassian and LinkedIn, where he also led Privacy Engineering and bootstrapped the LinkedIn India Technology Center. Ganesh was VP of Information Security and CISO at Yahoo! Inc. He holds a Master’s in Computer Science from Purdue University. Tim Brown CISO Tim Brown joined SolarWinds in 2017 as vice president of security and is now the CISO for SolarWinds, overseeing internal IT security, product security, and security strategy. After the SUNBURST attack in December 2020, Tim Brown led the response and remediation efforts. Tim has spoken to thousands of customers and has been instrumental in all customer remediation support and services. He hasworked closely with the SolarWinds ® CEO in designing the future state of security and their “Secure by Design” philosophy.This new philosophy on software design will not only benefit SolarWinds but the industry as a whole, and it sets a precedent for responses to future cyberattacks. As a former Dell Fellow and CTO, Tim deeply understands the challenges and aspirations of the person responsible for driving digital innovation and change. Tim has over 25 years of experience, and his trusted advisor status has taken him from meeting with members of Congress and the Senate to the Situation Room in the White House. He’s also an avid inventor and holds 18 issued patents on security-related topics. Dennis Dayman Chief Information Security Officer Dennis Dayman is the Chief Information Security Officer at Constant Contact, bringing over 30 years of experience in combating online abuse, privacy/security challenges, and data governance issues. He has led global risk and compliance, security operations, and incident response at several organizations including Code42, Proofpoint, Return Path, and Eloqua (acquired by Oracle in 2012). Dayman was appointed to the U.S. Department of Homeland Security’s Data Privacy and Integrity Advisory Committee and serves as a U.S. Delegate to the International Organization for Standardization (ISO). He also sits on multiple industry boards, advises emerging tech companies, and frequently invests in startups, leveraging his extensive expertise in data protection and cybersecurity. --- ## AI Threats URL: https://www.anzenna.ai/use-cases/ai-threats/ Type: page Modified: 2025-10-30 Use case Block Exfiltration to unapproved AI Platforms Request a Demo Try Now The Problem The rapid adoption of AI platforms presents a new frontier for data exfiltration risks. Whether users intend to quickly solve a coding challenge, summarize internal documents, or brainstorm with AI, they might leak confidential or proprietary information into these systems. Despite often being well-intentioned, this can lead to unintentional leakage of sensitive data, including trade secrets, code snippets, or customer information. Key challenges Inadvertent Disclosure: Employees sharing proprietary data with third-party AI services—often lacking robust privacy guarantees. Malicious Intent: Insiders who deliberately use AI platforms to exfiltrate valuable intellectual property. Lack of Visibility: Traditional DLP tools are blind to such exfiltration or ephemeral interactions with AI chatbots or MCP servers. Security teams need holistic visibility and governance of AI usage in order to proactively secure without affecting productivity. The Anzenna Solution​ Anzenna tackles this emerging risk with a graph-based, agentless platform that monitors and correlates user AI activity across endpoints, cloud apps, and web sessions. By stitching together relevant events—including access to confidential files, copying content, and connecting with AI services—Anzenna enables real-time detection and proactive blocking of suspicious data transfers to external AI platforms. Deep Visibility into AI Interactions Anzenna monitors user uploads and interactions with AI platforms. Anzenna provides a unified view of who copies sensitive data, which application it originated from, and whether it was shared externally. Actionable Insights: Empowers security teams to quickly locate hotspots and apply targeted controls to reduce AI risks. Comprehensive Risk Scoring and Audit Anzenna provides a risk score for each incident, empowering security teams to prioritize critical threats. Real-Time Alerts & Blocking Detect attempts to expose sensitive data into AI systems, before data is actually sent. Block or remediate high-risk actions automatically—minimizing the chance of accidental or malicious disclosures. Holistic Exfiltration Control Whether data is shared via web browser, API connections, or native AI plugins, Anzenna’s agentless approach ensures you maintain full oversight without hindering productivity. Enable targeted policies to allow safe usage while preventing known toxic data transfers. Stay ahead of the evolving threat landscape with Anzenna. Protect your organization from unintentional or malicious data leaks into AI platforms—without stifling innovation or productivity. Other Related Use Cases --- ## AI Threats URL: https://www.anzenna.ai/use-case/ai-threats/ Type: use-case Modified: 2025-10-30 --- ## The Hidden Path: Model Context Protocol (MCP) URL: https://www.anzenna.ai/the-hidden-path-model-context-protocol-mcp/ Type: post Modified: 2025-10-30 Think You’ve Blocked All AI Tools Except the “Approved” One? Think Again. As organizations race to adopt AI responsibly, many have taken the first step toward governance, allowing only one “approved” AI client, like Anthropic’s Claude or Microsoft Copilot, while blocking others such as ChatGPT or Gemini. It’s a sound policy in theory. But in practice, it is not enough. The Hidden Path: Model Context Protocol (MCP) The emerging Model Context Protocol (MCP) is designed to make AI tools more powerful and extensible. Think of it as the Web API for AI, a standard way for AI clients to connect to external services, tools, and data sources. This interoperability is great for productivity. It lets users bring their own data, automate workflows, and access third-party services directly within their AI tool of choice. But it also creates a new kind of security blind spot. How This Works in Practice Even if your company has restricted AI access to a single “safe” tool, say Claude, that client can still connect to external MCP servers. For example, a user could configure Claude Desktop to connect to an MCP server that routes requests to OpenAI’s API. In other words, they’re using Claude as a front-end, but the intelligence (and data) is actually flowing through GPT-4. This can even happen inside developer environments like VS Code, where MCP-enabled plugins allow AI agents to communicate with APIs and data sources outside your control. Why This Matters Your DLP, firewall, or AI-blocking policies likely don’t account for this. Those controls may see traffic to “Claude” and assume it’s compliant, but in reality, that client could be relaying sensitive information to unapproved external models through MCP. In short, your DLP is not enough to protect MCP. That means your carefully approved AI policy could be bypassed without malicious intent, simply because the protocol allows it. What You Can Do Here are some practical steps to regain visibility and control: Inventory AI extensions and MCP connections: Identify which MCP servers are configured across endpoints. Restrict unverified servers: Limit installation of custom MCP servers or npm packages that can act as bridges to other models. Monitor process and network behavior: Watch for AI tools spawning subprocesses or making external API calls. Educate developers and analysts: Awareness can be a line of defense. Many simply don’t realize that “approved” AI tools can connect elsewhere. Adopt tools that provide real AI visibility: Focus on solutions that can see AI behavior across clients, extensions, and data flows,  not just traffic labels. A New Layer of AI Risk As MCP adoption accelerates, this will become a central challenge for enterprise AI governance. The protocol itself isn’t malicious, it’s powerful by design but without visibility & control, it can quietly extend your risk surface. The takeaway is simple: Limiting which AI tools are allowed isn’t enough. You need visibility into what those tools connect to and how they’re used. If you want to understand and control how MCP is being used in your environment — and which AI services are really being accessed, Anzenna can help. Anzenna provides a complete inventory of MCP usage across every asset and user in your environment along with risk classification so you can quickly block potentially malicious MCP sources that can leak data. This is the next frontier in protecting against Shadow AI.  --- ## Use Cases URL: https://www.anzenna.ai/use-cases/ Type: page Modified: 2025-10-29 Use Cases Discover practical applications of our solutions and how they can benefit your business. Data Exfiltration Threat Management All Data Exfiltration Threat Management All --- ## Data & IP Exfiltration URL: https://www.anzenna.ai/use-cases/data-and-ip-exfiltration/ Type: page Modified: 2025-09-12 Use case Identify unauthorized data transfers and safeguard valuable IP with real-time detection. Request a Demo Try Now The Problem Every enterprise faces an expanding range of data and intellectual property (IP) sources, potential exfiltration destinations, and methods of moving information out. This multifaceted environment creates a real risk of data slipping away unnoticed—whether accidentally or maliciously. Key challenges Proliferation of data sources (corporate drives, endpoints, SaaS apps) Diverse exfiltration methods (browser, cloud, collaboration tools and CLI) Inability to correlate isolated events into actionable insights The Anzenna Solution​ Anzenna’s graph-based, agentless approach brings order to chaos by correlating events in real time. Complete Visibility Monitor exfiltration activities without installing endpoint agents Track critical channels (email, cloud storage, collaboration apps) Holistic Data Movement View Unify events into an integrated data lineage graph Highlight suspicious patterns (e.g, SharePoint → personal Dropbox) Risk-Based Remediation Block high-risk actions in real time Prioritize alerts based on severity AI-Powered Pattern Detection Detect toxic combinations (e.g. download + external upload + external scp) Build clear trails of suspicious activity AI-Powered Actionable Context Provide user identity, file metadata, and destination details Enable rapid investigation and remediation Other Related Use Cases --- ## Source Code Exfiltration URL: https://www.anzenna.ai/use-cases/source-code-exfiltration/ Type: page Modified: 2025-09-12 Use case Block Unauthorized Source Code Movement Request a Demo Try Now The Problem Protecting Your Organization’s Crown Jewels Source code often represents the most valuable IP of technology-driven organizations. Insider breaches involving code theft can cause catastrophic damage. Key challenges Lack of visibility into company code movements e.g. (Git pushes to personal repos, scp to non company hosts Inability to detect unauthorized pushes to personal repositories Difficulty prioritizing alerts and rapid response due to millions of source code activity by company engineers The Anzenna Solution​ Anzenna safeguards code by tracking every clone, commit, and transfer. End-to-End Visibility Track code movements across GitHub, GitLab, and CLI tools Monitor SCP, Rsync, and other transfer methods AI-Driven Correlation Stitch user actions, repository events, and network activity Surface patterns (e.g., repeated cloning + external push) Actionable Intelligence Provide context (time, user, destination) for incidents Highlight severity based on code sensitivity Rapid Remediation Block unauthorized transfers Initiate workflows for high-risk incidents Compliance Assurance Log all code movements for audits Demonstrate due diligence for IP protection Stay ahead of the evolving threat landscape with Anzenna. Protect your organization from unintentional or malicious data leaks into AI platforms—without stifling innovation or productivity. Other Related Use Cases --- ## Device and Application Threats URL: https://www.anzenna.ai/use-cases/device-and-application-threats/ Type: page Modified: 2025-09-12 Use case Secure Devices Without Impacting Productivity Request a Demo Try Now The Problem Attackers can get insiders to install rogue applications or browser extensions on their devices. This allows attackers to bypass strong authentication controls like passkeys and still take over user sessions to compromise the company and exfiltrate data. This happens despite the best in class EDR and admin controls. Key challenges Lack of continuous visibility into installed apps/extensions and their associated risk Difficulty prioritizing risky devices/users Balancing security with employee productivity Ability to easily remediate rogue or unwanted applications The Anzenna Solution​ Anzenna integrates with MDM/EDR to score device posture and app risks. Device Inventory & Compliance Centralize device data Flag misconfigurations (e.g. outdated OS) Repeat Infection Analysis Correlate malware events with user behavior Identify root causes (e.g., frequent risky downloads) App/Extension Risk Scoring Catalog all installed software and browser extensions Assign AI-based risk scores Targeted Mitigation Remove high-risk apps/extensions automatically Restrict local admin rights for vulnerable users Productivity-Friendly Controls Avoid blanket restrictions Apply policies only to high-risk devices/users Other Related Use Cases --- ## Insider Cloud Data Exfiltration URL: https://www.anzenna.ai/use-cases/insider-cloud-data-exfiltration/ Type: page Modified: 2025-09-12 Use case Prevent Accidental and Malicious Insider Data Theft Request a Demo Try Now The Problem Anzenna safeguards against data leaks by monitoring external file shares, personal drive usage, and suspicious activities across Snowflake and collaboration tools. Unified, privacy-compliant controls detect abnormal behavior and enforce protective policies without compromising employee privacy. Key challenges External/public file shares Mixing personal and corporate cloud accounts Big data exfiltration via platforms like Snowflake The Anzenna Solution​ Anzenna maps data flows across cloud ecosystems to block leaks. External Share Monitoring Inventory and score external file shares Highlight top sharers and unusual behaviors Personal Account Tracking Trace corporate files uploaded to personal drives Detect AI platform data pasting (e.g., ChatGPT) Big Data Protection Monitor Snowflake for suspicious queries and exports Apply unified policies across platforms Collaboration Tool Oversight Detect external file sharing via Slack/Teams Differentiate normal vs. risky collaboration Privacy-Compliant Controls Customize data collection scope Balance employee privacy with risk visibility Stay ahead of the evolving threat landscape with Anzenna. Protect your organization from unintentional or malicious data leaks into AI platforms—without stifling innovation or productivity. Other Related Use Cases --- ## Identity Threats URL: https://www.anzenna.ai/use-cases/identity-threats/ Type: page Modified: 2025-09-12 Use case Secure Insider Identities, Prevent Breaches, and Justify Controls Request a Demo Try Now The Problem The battle for insider identities external attackers target insider identities through phishing, credential stuffing, and MFA fatigue. Compromised accounts enable lateral movement, data theft, and ransomware. Key challenges Shadow IT and credential reuse Logins from unmanaged devices MFA misconfigurations and session hijacking The Anzenna Solution​ Anzenna secures human and non-human identities with graph-based insights. Shadow IT Detection Identify SaaS apps using corporate credentials Enforce password policies and MFA adoption External Breach Remediation Integrate breach feeds (e.g., Have I Been Pwned) Force password resets for compromised accounts Unmanaged Device Control Detect logins from personal devices Require MFA or block high-risk access MFA Visibility Compare policies to real-world usage Flag misconfigured or disabled MFA Session Hijacking Prevention Score app installations and OAuth grants Revoke risky sessions with one click Other Related Use Cases --- ## SaaS Threats URL: https://www.anzenna.ai/use-cases/saas-threats/ Type: page Modified: 2025-09-12 Use case Prevent Insider Data Leaks Through SaaS Apps, Optimize Costs, and Justify Controls Request a Demo Try Now The Problem Unmanaged SaaS Sprawl and Hidden Risks Unvetted SaaS apps and excessive OAuth permissions create data leakage risks. Shadow IT adoption and redundant tools increase costs and attack surfaces. Key challenges Rogue or compromised SaaS apps leaking sensitive data Employees granting overbroad OAuth permissions Lack of visibility into SaaS usage trends and costs The Anzenna Solution​ Anzenna provides agentless visibility into SaaS usage, permissions, and risks. SaaS Inventory & Risk Prioritization Automatically discover all SaaS apps in use Highlight top-used , underused, and high-risk apps OAuth Permission Oversight Score apps based on vendor reputation and permissions Flag excessive access (e.g., “read all emails”) Cost Optimization Identify redundant or unused SaaS subscriptions Reduce operational expenses with data-driven insights Employee Self-Remediation Empower users to revoke risky OAuth grants Simplify compliance with guided workflows Policy Enforcement Block high-risk SaaS app registrations Enforce SSO adoption for corporate-approved tools Other Related Use Cases --- ## FAQ URL: https://www.anzenna.ai/faq/ Type: page Modified: 2025-09-07 FAQ Find answers to common questions about Anzenna Why is insider risk management important? Given over 60% of breaches are due to insiders, managing insider risk is one of the most important aspects of Cybersecurity. A comprehensive understanding of insider risk also allows you to prioritize your security program based on real breach risk. What is Anzenna? Anzenna is a comprehensive agentless Insider Risk Management solution that deploys in minutes. Anzenna swiftly detects insider risks across heterogeneous systems, vulnerability points, attack vectors, employee roles and privileges. It assists in remedying these risks, preventing data leaks, and safeguarding administrators, executives and employees from cyber attacks. What is different about Anzenna? Anzenna is an Agentless People SIEM that provides comprehensive threat detection and remediation replacing several existing tools such as UEBA, IRM, CASB while reducing your SIEM ingestion costs.   Unified IRM (Detect, Disrupt and Deter Insider Risk)Anzenna is your single tool to manage insider risk across the enterprise Agentless Insider Risk Protection in minutesAnzenna requires no agents to install or manage, reducing your time to value and internal resource commitment from months to minutes Effective Threat detectionAnzenna unifies data across a whole bunch of heterogeneous systems to provide unique insights on insider vulnerabilities Comprehensive CoverageAnzenna helps manage insider risk comprehensively across SaaS, Data, Device, Identity, Phishing, Ransomware, Malware and even your custom events. Employee and Team Risk ScoresAnzenna computes a risk score for every employee and team along with high severity vulnerabilities to remediate in order to reduce risk Prioritized Insights without Alert FatigueAnzenna automatically prioritizes and surfaces the right insights so you can focus on what’s important without alert fatigue Simplified SOC investigations and responseAnzenna simplifies SOC investigations by providing detailed insider activity based on their risk & roles. E.g. High Privilege, New Hires, Contractors, Departing, Departed, PIP. Replace Existing SolutionsAnzenna eliminates the need for separate UBA, SaaS security and awareness training solutions. Leverage Existing Investments without Dashboard SprawlAnzenna data is consumable into other systems like SIEMs or via API. Anzenna dashboards are also accessible by individual team leaders given hierarchical access control model Intelligent configurabilityAnzenna can be configured and personalized according to your business needs and associated risks Automated Remediation workflows that deter insider riskAnzenna provides No-code remediation workflows that can be used to contextually train employees or self-remediate vulnerabilities to deter insider risk Happy EmployeesAnzenna customers enjoy 85% 5-star reviews from employees for easy engagement workflows and no agents to slow down their devices. Custom CoverageInsiders risk applies not just to your IT tools but also your custom tools like support applications, production environments. Anzenna helps you understand risk for your own tools. Modular DeploymentAnzenna allows you to start small and progressively add integrations to cover all your use cases Numerous Integrations100+ supported integrations and growing How does Anzenna compare with existing solutions? Existing solutions primarily focus on insider threat as it relates to data (i.e. malicious insiders exfiltrating data) whereas Anzenna solves for broader insider risk, which includes not just malicious insiders but also accidental and negligent insiders, who are constantly exploited by attackers and cause most significant breaches.   Existing solutions are agent based, which significantly increases operational complexity and cost. Anzenna is agentless, sets up in minutes and is significantly cheaper to operate.   Existing solutions are focussed on data sharing risks. Anzenna rapidly detects insider vulnerabilities across 15+ vectors such as Data, SaaS, Identity, Endpoint, Phishing etc. Existing SIEM based approaches require you to aggregate and pay for data and keep up with detections as the threat landscape changes. We have a DLP deployment. Is that sufficient? No. DLP primarily focuses on data classification and associated risks. However, insider risk is not only about data but about rapidly detecting insider vulnerabilities across 15+ vectors such as Data, SaaS, Identity, Endpoint, Phishing etc.   For example, your existing DLP solution is not going to find and remove a malicious browser extension that an employee accidentally installed. How does Anzenna work? Anzenna agentlessly connects with SaaS tools, Security tools, SIEM and other IT systems, to provide comprehensive risk insights on employee activity and posture. It also assigns risk scores to individuals and teams, helping identify high-risk user populations. These scores can then be used to manage access and enhance security workflows along with very targeted employee engagement. Ultimately, Anzenna plays a vital role in detecting, deterring and disrupting insider risk. How much time and effort does it take to setup and operate Anzenna? Anzenna is agentless, sets up in minutes and is significantly cheaper to operate. You do not need to deploy and maintain an agent or spend time configuring the product. Anzenna automatically surfaces the right insights so you can focus on what’s most important without worrying about alert fatigue Does Anzenna create dashboard sprawl? No. Anzenna insights are consumable into a SIEM or via API. Anzenna dashboards are also accessible by individual teams outside security given its hierarchical access control model. How can we leverage our existing investment in SEIM with Anzenna? Anzenna can publish its data into your SIEM so your SOC can consume it more easily without creating dashboard sprawl.   Once you start using Anzenna, you can stop ingesting the data that Anzenna already has into your existing SIEM thus saving $$$$$. How can Anzenna help leverage our existing investments in DLP/DRM solutions? Anzenna integrates with existing DLP solutions to tap into already defined data classifications. Anzenna further enhances the value of your existing DLP/DRM solutions by allowing scalable resolutions of alerts using the Anzenna remediation module that allows users to self-remediate problems or request exceptions without burdening the SOC. This creates huge time saving and process efficiencies. Is Anzenna more effective at detecting vulnerabilities & threats? Yes. Since Anzenna unifies data across a whole bunch of your Security, IT and HR systems, it can join and chain relevant data to provide better insights and understanding of vulnerabilities that actually matter.   Currently most tools are operated in silos and Anzenna breaks those silos. I have DLP, Zero trust, MFA, SaaS monitoring, blocks on personal file storage, no admin rights on laptops. Can I still benefit from Anzenna? Lots of blocks are not practical in terms of productivity for most businesses. It’s good to have the above controls if possible, but you still need visibility and risk assessment on things that are allowed, which is what Anzenna provides. E.g. MFA enabled organizations are getting breached using techniques like notification flooding. Moving to passkeys could be the next logical step, in which case attackers will move to session hijacking using malware and/or browser extensions. That’s where Anzenna gives you the risk visibility since you cannot prevent your employees from using apps. What security tools does Anzenna help displace? Are there other benefits of using Anzenna that would help IT Orgs create a self-funding business case? Anzenna replaces existing UEBA, IRM and CASB/SaaS security solutions.   You can eliminate your UEBA skew in your SIEM and eliminate all the maintenance and licensing cost. You can also stop ingesting the data that Anzenna has into your SIEM to further save $$$$$.   There is no need to purchase a separate SaaS security product if you have Anzenna. Anzenna provides visibility on SaaS issues like risky Oauth grants, commonly used SaaS apps, unused SaaS apps, visibility on Shadow IT etc.   Anzenna remediation framework can also replace your existing training solutions with approaches that are 8X+ more effective. Our customers have seen 85% employee 5 star reviews with the Anzenna training module that helps deter insider risk. Is Anzenna itself secure? Does it introduce any new security or privacy concerns? Anzenna does not introduce any new security or privacy concerns. Anzenna has Read-only access to meta-data only Anzenna access is revocable by the customer at any time Anzenna is Microsoft 365 security certified which includes an independent compliance assessment and pentest by Microsoft Anzenna is SOC2-Type 2 certified. We welcome any questions you have about our security infrastructure so you can feel comfortable with our security practices. Is Anzenna right for me? If you are concerned about insider risk at your company, see for yourself. contact us for a demo --- ## From Data Leaks to Ransomware: How Cybercriminals Are Targeting SaaS Applications URL: https://www.anzenna.ai/from-data-leaks-to-ransomware-how-cybercriminals-are-targeting-saas-applications/ Type: post Modified: 2025-08-21 In a digital world, data is everything, but so are the risks that accompany it. When systems are breached, the confidentiality (keeping data private), integrity (making sure data is not tampered with), or availability (making data accessible when required) is compromised. The threats to our security are something we face every day, starting with leaked credentials and ending with ransomware attacks or even misconfigured SaaS tools.  Our day-to-day life is much engaged with SaaS platforms: logging into emails, collaborating on shared files, or messaging with co-workers. These applications have now become a part of how we live and work. However, convenience comes with the downside of vulnerability. Cyber criminals know this; hence, they exploit weak areas where people least expect it. The reality is that SaaS is becoming the backbone of how work gets done. That means the same tools that make us more efficient also can expand the attack surface in ways that many organizations underestimate. Once your data is leaked, what do you do about it? And how do you prevent an occurrence in the future? Anzenna uses AI to draw useful information out of over a hundred data signal types to react on emerging threats quickly and effectively. What Happens When a Data Breach Occurs? Basically, with the data breach, an unauthorized person is getting hold of your confidential information. Phishing, human errors, weak passwords, or some compromised password is generally the way by which data breaches occur. Consider one example: An employee clicks on an email link that looks fairly innocent and mundane. Now credentials are stolen and the attacker has been granted access to an organization’s critical systems. It’s rarely the dramatic, Hollywood-style hack. Instead, it’s the small, avoidable, human thing that balloons into something big. Therefore, the incidence of a data breach spells out many unpleasant consequences: financial losses, defamation, legal and regulatory issues, business operations interruption, to name just a few. So speedy, coordinated response becomes very critical. Furthermore, it’s important to note that these consequences will not vanish after the initial breach is contained. Reputational damage can linger for years, affecting customer trust and even future business partnerships. Because of this, companies are starting to view cybersecurity as a core part of business strategy rather than just an IT issue. What To Do If Your Data Is Leaked When a security breach is happening, the faster the incident response, the better. Here are some steps you can take immediately: Reset the credentials that were compromised immediately Enable multi-factor authentication on all accounts See if there is any suspicious activity coming up Notify the affected party (and the regulators, if required) Put in action the incident response plan These steps may seem obvious, but can be overlooked easily. That’s why preparation matters. Having these actions built into a repeatable playbook means you don’t lose precious time figuring out what to do when every second counts. Remember, remediation is only step one. Resilience means finding vulnerabilities before they get exploited. Anzenna gives you proactive visibility into risky user behaviors, SaaS misconfigurations, and insider threats, so you are always in front of the next incident. Ransomware: What You Need to Know Ransomware: What You Need to Know Ransomware is some sort of malicious software that extorts victims by restricting access to files until the ransom is paid. Hence can affect computers or networks, blocking and locking anything it touches. It stops the operations in panic time, causing so much financial havoc that in most cases, an entity is put to dust while its reputation is ruined.  Were you to even pay the ransom, you might lose any of the following: time, trust, or data.  For businesses, this disruption goes beyond these consequences.   It means employees unable to work, customers losing trust, and executives forced to make impossible decisions under pressure. For individuals, it can mean losing access to years of personal data in photos, documents, or projects. Your defense should be layered, utilizing strong authentication, backups, employee training, and real-time detection of anomalies. Since ransomware is usually propagated through users and SaaS apps, your security strategy has to consequently dig even deeper. How else can you keep yourself protected? Here are the basics to keep in mind: Use strong, unique authentication Regularly backup data, securely Train staff in cybersecurity matters Monitor systems in real time for anomalies Think of this as building layers of protection around your digital life. Each layer on its own isn’t enough, but together they create a net that’s much harder for attackers to break through. How Cybercriminals Target SaaS Applications SaaS platforms have now become a favorite target for attackers; not because they are weak, but because they are now everywhere. Cyber attackers can take advantage of any misconfigured settings, stolen credentials, or other instances of excessive user privileges and glide through cloud infrastructures unopposed. Many companies are not aware of the attack until heavy damage has been done. Without monitoring what the end-users are doing, who accesses what, and application setup, this scenario is likely to occur. In cybersecurity, one has to look for those subtle, very day-to-day threats: an open shared folder that ought not to have been open too long; an account that has more privileges than is reasonably necessary; a login from an out-of-the-way place that, strangely enough, nobody notices until it is too late. SaaS Security should be dynamic, real-time, and context-based on user behavior. Key Takeaway Breaches and ransomware are growing more prevalent. A rapid action can be taken to lessen the fallout. Anzenna helps focus on what’s relevant and go beyond reactive measures so that you can proactively manage risk. Cybersecurity doesn’t have to be complicated, but it does have to be useful and make sense in your business workflow. At the end of the day, it’s about protecting the trust your customers place in you, the hard work of your employees, and the data that drives your business forward. And with the right approach, you not only survive in a digital world full of risks, but you can thrive in it. --- ## Blazers Event Chicago URL: https://www.anzenna.ai/blazers-event-chicago/ Type: page Modified: 2025-08-19 August 20, 2025 | 5:00-8:00pm Blazers & Bourbon Join Anzenna and Lightbeam for an Evening of Insightful Discussions, Networking, and a Complimentary Tailored Blazer from Indochino. Join Now Indochino Chicago, 9 W Walton St. Wednesday, August 20th, 5:00 – 8:00 PM Indochino Chicago, 9 W Walton St. Wednesday, August 20th, 5:00 – 8:00 PM Indochino Chicago, 9 W Walton St. Wednesday, August 20th, 5:00 – 8:00 PM Indochino Chicago, 9 W Walton St. Wednesday, August 20th, 5:00 – 8:00 PM Indochino Chicago, 9 W Walton St. Wednesday, August 20th, 5:00 – 8:00 PM Indochino Chicago, 9 W Walton St. Wednesday, August 20th, 5:00 – 8:00 PM Chicago Reserve your spot here Join us for an exclusive evening of networking and insightful discussions at the Blazers & Bourbon Executive Mixer, hosted by Anzenna and LightBeam.ai. This unique event, held at Indochino, is designed for cybersecurity leaders looking to explore new insights, share expertise, and in a relaxed, professional setting. All attendees will receive a complimentary personalized blazer from Indochino, ensuring not only an evening of great conversation but also a tailored takeaway to remember the event by. Space is limited, and attendance is reserved for senior-level executives in the cybersecurity industry. Please RSVP to secure your spot.  Why you should attend: Connect with fellow cybersecurity executives and thought leaders in an intimate, inviting environment. Discover innovative approaches to tackling today’s top cybersecurity challenges shared by peers and industry experts.   By clicking “Request an invite”, I consent to the processing of my contact information by Anzenna and any co-hosts of the event, including contacting me. I acknowledge that Anzenna will use and keep my contact information for as long as necessary for these purposes in accordance with its Privacy Notice Request an invite By clicking “Request an invite”, I consent to the processing of my contact information by Anzenna and any co-hosts of the event, including contacting me. I acknowledge that Anzenna will use and keep my contact information for as long as necessary for these purposes in accordance with its Privacy Notice Request an invite About Our Event Host Ganesh Krishnan Co-Founder and CEO Ganesh, Co-Founder and CEO of Anzenna, is a seasoned security practitioner and technology leader with over 25 years of experience. Before founding Anzenna, he was an EIR (Entrepreneur In Residence) at 8VC and VP of Engineering at Sophos, which acquired his startup, Avid Secure. Previously, he served as CISO at Atlassian and LinkedIn, where he also led Privacy Engineering and bootstrapped the LinkedIn India Technology Center. Ganesh was VP of Information Security and CISO at Yahoo! Inc. He holds a Master’s in Computer Science from Purdue University. Himanshu Shukla Co-Founder and CEO Himanshu Shukla serves as the Co-Founder & CEO of LightBeam.ai. LightBeam automates data security and privacy compliance controls for InfoSec and Privacy teams, helping them accelerate their organizations’ businesses in national and international markets. Before establishing LightBeam.ai, Himanshu led Nutanix’s AIOPs team, where he initiated and cultivated the business from inception, achieving remarkable growth to a 100M run-rate. With over two decades of industry experience, he is a dedicated technologist with significant contributions to AI/ML, Search, Networking, and Compiler technology. Himanshu holds more than 20 patents and authored 5 published papers. --- ## About URL: https://www.anzenna.ai/about/ Type: page Modified: 2025-08-18 We are on a Mission to Stop Insider Risk People are one of the biggest security challenges for organizations, causing 68% of breaches. Yet, most solutions are limited to ineffective annual trainings or phishing tests. We’re here to change that! Request a Demo Try Now Leading Enterprises Trust Anzenna Building a more secure World Building a more secure World Our Founders We are lifelong security practitioners. Anzenna represents everything we’ve learned about creating a people focussed security program. Ganesh Krishnan Co-Founder and CEO Ex-CISO at Yahoo!,
LinkedIn and Atlassian Albert Yu Co-Founder and CTO Ex-Security Engineering lead at Yahoo!, Atlassian and Google Ganesh Krishnan Co-Founder and CEO Ex-CISO at Yahoo!,
LinkedIn and Atlassian Albert Yu Co-Founder and CTO Ex-Security Engineering lead at Yahoo!, Atlassian and Google Our Investors & Advisors We are fortunate to be backed by the best in the industry Doug Merritt CEO Aviatrix Ex-CEO Splunk Bhaskar Ghosh Co-Founder & Board Member Ex-LinkedIn, Yahoo! Cory Scott Ex-CISO Confluent Ex-Google, LinkedIn Doug Merritt CEO Aviatrix Ex-CEO Splunk Bhaskar Ghosh Partner 8VC Ex-LinkedIn, Yahoo! Cory Scott Ex-CISO Confluent Ex-Google,LinkedIn Careers We are excited to meet new creative people to join our team Are you passionate about building cutting-edge security solutions? We’re a fast-growing startup looking for talented software and data engineers to join our team. if you’re excited about solving complex problems and making a real impact, reach out and learn more about our open positions! Email Us Full-Time --- ## Why Human Error is Still the Biggest Cybersecurity Risk (and How to Fix It) URL: https://www.anzenna.ai/why-human-error-is-still-the-biggest-cybersecurity-risk-and-how-to-fix-it/ Type: post Modified: 2025-07-29 If there is one thing that every human can be relied on for, it is making mistakes. To err is only human nature. Despite being aware of this, why is the human element of cybersecurity often overlooked? Accounting for 95% of breaches worldwide, it is a significant issue. Three in four CISOs cited human error as their top cybersecurity risk in 2024. We must realize that cybercriminals don’t succeed through machines. They win through people. What is Human Error in Computer Security? Human error in the context of security refers to unintentional actions or inaction by employees or users that lead to a breach. Because human aspects of cyber security encompass a vast range of actions, it becomes quite challenging to address, ranging from downloading malware to failing to use a strong password. The same survey, which cited 75% of CISOs’ primary concern as the human factor in cybersecurity, noted that many of the top causes of data loss could be attributed to human error. A few examples include employee carelessness (42%), malicious insiders (36%), stolen employee credentials (33%), and lost/stolen devices (28%). Work environments have become increasingly complex with the proliferation of various tools, including password managers, two-factor authentication (2FA), biometrics, and other security measures. There is a lot to remember, and it all adds up for the average employee, who will often seek shortcuts. These shortcuts are all it takes for a hacker to identify a vulnerability and exploit it. Even with proper password management and security measures, cybercriminals can still find their way through with social engineering; they don’t need to code, just manipulate humans. Types of Human Error and Examples Human cyber risk comes in two different forms: skill-based and decision-based. Skill-based errors are minor mistakes that occur when performing tasks that are familiar and routine. An employee knows the correct course of action, but fails due to a temporary lapse in judgment. Decision-based errors occur when the user makes a faulty decision, which can happen due to various factors, such as lacking the necessary knowledge or failing to recognize that they are making a decision through inaction. Let’s go through some examples. Skill Based Misdelivery: Misdelivery happens when a user sends something to the wrong recipient, which is relatively easy to do if one isn’t careful. This is the 5th most common cause of security breaches. A prime example is the US government group chat leaks, where a reporter was mistakenly added to a group chat where senior officials were discussing confidential war plans. Password Problems: A whopping 45% of people reuse their main email password on other services. Password problems include writing down passwords on Post-it notes and sticking them on monitors, or sharing them with colleagues. These are everyday actions where people know better, but make careless mistakes. Physical Security: Unauthorized people can easily access confidential information if they gain access to secure premises. For example, leaving sensitive documents unattended for others to find. Tailgating is another concerning phenomenon, where an unauthorized person follows someone closely through a secure door. Decision Based Patching: When developers detect vulnerabilities in an application, they patch them and send out these updates to users. The problem arises when users delay installations, which can lead to compromises. Shadow IT: Shadow IT involves the use of software, applications, or devices that a company’s IT department hasn’t approved. This could include using Google Drive or downloading a Chrome extension because it is more efficient than the system the company uses, purely out of convenience and not necessarily malicious. However, these tools may have unaccounted security vulnerabilities, and can lead to blind spots for security teams. Falling for Phishing Scams: If an employee is in a rush or not paying close attention, it can be easy to fall for sketchy emails from people claiming to be someone they are not. Scammers understand human behavior in cyber security and are often quite skilled at crafting their emails, whether impersonating a CEO asking for gift cards or a message attached with an “important document.” Unaware employees can easily fall prey to these tricks, potentially leading to compromised information, malware downloads, and other security risks.  Human error can feel like a broad topic, but they are broken down by security leaders into structured categories called insider attack vectors, representing the most common ways insiders put organizations at risk. Industry data reveals the top concerns to be information disclosure (56%), unauthorized data operations (48%), credential and account abuse (47%), security evasion and bypass (45%), and software and code manipulation (44%). Stepping back, these categories directly reflect the errors we just went through, showing how small slip-ups and conscious choices feed into bigger security risks that teams have to manage every day.  Factors that Cause Human Errors in Cyber Security Human error does not arise out of thin air. There are various human factors of cyber security that contribute to the presence of human error. The simple truth is that if there are more opportunities for things to go wrong, more mistakes will happen. The company environment also plays a key role in the likelihood of human error happening. Human behavior and cybersecurity are closely intertwined, with privacy, posture, and noise level all contributing to a more error-prone environment. A company culture that neglects security only exacerbates the issue. The organization should address a lack of awareness regarding cybersecurity, as employees must be knowledgeable to minimize the risk of human error. How to Prevent Human Error Now, we understand the pressing nature of human error. How do we prevent it? Reduce the Opportunities More opportunities for error mean more mistakes, so let’s discuss how to reduce these opportunities. One effective way to mitigate human cybersecurity risks is to ensure that users and employees have access only to what they need to perform their roles. Any more and it risks leakage of sensitive information. Another is to effectively manage passwords, using tools like MFA and password management applications. This helps reduce the likelihood of password slip-ups and the implications of reused passwords. Change Your Culture Company culture shouldn’t be an afterthought; it plays a significant role in various aspects of a business and human behavior in cybersecurity. Employees should feel comfortable enough to discuss and ask questions in the workplace. Bring up security topics relevant to day-to-day work to keep employees engaged and help them understand how they can contribute to security. If employees or users have security concerns, they should be able to approach you or someone else with knowledge, rather than risk guessing. Reward people who ask questions, and always have someone there to answer them. Posting reminders on how to stay secure is only helpful. The key is to make each person feel like they share responsibility for the company’s security. Address Lack of Knowledge with Training Knowledge employees make for a more secure workplace. After all, they make up the “human” in human error. Employees need to be trained on core security topics so they know how to handle situations when they arise. Review past incidents to determine which are most important, and focus on those. Training should be relevant and engaging. Rather than sending out an all-encompassing training module once a year to all employees, consider identifying which employees require specific types of training and target them accordingly. Send out mini training modules monthly to keep topics fresh in their minds at all times, as opposed to doing it annually and then forgetting about them. Use AI Tools to Overcome Cybersecurity Human Risk Security professionals can only do so much on their own. After utilizing all the previous strategies, it is beneficial to have support in monitoring user risk to overcome human error. The rise of artificial intelligence has brought with it a plethora of AI tools that are incredibly helpful to practitioners in gaining insight into their company’s risk profile. It has been noted that 87% of global CISOs are seeking to deploy AI-powered capabilities to protect against human error and human-centered cyber threats. With clean dashboards and advanced analytics, they provide insights into cyber security and human factors that are difficult to obtain without specialized support. The Anzenna Solution Knowing the benefits of utilizing AI tools to address the human factor in cybersecurity, Anzenna immediately comes to mind. Its various functionalities help address multiple human risks that have been discussed. Anzenna provides insight into each user and assigns them a risk score based on their activity. Security teams can investigate shadow IT, identify if a user has downloaded a risky extension, and take action on the issue through the platform rather than just flagging it. The focus on users’ individual risk scores directly helps security teams monitor behaviors tied to insider attack vectors. Instead of just identifying misdelivery or phishing, it allows for the detection of deeper issues such as software manipulation or policy evasion. Based on the user’s dangerous behavior, such as downloading sensitive files to a personal computer or exposing private API keys to the public domain, specific training modules can be implemented. Rather than sending out a basic training module to every user to complete, this allows organizations to be effective and target those who need it most. This also means more engagement, as users know it is specifically for them and not just another lesson they are being forced to complete. Anzenna’s new copilot enables interaction across users and integrations, allowing users to ask key questions to extract the maximum benefit from the information. The platform provides for the management of access, preventing unauthorized individuals from accessing sensitive information and reducing the risk of data leaks.  Human risk is a significant issue, accounting for 95% of breaches and a top priority for 75% of CISOs. Anzenna directly addresses it, providing security teams with unparalleled insights and, hopefully, some peace of mind. --- ## DPA URL: https://www.anzenna.ai/dpa/ Type: page Modified: 2025-07-23 Exhibit A DATA PROCESSING ADDENDUM This Data Processing Addendum and all Annexes hereto (“DPA”) between customer identified in the signature block  (“Customer”) acting on its own behalf and as an agent for each Customer Affiliate, and Anzenna (“Company”).  This DPA forms part of the Anzenna Agreement (“Agreement”), entered into between Anzenna and Customer, and applies to the extent that Anzenna processes Personal Data on behalf of Customer in the course of providing the Services. This DPA serves as the final and entire expression of the parties’ agreement on the subject matter hereof, and is effective upon its incorporation into the Agreement.    For clarity, any terms capitalized and not defined here shall have the meaning as defined in the Agreement.  HOW TO EXECUTE THIS DPA:  This DPA consists of four parts: the DPA main body, the Standard Contractual Clauses (SCC) in Exhibit 1 (including Appendix), the UK Addendum in Exhibit 2, (UK data transfer purposes) Exhibit 3 (Swiss data transfer purposes) and Exhibit 4  (CCPA purposes).   To complete this DPA, You must:  Complete information in the signature boxes. Complete sub-processor information in Section 5.2. Complete information in Annex 1. Complete information at Table 3 of the UK Addendum. Complete signature pages.   DATA PROCESSING TERMS 1. Definitions.    Affiliate means an entity that owns or controls, is owned or controlled by, or is or under common control or ownership with either Customer or Company (as the context allows), where control is defined as the possession, directly or indirectly, or the power to direct or cause the direction of an entity’s management and policies, whether through ownership of voting security, by contract, or otherwise; Controller means the entity which determines the purposes and means of the Processing of Personal Data; Data Protection Laws means to the extent applicable: (i) GDPR and any applicable national associated laws or implementations thereof; (ii) the Swiss Federal Data Protection Act of 19 June 1992 and its Ordinance; (iii) GDPR as transposed into United Kingdom national law by operation of section 3 of the European Union (Withdrawal) Act 2018 and as amended by the Data Protection, Privacy and Electronic Communications (Amendments etc.) (EU Exit) Regulations 2019 (“UK GDPR”), together with the Data Protection Act 2018 (“UK Data Protection Law”); and (iv) State Privacy Laws; in each case, as may be amended, supplemented or replaced from time to time.  Data Security Incident means the accidental or unlawful destruction, loss, alteration, unauthorized disclosure of, or access to, Personal Data; Data Subject means the identified or identifiable person to whom Personal Data relates, and includes “consumer” as defined in CCPA;  Data Subject Request means a request from or on behalf of a Data Subject to exercise any right under relevant Data Protection Laws; EEA means the European Economic Area and, unless otherwise indicated, as used in this DPA, “EEA” or “EEA Member States” includes the United Kingdom (“UK”); GDPR means the General Data Protection Regulation, Regulation 2016/679 of the European Parliament and of the Council on the protection of natural persons with regard to the processing of Personal Data and on the free movement of such data, and repealing Directive 95/46/EC; Personal Data means any information relating to an identified or identifiable natural person processed by Company on Customer’s behalf pursuant to the Agreement, and includes “personal information” as defined in CCPA;  Processing means any operation or set of operations which is performed upon Personal Data, whether or not by automatic means, such as collection, recording, organization, structuring, storage, adaptation or alteration, retrieval, consultation, use, disclosure by transmission, dissemination or otherwise making available, alignment or combination, restriction, erasure or destruction;  Processor means an entity which Processes Personal Data on behalf of the Controller;  Restricted Transfer means a transfer of Personal Data from Customer to Company where such transfer would be prohibited by Data Protection Laws in the absence of the protection for the transferred Personal Data afforded pursuant to this DPA; SCC means, as the context requires or otherwise indicated in this DPA, (i) Module 2 of the EU standard contractual clauses set out in the Commission Implementing Decision (EU) 2021/914 of 4 June 2021 on standard contractual clauses for the transfer of personal data to third countries pursuant to Regulation (EU) 2016/679 of the European Parliament and of the Council,  attached in Exhibit 1 hereto, as amended or replaced from time to time by a competent authority under the relevant Data Protection Laws (“Module 2 SCC”). Services means any Company product, service offering, or support service provided to Customer as described in the Agreement;  State Privacy Laws means US state privacy laws, which may include but shall not be limited to, the California Consumer Privacy Act, Cal. Civ. Code 1798.100 et seq., as amended including by the California Privacy Rights Act (the “CCPA”), the Virginia Consumer Data Protection Act, Code of Virginia title 59.1, Chapter 52 (the “VCDPA”), the Colorado Privacy Act, Colorado Rev. Stat. 6-1-1301 et seq. (the “CPA”), the Utah Consumer Privacy Act, Utah Code 13-61-101 et seq. (“UCPA”), the Connecticut Act Concerning Personal Data Protection and Online Monitoring, Conn. PA 22-15 § 1 et seq. (“PDPOM”), or any regulations or guidance issued pursuant thereto; Subprocessor means any Processor (including any Company Affiliate) that Company engages to Process Personal Data in connection with the Services, and includes a “subcontrator” as that term is used in CCPA;  Swiss Addendum means the terms set out at Exhibit 3.  Swiss Data Protection Law means CH-DPA including its implementing ordinance and other data protection or privacy legislation in force in the Swiss Confederation, as may be amended from time to time; Restricted Swiss Data Transfer means a transfer of Personal Data which falls within the scope of Swiss Data Protection Law to a third country which does not ensure an adequate level of data protection from a Swiss law perspective. Supervisory Authority means (a) an independent public authority which is established by a member State pursuant to Article 51 GDPR; and (b) any similar regulatory authority responsible for the enforcement of Data Protection Laws in the UK or Switzerland; (c) or any other relevant data authority; UK means the United Kingdom of Great Britain and Northern Ireland; and UK Addendum to the SCCs means the international data transfer addendum to the European Commission’s standard contractual clauses for the transfer of personal data to third countries, as approved by the UK Parliament and published by the UK Information Commissioner’s Office (“ICO”), attached in Exhibit 2 hereto, as amended or revised from time to time by the ICO. The terms “business,” “business purpose,” “commercial purpose,” “sell,” “service provider,” and “share” shall have the meanings given to those terms in the State Privacy Laws to the extent such meanings are materially similar to terms’ meanings in CCPA, VCDPA, CPA, UCPA, or PDPOM.  In the event of a conflict in the meanings of terms in the State Privacy Laws, the parties agree that the definition in the applicable State Privacy Law shall apply to the extent of the conflict.   2. Processing. Roles of the Parties. The parties agree, regarding the Processing of Personal Data under relevant Data Protection Laws and this DPA, that (i) Customer determines the purposes and means of Processing and is the Controller and (ii) Company is a Processor or service provider Processing Personal Data on Customer’s behalf. Company will comply with its applicable obligations under Data Protection Laws. Company shall process Personal Data only on Customer’s documented instructions, including with regard to transfers to a third country or international organization, unless otherwise required by applicable law, in which case Company will inform Customer of that requirement unless prohibited on important grounds of public interest. For the avoidance of doubt the Agreement between Customer and Company, and of which this DPA forms a part, constitutes documented instructions on which Company may process Personal Data. Company will immediately inform Customer if Company has reason to consider that an instruction infringes Data Protection Laws. Sub-processing. Company may engage Sub-processors pursuant to  Section 5 below. Processing Details. The duration of the Processing, the nature and purpose of the Processing, the types of Personal Data and categories of Data Subjects Processed under this DPA are described in Exhibit 1, Annex I to this DPA.   3. Data Subject Rights. Company will promptly notify Customer if it receives a Data Subject Request and provide reasonable efforts to assist Customer in responding to such Data Subject Request. Company is responsible for any costs arising from its provision of assistance to Customer.  4. Personnel. Company will (i) restrict its personnel from Processing Personal Data without authorization (unless required  by applicable law) and (ii) ensure personnel engaged to Process Personal Data are informed of the confidential nature of the Personal Data, have received appropriate training on their responsibilities, and are subject to appropriate contractual confidentiality obligations.   5. Sub-Processors. Appointment of Sub-processors. Customer (i) authorizes Company’s Affiliates to be retained as Sub-processors, and (ii) authorizes Company to engage Sub-processors in connection with Processing Personal Data, subject to the terms of this DPA; provided that Company has entered into a written agreement with the applicable Sub-processor containing obligations substantially similar to those in this DPA. Company shall be fully liable to Customer for the performance of such Sub-proccessors’ failure to fulfil their respective obligations.  Current Sub-processors and Notification of New Sub-processors. Company may use Sub-processors for its Services.  Company will neither appoint nor disclose any Personal Data to a proposed Sub-processor except with Customer’ prior written consent; [Customer hereby consents to the Sub-processors listed in GCP – Google Cloud Platform. Company shall, upon request, provide Customer such copies of the Company’ s agreements with Sub-processors (which may be redacted to remove confidential commercial information not relevant to this Addendum’s requirements). Company shall notify Customer in writing at least 30 (thirty) calendar days before any new or replacement Sub-processor is engaged to process Personal Data. Objection Right for New Sub-processors. Customer may object, in good faith, to Company’s proposed use of a new or replacement Sub-processor by written notification to Company within thirty (30) calendar days after receiving the notice set out in Section 5.2. If Customer objects to a new Sub-processor, Company will use reasonable efforts to change Customer’s configuration or use of the Services to avoid Processing of Personal Data by the Sub-processor in question without restricting the Services in any way. If Company is unable to make a requested change within a reasonable period of time or if the Services are restricted as a consequence of the objection, Customer may terminate the applicable order form(s) and/ or Agreement without penalty.   6. Security. Company Obligations. Taking into account the state of the art, the costs of implementation, and the nature, scope, context, and purposes of Processing, Company shall maintain appropriate technical and organizational measures to protect the security, confidentiality and integrity of Personal Data, as described in Annex II hereto. Company regularly monitors compliance with these safeguards and will not materially decrease the overall security of the Services during the Term or make any substantive changes without Customer’s approval. Audit and Cooperation. Upon Customer’s written request, Company shall demonstrate compliance with this DPA and shall permit and contribute to audits or inspections of Company’s Processing of Personal Data under this DPA, provided, however: that (a) Customer gives Company at least one week’s written notice; (b) any audit or inspection will be conducted during normal business hours and shall not materially interfere with Company’s operations; and (c) Customer shall not be entitled access to any information that is subject to a confidentiality obligation under law. Company will cooperate and assist Customer in fulfilling Customer’s obligations under applicable law to carry out a data protection impact assessment and/or consult the relevant supervisory authority regarding such assessment related to Customer’s use of the Services.   7. Data Security Incident and Notification.  If Company becomes aware of a Data Security Incident involving Personal Data, it shall (i) notify Customer of the Data Security Incident in writing without undue delay but no later than thirty six (48) hours upon Company or any Sub-processor becoming aware of a Data Security Incident; and (ii) where possible, will use reasonable efforts to assist Customer in complying with Customer’s obligations under Data Protection Laws, including mitigating the Data Security Incident’s adverse effects.  Company shall have a documented incident response program and provide Customer with sufficient information to allow Customer to meet any reporting or notification obligations or inform Data Subjects of the Data Security Incident. Company shall fully cooperate with Customer and comply with all applicable Data Protection Laws at Company’s expense to stop or mitigate the effect of the Data Security Incident. Company will co-operate with Customer, to the extent reasonably requested and/or if required by Data Protection Laws, in notifying any Supervisory Authorities or Data Subjects following a Personal Data Breach. Company must maintain cyber-liability or breach insurance at the minimum levels specified in the Agreement. Company must further pay the costs (i) for notifying any Supervisory Authority or regulatory agency, (ii) for notifying any affected data subjects and, (iii) associated with mitigating the  effects of the Data Security Incident.   8. Transfer Mechanisms.  Customer (as “data exporter”) and Company (as “data importer”), with effect from the commencement of the relevant transfer, hereby enter into (i) the Module 2 SCC in respect of any Restricted Transfer from or on behalf of Customer to Company governed by GDPR, and/or (ii) the UK Addendum to the SCCs in respect of any Restricted Transfer from or on behalf of Customer to Company governed by UK Data Protection Law and/or (iii) the Swiss Addendum insofar as a Restricted Swiss Data Transfer is undertaken by the parties.. Customer authorises Restricted Transfers that are subject to the Module 2 SCC or the UK Addendum to the SCCs or the Swiss Addendum (as appropriate).  If, at any time, a Supervisory Authority or a court with competent jurisdiction over a party mandates that transfers of Personal Data from controllers in the EEA, Switzerland or UK to processors established outside the EEA, Switzerland or UK must be subject to specific additional safeguards (including but not limited to specific technical and organizational measures), the parties shall work together in good faith to implement such safeguards and ensure that any transfer of Personal Data is conducted with the benefit of such additional safeguards.   9. Termination Right. This DPA remains in effect for the duration of the Agreement between the parties and so long as Company processes Personal Data. Customer may terminate the SCC at Customer’s discretion by providing written notice to Company.  Company shall, at Customer’s choice, delete or return all Customer’s Personal Data to it after the termination of the Agreement or in any event after the end of the provision of processing services, and certify that this has been done, unless Company is required by law to store copies of the Personal Data.   10. CCPA Provisions This Section 10 (CCPA Provisions) supplements this DPA with additional provisions applicable to any Processing governed by the CCPA. In the event of any conflict between this Section and the remainder of this DPA, the provisions of this Section shall govern. Roles. The parties agree that Company is a service provider and Customer is a business. Company Responsibilities. Company agrees that: it shall not sell or share Personal Data; it shall not collect, retain, use, disclose or otherwise Process Personal Data: (i) for any purpose (including a commercial purpose) other than for the specific purpose of performing the Services and obligations for the benefit of Customer as specified in the Agreement, this DPA, or Exhibit 4 or (ii) outside of the direct business relationship between Company and Customer; it shall not combine Personal Data received from Customer with Personal Data that Company receives from, or on behalf of, another person or persons, or collects from its own interactions with consumers, if any;   notwithstanding anything to the contrary in Section 3 (Data Subject Rights), it shall promptly refer to Customer any requests received from consumers with respect to Personal Data, including requests to access, delete, or change Personal Data. Upon notice from Customer of a consumer request, which Customer shall provide when required by the CCPA, Company agrees to (a) reasonably cooperate with and reasonably assist Customer in responding to and fulfilling such request, or (b) directly comply with the request; Customer shall have the right to take reasonable and appropriate steps to ensure that Company uses Personal Data in a manner consistent with Customer’ obligations under the CCPA, including by monitoring Company’s compliance with this DPA through measures that may include manual reviews, automated scans, regular assessments, audits, or technical or operational testing (collectively for the purposes of this Section 10, “audit”). Company shall cooperate fully with any audit initiated by Customer, provided that such audit will not unreasonably interfere with the normal conduct of Company’s business; Company agrees to notify Customer no later than five (5) business days after Company determines that it can no longer meet its obligations under the CCPA.  Upon receiving notice from Company in accordance with this subsection, Customer may direct Company to take steps as reasonable and appropriate to remediate unauthorized Processing of Personal Data or terminate the Agreement upon thirty (30) days’ notice; and Company agrees to comply with all applicable sections of the CCPA, including providing the same level of privacy protection as required of Customer under the CCPA.   11. Miscellaneous.   The Agreement and this DPA apply only between the parties. Neither confer any rights to any other person or entity. This DPA does not modify the risk allocation agreed upon by the parties in the Agreement. The provisions of this DPA are supplemental to the Agreement.  In the event of inconsistencies (i) between the provisions of the Agreement and the provisions of this DPA, the latter shall prevail; and (ii) between the provisions of this DPA and the provisions of the SCC, the latter shall prevail.     On behalf of the data importer: Company Full Name:  Position:   Address:  PIER 5 SUITE 101 San Francisco CA 94111   Other information necessary in order for the contract to be binding (if any): Signature:     On behalf of the data exporter: Customer    Full Name:   Position:  Address:     Other information necessary in order for the contract to be binding (if any):  None Signature:   EXHIBIT 1 STANDARD CONTRACTUAL CLAUSES SECTION 1 Clause 1: Purpose and scope a) The purpose of these standard contractual clauses is to ensure compliance with the requirements of Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data (General Data Protection Regulation) for the transfer of personal data to a third country. b) The Parties: the natural or legal person(s), public authority/ies, agency/ies or other body/ies (hereinafter “entity/ies”) transferring the personal data, as listed in Annex I.A. (hereinafter each “data exporter”), and the entity/ies in a third country receiving the personal data from the data exporter, directly or indirectly via another entity also Party to these Clauses, as listed in Annex I.A. (hereinafter each “data importer”) have agreed to these standard contractual clauses (hereinafter: “Clauses”).  c) These Clauses apply with respect to the transfer of personal data as specified in Annex I.B. d) The Appendix to these Clauses containing the Annexes referred to therein forms an integral part of these Clauses.   Where the data exporter is a processor subject to Regulation (EU) 2016/679 acting on behalf of a Union institution or body as controller, reliance on these Clauses when engaging another processor (sub-processing) not subject to Regulation (EU) 2016/679 also ensures compliance with Article 29(4) of Regulation (EU) 2018/1725 of the European Parliament and of the Council of 23 October 2018 on the protection of natural persons with regard to the processing of personal data by the Union institutions, bodies, offices and agencies and on the free movement of such data, and repealing Regulation (EC) No 45/2001 and Decision No 1247/2002/EC (OJ L 295 of 21.11.2018, p. 39), to the extent these Clauses and the data protection obligations as set out in the contract or other legal act between the controller and the processor pursuant to Article 29(3) of Regulation (EU) 2018/1725 are aligned. This will in particular be the case where the controller and processor rely on the standard contractual clauses included in Decision 2021/915.   Clause 2: Effect and invariability of the Clauses a) These Clauses set out appropriate safeguards, including enforceable data subject rights and effective legal remedies, pursuant to Article 46(1) and Article 46 (2)(c) of Regulation (EU) 2016/679 and, with respect to data transfers from controllers to processors and/or processors to processors, standard contractual clauses pursuant to Article 28(7) of Regulation (EU) 2016/679, provided they are not modified, except to select the appropriate Module(s) or to add or update information in the Appendix. This does not prevent the Parties from including the standard contractual clauses laid down in these Clauses in a wider contract and/or to add other clauses or additional safeguards, provided that they do not contradict, directly or indirectly, these Clauses or prejudice the fundamental rights or freedoms of data subjects. b) These Clauses are without prejudice to obligations to which the data exporter is subject by virtue of Regulation (EU) 2016/679.   Clause 3: Third-party beneficiaries a) Data subjects may invoke and enforce these Clauses, as third-party beneficiaries, against the data exporter and/or data importer, with the following exceptions: Clause 1, Clause 2, Clause 3, Clause 6, Clause 7; Clause 8.1(b), 8.9(a), (c), (d) and (e); Clause 9(a), (c), (d) and (e); Clause 12(a), (d) and (f); Clause 13; Clause 15.1(c), (d) and (e); Clause 16(e); Clause 18(a) and (b). b) Paragraph (a) is without prejudice to rights of data subjects under Regulation (EU) 2016/679.   Clause 4: Interpretation a) Where these Clauses use terms that are defined in Regulation (EU) 2016/679, those terms shall have the same meaning as in that Regulation. b) These Clauses shall be read and interpreted in the light of the provisions of Regulation (EU) 2016/679. c) These Clauses shall not be interpreted in a way that conflicts with rights and obligations provided for in Regulation (EU) 2016/679.   Clause 5: Hierarchy In the event of a contradiction between these Clauses and the provisions of related agreements between the Parties, existing at the time these Clauses are agreed or entered into thereafter, these Clauses shall prevail.   Clause 6: Description of the transfer(s) The details of the transfer(s), and in particular the categories of personal data that are transferred and the purpose(s) for which they are transferred, are specified in Annex I.B.   Clause 7: Docking clause a) An entity that is not a Party to these Clauses may, with the agreement of the Parties, accede to these Clauses at any time, either as a data exporter or as a data importer, by completing the Appendix and signing Annex I.A. b) Once it has completed the Appendix and signed Annex I.A, the acceding entity shall become a Party to these Clauses and have the rights and obligations of a data exporter or data importer in accordance with its designation in Annex I.A. c) The acceding entity shall have no rights or obligations arising under these Clauses from the period prior to becoming a Party.   SECTION II – OBLIGATIONS OF THE PARTIES Clause 8: Data protection safeguards The data exporter warrants that it has used reasonable efforts to determine that the data importer is able, through the implementation of appropriate technical and organisational measures, to satisfy its obligations under these Clauses. 8.1: Instructions a) The data importer shall process the personal data only on documented instructions from the data exporter. The data exporter may give such instructions throughout the duration of the contract. b) The data importer shall immediately inform the data exporter if it is unable to follow those instructions. 8.2: Purpose limitation The data importer shall process the personal data only for the specific purpose(s) of the transfer, as set out in Annex I.B, unless on further instructions from the data exporter. 8.3: Transparency On request, the data exporter shall make a copy of these Clauses, including the Appendix as completed by the Parties, available to the data subject free of charge. To the extent necessary to protect business secrets or other confidential information, including the measures described in Annex II and personal data, the data exporter may redact part of the text of the Appendix to these Clauses prior to sharing a copy, but shall provide a meaningful summary where the data subject would otherwise not be able to understand the its content or exercise his/her rights. On request, the Parties shall provide the data subject with the reasons for the redactions, to the extent possible without revealing the redacted information. This Clause is without prejudice to the obligations of the data exporter under Articles 13 and 14 of Regulation (EU) 2016/679. 8.4: Accuracy If the data importer becomes aware that the personal data it has received is inaccurate, or has become outdated, it shall inform the data exporter without undue delay. In this case, the data importer shall cooperate with the data exporter to erase or rectify the data. 8.5: Duration of processing and erasure or return of data Processing by the data importer shall only take place for the duration specified in Annex I.B. After the end of the provision of the processing services, the data importer shall, at the choice of the data exporter, delete all personal data processed on behalf of the data exporter and certify to the data exporter that it has done so, or return to the data exporter all personal data processed on its behalf and delete existing copies. Until the data is deleted or returned, the data importer shall continue to ensure compliance with these Clauses. In case of local laws applicable to the data importer that prohibit return or deletion of the personal data, the data importer warrants that it will continue to ensure compliance with these Clauses and will only process it to the extent and for as long as required under that local law. This is without prejudice to Clause 14, in particular the requirement for the data importer under Clause 14(e) to notify the data exporter throughout the duration of the contract if it has reason to believe that it is or has become subject to laws or practices not in line with the requirements under Clause 14(a). 8.6: Security of processing a) The data importer and, during transmission, also the data exporter shall implement appropriate technical and organisational measures to ensure the security of the data, including protection against a breach of security leading to accidental or unlawful destruction, loss, alteration, unauthorised disclosure or access to that data (hereinafter “personal data breach”). In assessing the appropriate level of security, the Parties shall take due account of the state of the art, the costs of implementation, the nature, scope, context and purpose(s) of processing and the risks involved in the processing for the data subjects. The Parties shall in particular consider having recourse to encryption or pseudonymisation, including during transmission, where the purpose of processing can be fulfilled in that manner. In case of pseudonymisation, the additional information for attributing the personal data to a specific data subject shall, where possible, remain under the exclusive control of the data exporter. In complying with its obligations under this paragraph, the data importer shall at least implement the technical and organisational measures specified in Annex II. The data importer shall carry out regular checks to ensure that these measures continue to provide an appropriate level of security. b) The data importer shall grant access to the personal data to members of its personnel only to the extent strictly necessary for the implementation, management and monitoring of the contract. It shall ensure that persons authorised to process the personal data have committed themselves to confidentiality or are under an appropriate statutory obligation of confidentiality. c) In the event of a personal data breach concerning personal data processed by the data importer under these Clauses, the data importer shall take appropriate measures to address the breach, including measures to mitigate its adverse effects. The data importer shall also notify the data exporter without undue delay after having become aware of the breach. Such notification shall contain the details of a contact point where more information can be obtained, a description of the nature of the breach (including, where possible, categories and approximate number of data subjects and personal data records concerned), its likely consequences and the measures taken or proposed to address the breach including, where appropriate, measures to mitigate its possible adverse effects. Where, and in so far as, it is not possible to provide all information at the same time, the initial notification shall contain the information then available and further information shall, as it becomes available, subsequently be provided without undue delay. d) The data importer shall cooperate with and assist the data exporter to enable the data exporter to comply with its obligations under Regulation (EU) 2016/679, in particular to notify the competent supervisory authority and the affected data subjects, taking into account the nature of processing and the information available to the data importer. 8.7: Sensitive data Where the transfer involves personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, or trade union membership, genetic data, or biometric data for the purpose of uniquely identifying a natural person, data concerning health or a person’s sex life or sexual orientation, or data relating to criminal convictions and offences (hereinafter “sensitive data”), the data importer shall apply the specific restrictions and/or additional safeguards described in Annex I.B. 8.8: Onward transfers The data importer shall only disclose the personal data to a third party on documented instructions from the data exporter. In addition, the data may only be disclosed to a third party located outside the European Union (in the same country as the data importer or in another third country, hereinafter “onward transfer”) if the third party is or agrees to be bound by these Clauses, under the appropriate Module, or if:  The Agreement on the European Economic Area (EEA Agreement) provides for the extension of the European Union’s internal market to the three EEA States Iceland, Liechtenstein and Norway. The Union data protection legislation, including Regulation (EU) 2016/679, is covered by the EEA Agreement and has been incorporated into Annex XI thereto. Therefore, any disclosure by the data importer to a third party located in the EEA does not qualify as an onward transfer for the purpose of these Clauses. the onward transfer is to a country benefitting from an adequacy decision pursuant to Article 45 of Regulation (EU) 2016/679 that covers the onward transfer; the third party otherwise ensures appropriate safeguards pursuant to Articles 46 or 47 Regulation of (EU) 2016/679 with respect to the processing in question; the onward transfer is necessary for the establishment, exercise or defence of legal claims in the context of specific administrative, regulatory or judicial proceedings; or the onward transfer is necessary in order to protect the vital interests of the data subject or of another natural person. Any onward transfer is subject to compliance by the data importer with all the other safeguards under these Clauses, in particular purpose limitation. 8.9: Documentation and compliance a) The data importer shall promptly and adequately deal with enquiries from the data exporter that relate to the processing under these Clauses. b) The Parties shall be able to demonstrate compliance with these Clauses. In particular, the data importer shall keep appropriate documentation on the processing activities carried out on behalf of the data exporter. c) The data importer shall make available to the data exporter all information necessary to demonstrate compliance with the obligations set out in these Clauses and at the data exporter’s request, allow for and contribute to audits of the processing activities covered by these Clauses, at reasonable intervals or if there are indications of non-compliance. In deciding on a review or audit, the data exporter may take into account relevant certifications held by the data importer. d) The data exporter may choose to conduct the audit by itself or mandate an independent auditor. Audits may include inspections at the premises or physical facilities of the data importer and shall, where appropriate, be carried out with reasonable notice. e) The Parties shall make the information referred to in paragraphs (b) and (c), including the results of any audits, available to the competent supervisory authority on request.   Clause 9: Use of sub-processors a) OPTION 2: GENERAL WRITTEN AUTHORISATION The data importer has the data exporter’s general authorisation for the engagement of sub-processor(s) from an agreed list. The data importer shall specifically inform the data exporter in writing of any intended changes to that list through the addition or replacement of sub-processors at least 30 days in advance, thereby giving the data exporter sufficient time to be able to object to such changes prior to the engagement of the sub-processor(s). The data importer shall provide the data exporter with the information necessary to enable the data exporter to exercise its right to object. b) Where the data importer engages a sub-processor to carry out specific processing activities (on behalf of the data exporter), it shall do so by way of a written contract that provides for, in substance, the same data protection obligations as those binding the data importer under these Clauses, including in terms of third-party beneficiary rights for data subjects. The Parties agree that, by complying with this Clause, the data importer fulfils its obligations under Clause 8.8. The data importer shall ensure that the sub-processor complies with the obligations to which the data importer is subject pursuant to these Clauses. c) The data importer shall provide, at the data exporter’s request, a copy of such a sub-processor agreement and any subsequent amendments to the data exporter. To the extent necessary to protect business secrets or other confidential information, including personal data, the data importer may redact the text of the agreement prior to sharing a copy. d) The data importer shall remain fully responsible to the data exporter for the performance of the sub-processor’s obligations under its contract with the data importer. The data importer shall notify the data exporter of any failure by the sub-processor to fulfil its obligations under that contract. e) The data importer shall agree a third-party beneficiary clause with the sub-processor whereby – in the event the data importer has factually disappeared, ceased to exist in law or has become insolvent – the data exporter shall have the right to terminate the sub-processor contract and to instruct the sub-processor to erase or return the personal data.    Clause 10: Data subject rights a) The data importer shall promptly notify the data exporter of any request it has received from a data subject. It shall not respond to that request itself unless it has been authorised to do so by the data exporter. b) The data importer shall assist the data exporter in fulfilling its obligations to respond to data subjects’ requests for the exercise of their rights under Regulation (EU) 2016/679. In this regard, the Parties shall set out in Annex II the appropriate technical and organisational measures, taking into account the nature of the processing, by which the assistance shall be provided, as well as the scope and the extent of the assistance required. c) In fulfilling its obligations under paragraphs (a) and (b), the data importer shall comply with the instructions from the data exporter.   This requirement may be satisfied by the sub-processor acceding to these Clauses under the appropriate Module, in accordance with Clause 7.   Clause 11: Redress a) The data importer shall inform data subjects in a transparent and easily accessible format, through individual notice or on its website, of a contact point authorised to handle complaints. It shall deal promptly with any complaints it receives from a data subject. b) In case of a dispute between a data subject and one of the Parties as regards compliance with these Clauses, that Party shall use its best efforts to resolve the issue amicably in a timely fashion. The Parties shall keep each other informed about such disputes and, where appropriate, cooperate in resolving them. c) Where the data subject invokes a third-party beneficiary right pursuant to Clause 3, the data importer shall accept the decision of the data subject to: lodge a complaint with the supervisory authority in the Member State of his/her habitual residence or place of work, or the competent supervisory authority pursuant to Clause 13; refer the dispute to the competent courts within the meaning of Clause 18. d) The Parties accept that the data subject may be represented by a not-for-profit body, organisation or association under the conditions set out in Article 80(1) of Regulation (EU) 2016/679. e) The data importer shall abide by a decision that is binding under the applicable EU or Member State law. f) The data importer agrees that the choice made by the data subject will not prejudice his/her substantive and procedural rights to seek remedies in accordance with applicable laws.   Clause 12: Liability a) Each Party shall be liable to the other Party/ies for any damages it causes the other Party/ies by any breach of these Clauses. b) The data importer shall be liable to the data subject, and the data subject shall be entitled to receive compensation, for any material or non-material damages the data importer or its sub-processor causes the data subject by breaching the third-party beneficiary rights under these Clauses. c) Notwithstanding paragraph (b), the data exporter shall be liable to the data subject, and the data subject shall be entitled to receive compensation, for any material or non-material damages the data exporter or the data importer (or its sub-processor) causes the data subject by breaching the third-party beneficiary rights under these Clauses. This is without prejudice to the liability of the data exporter and, where the data exporter is a processor acting on behalf of a controller, to the liability of the controller under Regulation (EU) 2016/679 or Regulation (EU) 2018/1725, as applicable. d) The Parties agree that if the data exporter is held liable under paragraph (c) for damages caused by the data importer (or its sub-processor), it shall be entitled to claim back from the data importer that part of the compensation corresponding to the data importer’s responsibility for the damage. e) Where more than one Party is responsible for any damage caused to the data subject as a result of a breach of these Clauses, all responsible Parties shall be jointly and severally liable and the data subject is entitled to bring an action in court against any of these Parties. f) The Parties agree that if one Party is held liable under paragraph (e), it shall be entitled to claim back from the other Party/ies that part of the compensation corresponding to its / their responsibility for the damage. g) The data importer may not invoke the conduct of a sub-processor to avoid its own liability.   Clause 13: Supervision a) Where the data exporter is established in an EU Member State: The supervisory authority with responsibility for ensuring compliance by the data exporter with Regulation (EU) 2016/679 as regards the data transfer, as indicated in Annex I.C, shall act as competent supervisory authority. b) The data importer agrees to submit itself to the jurisdiction of and cooperate with the competent supervisory authority in any procedures aimed at ensuring compliance with these Clauses. In particular, the data importer agrees to respond to enquiries, submit to audits and comply with the measures adopted by the supervisory authority, including remedial and compensatory measures. It shall provide the supervisory authority with written confirmation that the necessary actions have been taken.     SECTION III – LOCAL LAWS AND OBLIGATIONS IN CASE OF ACCESS BY PUBLIC AUTHORITIES Clause 14: Local laws and practices affecting compliance with the Clauses a) The Parties warrant that they have no reason to believe that the laws and practices in the third country of destination applicable to the processing of the personal data by the data importer, including any requirements to disclose personal data or measures authorising access by public authorities, prevent the data importer from fulfilling its obligations under these Clauses. This is based on the understanding that laws and practices that respect the essence of the fundamental rights and freedoms and do not exceed what is necessary and proportionate in a democratic society to safeguard one of the objectives listed in Article 23(1) of Regulation (EU) 2016/679, are not in contradiction with these Clauses. b) The Parties declare that in providing the warranty in paragraph (a), they have taken due account in particular of the following elements: the specific circumstances of the transfer, including the length of the processing chain, the number of actors involved and the transmission channels used; intended onward transfers; the type of recipient; the purpose of processing; the categories and format of the transferred personal data; the economic sector in which the transfer occurs; the storage location of the data transferred; the laws and practices of the third country of destination– including those requiring the disclosure of data to public authorities or authorising access by such authorities – relevant in light of the specific circumstances of the transfer, and the applicable limitations and safeguards; any relevant contractual, technical or organisational safeguards put in place to supplement the safeguards under these Clauses, including measures applied during transmission and to the processing of the personal data in the country of destination. c) The data importer warrants that, in carrying out the assessment under paragraph (b), it has made its best efforts to provide the data exporter with relevant information and agrees that it will continue to cooperate with the data exporter in ensuring compliance with these Clauses. d) The Parties agree to document the assessment under paragraph (b) and make it available to the competent supervisory authority on request. e) The data importer agrees to notify the data exporter promptly if, after having agreed to these Clauses and for the duration of the contract, it has reason to believe that it is or has become subject to laws or practices not in line with the requirements under paragraph (a), including following a change in the laws of the third country or a measure (such as a disclosure request) indicating an application of such laws in practice that is not in line with the requirements in paragraph (a).   As regards the impact of such laws and practices on compliance with these Clauses, different elements may be considered as part of an overall assessment. Such elements may include relevant and documented practical experience with prior instances of requests for disclosure from public authorities, or the absence of such requests, covering a sufficiently representative time-frame. This refers in particular to internal records or other documentation, drawn up on a continuous basis in accordance with due diligence and certified at senior management level, provided that this information can be lawfully shared with third parties. Where this practical experience is relied upon to conclude that the data importer will not be prevented from complying with these Clauses, it needs to be supported by other relevant, objective elements, and it is for the Parties to consider carefully whether these elements together carry sufficient weight, in terms of their reliability and representativeness, to support this conclusion. In particular, the Parties have to take into account whether their practical experience is corroborated and not contradicted by publicly available or otherwise accessible, reliable information on the existence or absence of requests within the same sector and/or the application of the law in practice, such as case law and reports by independent oversight bodies.   f) Following a notification pursuant to paragraph (e), or if the data exporter otherwise has reason to believe that the data importer can no longer fulfil its obligations under these Clauses, the data exporter shall promptly identify appropriate measures (e.g. technical or organisational measures to ensure security and confidentiality) to be adopted by the data exporter and/or data importer to address the situation. The data exporter shall suspend the data transfer if it considers that no appropriate safeguards for such transfer can be ensured, or if instructed by the competent supervisory authority to do so. In this case, the data exporter shall be entitled to terminate the contract, insofar as it concerns the processing of personal data under these Clauses. If the contract involves more than two Parties, the data exporter may exercise this right to termination only with respect to the relevant Party, unless the Parties have agreed otherwise. Where the contract is terminated pursuant to this Clause, Clause 16(d) and (e) shall apply.  Clause 15: Obligations of the data importer in case of access by public authorities 15.1: Notification a) The data importer agrees to notify the data exporter and, where possible, the data subject promptly (if necessary with the help of the data exporter) if it: receives a legally binding request from a public authority, including judicial authorities, under the laws of the country of destination for the disclosure of personal data transferred pursuant to these Clauses; such notification shall include information about the personal data requested, the requesting authority, the legal basis for the request and the response provided; or becomes aware of any direct access by public authorities to personal data transferred pursuant to these Clauses in accordance with the laws of the country of destination; such notification shall include all information available to the importer. b) If the data importer is prohibited from notifying the data exporter and/or the data subject under the laws of the country of destination, the data importer agrees to use its best efforts to obtain a waiver of the prohibition, with a view to communicating as much information as possible, as soon as possible. The data importer agrees to document its best efforts in order to be able to demonstrate them on request of the data exporter. c) Where permissible under the laws of the country of destination, the data importer agrees to provide the data exporter, at regular intervals for the duration of the contract, with as much relevant information as possible on the requests received (in particular, number of requests, type of data requested, requesting authority/ies, whether requests have been challenged and the outcome of such challenges, etc.).  d) The data importer agrees to preserve the information pursuant to paragraphs (a) to (c) for the duration of the contract and make it available to the competent supervisory authority on request. e) Paragraphs (a) to (c) are without prejudice to the obligation of the data importer pursuant to Clause 14(e) and Clause 16 to inform the data exporter promptly where it is unable to comply with these Clauses. 15.2: Review of legality and data minimisation a) The data importer agrees to review the legality of the request for disclosure, in particular whether it remains within the powers granted to the requesting public authority, and to challenge the request if, after careful assessment, it concludes that there are reasonable grounds to consider that the request is unlawful under the laws of the country of destination, applicable obligations under international law and principles of international comity. The data importer shall, under the same conditions, pursue possibilities of appeal. When challenging a request, the data importer shall seek interim measures with a view to suspending the effects of the request until the competent judicial authority has decided on its merits. It shall not disclose the personal data requested until required to do so under the applicable procedural rules. These requirements are without prejudice to the obligations of the data importer under Clause 14(e). b) The data importer agrees to document its legal assessment and any challenge to the request for disclosure and, to the extent permissible under the laws of the country of destination, make the documentation available to the data exporter. It shall also make it available to the competent supervisory authority on request.  c) The data importer agrees to provide the minimum amount of information permissible when responding to a request for disclosure, based on a reasonable interpretation of the request.   SECTION IV – FINAL PROVISIONS Clause 16: Non-compliance with the Clauses and termination a) The data importer shall promptly inform the data exporter if it is unable to comply with these Clauses, for whatever reason. b) In the event that the data importer is in breach of these Clauses or unable to comply with these Clauses, the data exporter shall suspend the transfer of personal data to the data importer until compliance is again ensured or the contract is terminated. This is without prejudice to Clause 14(f). c) The data exporter shall be entitled to terminate the contract, insofar as it concerns the processing of personal data under these Clauses, where: the data exporter has suspended the transfer of personal data to the data importer pursuant to paragraph (b) and compliance with these Clauses is not restored within a reasonable time and in any event within one month of suspension; the data importer is in substantial or persistent breach of these Clauses; or the data importer fails to comply with a binding decision of a competent court or supervisory authority regarding its obligations under these Clauses. the data importer fails to comply with a binding decision of a competent court or supervisory authority regarding its obligations under these Clauses. d) Personal data that has been transferred prior to the termination of the contract pursuant to paragraph (c) shall at the choice of the data exporter immediately be returned to the data exporter or deleted securely in its entirety. The same shall apply to any copies of the data.  The data importer shall certify the deletion of the data to the data exporter. Until the data is deleted or returned, the data importer shall continue to ensure compliance with these Clauses. In case of local laws applicable to the data importer that prohibit the return or deletion of the transferred personal data, the data importer warrants that it will continue to ensure compliance with these Clauses and will only process the data to the extent and for as long as required under that local law. e) Either Party may revoke its agreement to be bound by these Clauses where (i) the European Commission adopts a decision pursuant to Article 45(3) of Regulation (EU) 2016/679 that covers the transfer of personal data to which these Clauses apply; or (ii) Regulation (EU) 2016/679 becomes part of the legal framework of the country to which the personal data is transferred. This is without prejudice to other obligations applying to the processing in question under Regulation (EU) 2016/679. Clause 17: Governing law OPTION 1: These Clauses shall be governed by the law of one of the EU Member States, provided such law allows for third-party beneficiary rights. The Parties agree that this shall be the law of Ireland. Clause 18: Choice of forum and jurisdiction a) Any dispute arising from these Clauses shall be resolved by the courts of an EU Member State. b) The Parties agree that those shall be the courts of Ireland. c) A data subject may also bring legal proceedings against the data exporter and/or data importer before the courts of the Member State in which he/she has his/her habitual residence. d) The Parties agree to submit themselves to the jurisdiction of such courts.   APPENDIX to EXHIBIT 1 EXPLANATORY NOTE: It must be possible to clearly distinguish the information applicable to each transfer or category of transfers and, in this regard, to determine the respective role(s) of the Parties as data exporter(s) and/or data importer(s). This does not necessarily require completing and signing separate appendices for each transfer/category of transfers and/or contractual relationship, where this transparency can achieved through one appendix. However, where necessary to ensure sufficient clarity, separate appendices should be used.   ANNEX I A. LIST OF PARTIES Data exporter(s): Customer provides information, including Personal Data, to be processed by Data importer as part of the Services.  Name: Customer  Address:   Ph:    E-mail:  Activities relevant to the data transferred under these Clauses: Customer may provide information, including personal data, to be processed as part of the Services. Signature and date:  Role (controller/processor): Controller     Data importer(s): Company.  Name:  Address:  Pier 5 Suite 101 San Francisco CA 94111 Ph.:  E-mail: Activities relevant to the data transferred under these Clauses:  Cybersecurity people risk assessment service Signature and date:  Role (controller/processor): Processor     B. DESCRIPTION OF TRANSFER Your obligations and rights Your obligations and rights are set out in the Agreement and in this DPA. Subject matter and duration of the Processing of Personal Data The subject matter of the processing is the performance of the Services pursuant to the Agreement. The duration of the processing is for the duration specified in the Agreement and in this DPA except where otherwise required by Data Protection Law.  The nature and purpose of the Transfer and Processing of Personal Data; Processing operations   Data importer will process Personal Data in connection with providing the Services or fulfilling contractual obligations to Customer pursuant to the Agreement and this DPA. The Personal Data transferred may be subject to the following basic processing activities, as may be further set forth in the Agreement:    Categories of data subjects whose personal data is transferred / processed Customer employees Categories of personal data transferred; Types of Personal Data to be Processed List of staff in the corporate directory per the access provided by customer (names, position, company email addresses)  Meta data about staff activity including data and source code movement, SaaS and application usage data. Sensitive data transferred (if applicable) and applied restrictions or safeguards that fully take into consideration the nature of the data and the risks involved, such as for instance strict purpose limitation, access restrictions (including access only for staff having followed specialised training), keeping a record of access to the data, restrictions for onward transfers or additional security measures.   Continuous via backend API The frequency of the transfer (e.g. whether the data is transferred on a one-off or continuous basis). Until the service is provided to Customer The period for which the personal data will be retained, or, if that is not possible, the criteria used to determine that period Until the service is provided to Customer   For transfers to (sub-) processors, also specify subject matter, nature and duration of the processing Google Cloud Platform where the Company service is hosted. All data resides in the United States C. COMPETENT SUPERVISORY AUTHORITY Identify the competent supervisory authority/ies in accordance with Clause 13 of the Module 2 SCC Supervisory Authority of the Member State where Customer is established, or as otherwise determined in accordance with Clause 13, being the Data Protection Commissioner of Ireland.    ANNEX II – TECHNICAL AND ORGANISATIONAL MEASURES Description of the technical and organisational measures implemented by the Contracted Processors (including any relevant certifications) to ensure an appropriate level of security, taking into account the nature, scope, context and purpose of the processing, and the risks for the rights and freedoms of natural persons. The data importer maintains administrative, physical and technical safeguards for protection of the security, confidentiality and integrity of Personal Data adhering to industry best practices including atleast:   Information Security Policy. Comprehensive, written information security policy applicable to all employees with access to Customer information. Security Awareness and Training. For all employees which includes training on how to implement and comply with its information security program and promoting a culture of security awareness through annual security refresher training. Access Control. Limit access to Customer information to authorized personnel with a need-to-know. Prevent those workforce members and others who should not have access to such information systems or the Services from obtaining access. Prevent and detect any unauthorized or unlawful access. Secure methods of assigning and securing access credentials. Promptly remove access on a timely basis in case of change of role. Encryption. Utilize industry standard encryption technologies with respect to Customer information. Customer information shall be encrypted at rest and in-transit. Password Management. Password management policy that ensures strong passwords consistent with industry standard practices. Security Certifications and Audits. Up-to-date industry standard certifications such as SOC2 Type II and make the reports available upon Customer request. Change Management. Appropriate policies and procedures for managing changes to production systems adjusting as appropriate to changing threats, business needs and technology. Incident Response Plan. That includes appropriate procedures to be followed in the event of a security breach or a suspected security incident. Backup and Disaster Recovery Plan. Industry standard encrypted backup and secure restoration mechanism with regular testing to ensure Customer information can be recovered. Maintain appropriate disaster recovery and business continuity plans consistent with industry best practices.     EXHIBIT 2  UK Addendum to the SCCs This Addendum has been issued by the Information Commissioner for Parties making Restricted Transfers. The Information Commissioner considers that it provides Appropriate Safeguards for Restricted Transfers when it is entered into as a legally binding contract. Part 1: Tables Table 1: Parties   Start date The date of the Agreement. The Parties Exporter (who sends the Restricted Transfer) Importer (who receives the Restricted Transfer) Parties’ details Please see the signature block of this DPA for the details of the Parties. The appropriate point of contact for the Exporter is set forth in the signature block of the DPA. The appropriate point of contact for the Importer is set forth in the signature block of the DPA. Key Contact   Table 2: Selected SCCs, Modules and Selected Clauses   Addendum EU SCCs This Addendum is appended to the version of the Approved EU SCCs as set out in Exhibit 1 of this Agreement, detailed below, including the Appendix Information: Module Module in operation Clause 7 (Docking Clause) Clause 11 (Option) Clause 9a (Prior Authorisation or General Authorisation) Clause 9a (Time Period Is personal data received from the Importer combined with personal data collected by the Exporter? 2 Where appropriate/required  for the transfer Yes No General Authorisation 30 days     Table 3: Appendix Information   “Appendix Information” means the information as set out in the Annexes of Exhibit 1 to this Agreement.   Annex 1A: List of Parties: Please see the signature block of this DPA / Annex I.A of Exhibit 1. Annex 1B: Description of Transfer: Please see the information as set out in Annex I.B. of Exhibit 1 to this DPA. Annex II: Technical and organisational measures including technical and organisational measures to ensure the security of the data: Please see the information as set out in Annex II of Exhibit 1 to this DPA. Annex III: List of Sub processors (Modules 2 and 3 only): Please see full list of Sub-processors set out here / maintained on the following website: Google Cloud Platform   Table 4: Ending this Addendum when Approved Addendum Changes   Ending this Addendum when the Approved Addendum changes Which Parties may end this Addendum as set out in Section ‎19: ☐ Importer ☐ Exporter ☒ neither Party   Part 2: Mandatory Clauses Entering into this Addendum Each Party agrees to be bound by the terms and conditions set out in this Addendum, in exchange for the other Party also agreeing to be bound by this Addendum. Although Annex IA and Clause 7 of the Approved EU SCCs require signature by the Parties, for the purpose of making Restricted Transfers, the Parties may enter into this Addendum in any way that makes it legally binding on the Parties and allows data subjects to enforce their rights as set out in this Addendum (including by executing this agreement). Entering into this Addendum will have the same effect as signing the Approved EU SCCs and any part of the Approved EU SCCs. Interpretation of this Addendum  1. Where this Addendum uses terms that are defined in the Approved EU SCCs those terms shall have the same meaning as in the Approved EU SCCs. In addition, the following terms have the following meanings:   Addendum This International Data Transfer Addendum which is made up of this Addendum incorporating the Addendum EU SCCs. Addendum EU SCCs The version(s) of the Approved EU SCCs which this Addendum is appended to, as set out in Table 2, including the Appendix Information. Appendix Information As set out in Table ‎3. Appropriate Safeguards The standard of protection over the personal data and of data subjects’ rights, which is required by UK Data Protection Laws when you are making a Restricted Transfer relying on standard data protection clauses under Article 46(2)(d) UK GDPR. Approved Addendum The template Addendum issued by the ICO and laid before Parliament in accordance with s119A of the Data Protection Act 2018 on 2 February 2022, as it is revised under Section ‎18. Approved EU SCCs The Standard Contractual Clauses set out in the Annex of Commission Implementing Decision (EU) 2021/914 of 4 June 2021, and as incorporated into this Agreement under Exhibit 1. ICO The Information Commissioner of the United Kingdom Restricted Transfer A transfer which is covered by Chapter V of the UK GDPR. UK The United Kingdom of Great Britain and Northern Ireland. UK Data Protection Laws All laws relating to data protection, the processing of personal data, privacy and/or electronic communications in force from time to time in the UK, including the UK GDPR and the Data Protection Act 2018. UK GDPR As defined in section 3 of the Data Protection Act 2018.   2. This Addendum must always be interpreted in a manner that is consistent with UK Data Protection Laws and so that it fulfils the Parties’ obligation to provide the Appropriate Safeguards.  3. If the provisions included in the Addendum EU SCCs amend the Approved SCCs in any way which is not permitted under the Approved EU SCCs or the Approved Addendum, such amendment(s) will not be incorporated in this Addendum and the equivalent provision of the Approved EU SCCs will take their place. 4. If there is any inconsistency or conflict between UK Data Protection Laws and this Addendum, UK Data Protection Laws applies. 5. If the meaning of this Addendum is unclear or there is more than one meaning, the meaning which most closely aligns with UK Data Protection Laws applies.  6. Any references to legislation (or specific provisions of legislation) means that legislation (or specific provision) as it may change over time. This includes where that legislation (or specific provision) has been consolidated, re-enacted and/or replaced after this Addendum has been entered into.  7. If the meaning of this Addendum is unclear or there is more than one meaning, the meaning which most closely aligns with UK Data Protection Laws applies.  8. Any references to legislation (or specific provisions of legislation) means that legislation (or specific provision) as it may change over time. This includes where that legislation (or specific provision) has been consolidated, re-enacted and/or replaced after this Addendum has been entered into.  Hierarchy 9. Although Clause 5 of the Approved EU SCCs sets out that the Approved EU SCCs prevail over all related agreements between the Parties, the Parties agree that, for Restricted Transfers, the hierarchy in Section ‎10 will prevail. 10. Where there is any inconsistency or conflict between the Approved Addendum and the Addendum EU SCCs (as applicable), the Approved Addendum overrides the Addendum EU SCCs, except where (and in so far as) the inconsistent or conflicting terms of the Addendum EU SCCs provides greater protection for data subjects, in which case those terms will override the Approved Addendum. 11. Where this Addendum incorporates Addendum EU SCCs which have been entered into to protect transfers subject to the General Data Protection Regulation (EU) 2016/679 then the Parties acknowledge that nothing in this Addendum impacts those Addendum EU SCCs. Incorporation of and changes to the EU SCCs 12. This Addendum incorporates the Addendum EU SCCs which are amended to the extent necessary so that: a) together they operate for data transfers made by the data exporter to the data importer, to the extent that UK Data Protection Laws apply to the data exporter’s processing when making that data transfer, and they provide Appropriate Safeguards for those data transfers;  b) Sections ‎9 to ‎11 override Clause 5 (Hierarchy) of the Addendum EU SCCs; and c) this Addendum (including the Addendum EU SCCs incorporated into it) is (1) governed by the laws of England and Wales and (2) any dispute arising from it is resolved by the courts of England and Wales, in each case unless the laws and/or courts of Scotland or Northern Ireland have been expressly selected by the Parties. 13. Unless the Parties have agreed alternative amendments which meet the requirements of Section ‎12, the provisions of Section ‎15 will apply. 14. No amendments to the Approved EU SCCs other than to meet the requirements of Section ‎12 may be made. 15. The following amendments to the Addendum EU SCCs (for the purpose of Section ‎12) are made:  a) References to the “Clauses” means this Addendum, incorporating the Addendum EU SCCs; b) In Clause 2, delete the words: “and, with respect to data transfers from controllers to processors and/or processors to processors, standard contractual clauses pursuant to Article 28(7) of Regulation (EU) 2016/679”; c)Clause 6 (Description of the transfer(s)) is replaced with: “The details of the transfers(s) and in particular the categories of personal data that are transferred and the purpose(s) for which they are transferred) are those specified in Annex I.B where UK Data Protection Laws apply to the data exporter’s processing when making that transfer.”; d) Clause 8.7(i) of Module 1 is replaced with: “it is to a country benefitting from adequacy regulations pursuant to Section 17A of the UK GDPR that covers the onward transfer”; e) Clause 8.8(i) of Modules 2 and 3 is replaced with: “the onward transfer is to a country benefitting from adequacy regulations pursuant to Section 17A of the UK GDPR that covers the onward transfer;” f) References to “Regulation (EU) 2016/679”, “Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data (General Data Protection Regulation)” and “that Regulation” are all replaced by “UK Data Protection Laws”. References to specific Article(s) of “Regulation (EU) 2016/679” are replaced with the equivalent Article or Section of UK Data Protection Laws; g) References to Regulation (EU) 2018/1725 are removed; h) References to the “European Union”, “Union”, “EU”, “EU Member State”, “Member State” and “EU or Member State” are all replaced with the “UK”; i) The reference to “Clause 12(c)(i)” at Clause 10(b)(i) of Module one, is replaced with “Clause 11(c)(i)”; j) Clause 13(a) and Part C of Annex I are not used;  k) The “competent supervisory authority” and “supervisory authority” are both replaced with the “Information Commissioner”; l) In Clause 16(e), subsection (i) is replaced with: “the Secretary of State makes regulations pursuant to Section 17A of the Data Protection Act 2018 that cover the transfer of personal data to which these clauses apply;”; m) Clause 17 is replaced with: “These Clauses are governed by the laws of England and Wales.”; n) Clause 18 is replaced with: “Any dispute arising from these Clauses shall be resolved by the courts of England and Wales. A data subject may also bring legal proceedings against the data exporter and/or data importer before the courts of any country in the UK. The Parties agree to submit themselves to the jurisdiction of such courts.”; and 0) The footnotes to the Approved EU SCCs do not form part of the Addendum, except for footnotes 8, 9, 10 and 11.  Amendments to this Addendum 16. The Parties may agree to change Clauses 17 and/or 18 of the Addendum EU SCCs to refer to the laws and/or courts of Scotland or Northern Ireland. 17. If the Parties wish to change the format of the information included in Part 1: Tables of the Approved Addendum, they may do so by agreeing to the change in writing, provided that the change does not reduce the Appropriate Safeguards. 18. From time to time, the ICO may issue a revised Approved Addendum which:  a) makes reasonable and proportionate changes to the Approved Addendum, including correcting errors in the Approved Addendum; and/or b) reflects changes to UK Data Protection Laws; 19. The revised Approved Addendum will specify the start date from which the changes to the Approved Addendum are effective and whether the Parties need to review this Addendum including the Appendix Information. This Addendum is automatically amended as set out in the revised Approved Addendum from the start date specified. If the ICO issues a revised Approved Addendum under Section ‎18, if any Party selected in Table 4 “Ending the Addendum when the Approved Addendum changes”, will as a direct result of the changes in the Approved Addendum have a substantial, disproportionate and demonstrable increase in:  a) its direct costs of performing its obligations under the Addendum; and/or  b) its risk under the Addendum,  and in either case it has first taken reasonable steps to reduce those costs or risks so that it is not substantial and disproportionate, then that Party may end this Addendum at the end of a reasonable notice period, by providing written notice for that period to the other Party before the start date of the revised Approved Addendum. 20. The Parties do not need the consent of any third party to make changes to this Addendum, but any changes must be made in accordance with its terms.     Exhibit 3 – Standard Contractual Clauses for the Transfer of Personal Data From the Swiss Confederation To Third Countries (Controller To Processor Transfers)   1. If Personal Data falls within the scope of Swiss Data Protection Law and is transferred to a third country that does not ensure an adequate level of data protection under Swiss Data Protection Law , the Standard Contractual Clauses at Exhibit 1 will apply. In order for these Standard Contractual Clauses to comply with Swiss law and thus be suitable for ensuring an adequate level of protection for data transfers from Switzerland to a third country in accordance with the Swiss Federal Act on Data Protection (“CH-DPA”), these Clauses shall be amended with the following prevailing provisions:    a)The Parties adopt the standard of the Regulation (EU) 2016/679 for all Restricted Swiss Data Transfers . b) Competent supervisory authority (Clause 13): To the extent the transfer of personal data is governed by the CH-DPA, the Swiss Federal Data Protection and Information Commissioner shall act as the competent supervisory authority. To the extent the transfer of personal data is governed by the Regulation (EU) 2016/679, the Irish Data Protection Commission shall act as the competent supervisory authority. c) Governing law (Clause 17): These Clauses shall be governed by the laws of Ireland as determined in Clause 17 of the Standard Contractual Clauses at Exhibit 1. d) Choice of forum and jurisdiction (Clause 18.a/b): Any dispute arising from these Clauses shall be resolved by the courts of Ireland as determined in Clause 18.b of the Standard Contractual Clauses at Exhibit 1. e) Data subject jurisdiction (Clause 18.c): The term “Member State” shall not be interpreted in such a way as to exclude data subjects in Switzerland from the possibility of pursuing their rights at their place of habitual residence (Switzerland) in accordance with Clause 18.c of the Standard Contractual Clauses at Exhibit 1. Accordingly, data subjects with their place of habitual residence in Switzerland may also bring legal proceedings before the competent courts in Switzerland. f) Scope of “personal data” (Clause 1.a/c): In addition to personal data pertaining to natural persons, these Clauses shall be applicable to and protect personal data pertaining to legal entities as well, if and to the extent such personal data pertaining to legal entities is within the scope of the CH-DPA.   EXHIBIT 4 Details of Processing Subject to CCPA Purpose of the processing CPRA Mandatory Disclosure:  The specific business purposes are (select): ☐ Auditing:  Auditing related to counting ad impressions to unique visitors, verifying positioning and quality of ad impressions, and auditing compliance with this specification and other standards. ☐  Security & Integrity:  Helping to ensure security and integrity to the extent the use of the consumer’s personal information is reasonably necessary and proportionate for these purposes. ☐  Repair Functionality:  Debugging to identify and repair errors that impair existing intended functionality. ☐  Short-term, transient use:  Short-term, transient use, including, but not limited to, nonpersonalized advertising shown as part of a consumer’s current interaction with the business, provided that the consumer’s personal information is not disclosed to another third party and is not used to build a profile about the consumer or otherwise alter the consumer’s experience outside the current interaction with the business. ☐  Performing services on behalf of Client:  Performing services on behalf of the business, including maintaining or servicing accounts, providing customer service, processing or fulfilling orders and transactions, verifying customer information, processing payments, providing financing, providing analytic services, providing storage, or providing similar services on behalf of the business.  The specific services are:  Cybersecurity people risk assessment. ☐  Advertising & Marketing:  Providing advertising and marketing services, except for cross-context behavioral advertising, to the consumer provided that, for the purpose of advertising and marketing, a service provider or contractor shall not combine the personal information of opted-out consumers that the service provider or contractor receives from, or on behalf of, the business with personal information that the service provider or contractor receives from, or on behalf of, another person or persons or collects from its own interaction with consumers. ☐  Internal Research:  Undertaking internal research for technological development and demonstration. ☐  Quality & Safety:  Undertaking activities to verify or maintain the quality or safety of a service or device that is owned, manufactured, manufactured for, or controlled by the business, and to improve, upgrade, or enhance the service or device that is owned, manufactured, manufactured for, or controlled by the business. --- ## Blogs & News URL: https://www.anzenna.ai/blog/ Type: page Modified: 2025-07-23 August 20, 2022 Announcing Our HIBP Integration Explore the revolution in quantum computing, its applications, and its potential impact on various industries. Ganesh Krishnan August 20, 2022 View Blog --- ## Why Agentless Security Just Makes Sense for Insider Risk URL: https://www.anzenna.ai/why-agentless-security-just-makes-sense-for-insider-risk/ Type: post Modified: 2025-07-23 In security, seeing what’s happening is everything. But getting that visibility? It’s usually a pain. You install clunky software on every laptop, slow down performance, raise privacy concerns, and waste hours managing it all. That might be fine for some threats, but not for insider risk. The reason? Insider threats already have access. They’re employees, contractors, or partners who look like everyone else. You don’t need more noise or roadblocks. You need clarity without the accompanying chaos. That’s why agentless security is a game-changer for insider risk management. Agentless Isn’t Just Easier. It’s Smarter. Let’s be honest: installing agents on every device was never fun. In today’s world it’s even more complicated. People work from anywhere, they sometimes use their own laptops, and they rely on various cloud tools. Installing agents across the entire attack surface is just not feasible for many organizations. Agentless security flips the script. What is it actually? In the old days, we used to install ‘stuff’ (i.e. agents) on machines. Agentless security works in a different way. It connects directly to systems you already use. These systems can be Google Workspace, or Microsoft 365, or Okta, and others. Then, the agentless security quietly watches, behind the scenes, for risky behavior. Why not continue to use agents? Here are a few reasons: 1. They’re hard to roll out. Installing agents across thousands of devices? That takes forever. And IT teams often push back because of the hassle. 2. They miss a lot. If someone logs in from a personal device or uses a cloud app, traditional agents may not catch it. That’s a big blind spot for insider risk. 3. They increase overhead. Agents can eat up system resources, fiscal resources, and intangibles like the time it takes IT and security teams to install and maintain agents. 4. They hurt trust. People don’t like feeling watched. Agent-based tools can feel creepy—hurting the company culture you’re trying to protect. Why Agentless Works Better for Insider Risk Insider threats don’t act like external threats. They don’t set off alarms. They work quietly, sometimes without even realizing they’re doing something wrong. That’s why agentless tools like Anzenna are so powerful. Here’s what you get: No installs, no slowdowns.You get instant visibility by connecting directly to systems your team already uses. Covers everyone.Your employees or contracts use their private phone instead of the company laptop? No issue, it doesn’t matter. Agentless tools see it all by looking at centralized data, not individual devices. No lag, no drama.There’s absolutely no slowdown in performance. Hence, no need for your employees, contracts or partners to disable anything. Respects privacy.Instead of spying on screens or logging every keystroke, agentless tools focus on patterns and context—what people are doing, not how many clicks they make. What Anzenna Brings to the Table At Anzenna, we didn’t just strip out the agent—we rethought how insider risk should be handled from the ground up. Here’s how we do it: Connect once. Watch everything.We plug into your core systems — like Google, Microsoft, Okta, GitHub — and start working immediately. No installs, no performance issues. Smart behavior tracking.Our AI watches for unusual behavior. Is someone suddenly downloading a ton of files? Is access behavior changing before someone resigns? We pick up on those signals fast. Real action, not just alerts.We don’t just throw alerts at your team. We help guide the response — whether it’s a coaching moment, access restriction, or something more serious. Built to scale.Are you a 50-person startup? And what about an enterprise with 50,000 employees? It doesn’t matter. Anzenna works the same, you won’t need to put in any extra effort. The Bottom Line Agent-based security feels like yesterday’s solution. It’s slow, invasive, and clunky. Agentless is the opposite—simple, smart, and invisible. And with insider risk rising fast, you need a solution that actually works without getting in the way. Security should be everywhere, all the time—not just on the “right” devices. Want to see how Anzenna can help you manage insider risk without the mess? Let’s talk. Schedule a demo today.  --- ## Movate and Anzenna Forge Strategic Partnership to Redefine Insider Risk Governance in the AI Era URL: https://www.anzenna.ai/movate-and-anzenna-forge-strategic-partnership-to-redefine-insider-risk-governance-in-the-ai-era/ Type: post Modified: 2025-07-23 Movate, a global leader in digital technology and IT services, today announced a strategic partnership with Anzenna, a next-generation AI-powered insider risk platform. This alliance marks a significant step forward in addressing what is now emerging as the biggest cybersecurity threat of the AI era, insider risk, where human behavior, compromised credentials, and internal misuse represent the weakest link in enterprise defense. As cyberattacks grow more advanced, insider-driven breaches now make up over 68% of cybersecurity incidents. Addressing this rising threat requires a new governance model. Current tools remain siloed, reactive, and dependent on agent-based setups that slow performance and erode user trust. Anzenna changes this by using data from existing systems along with Generative AI and LLMs to detect and prioritize insider threats with context-aware precision. It enables autonomous or semi-autonomous responses, all without the need for endpoint agents. With this partnership, Movate becomes a certified Managed Security Services Provider (MSSP) for Anzenna, delivering 24/7 detection, response, and insider risk governance as a fully managed service. Enterprises benefit from reduced operational complexity, faster time to value, and a seamless transition from reactive controls to proactive, AI-enabled governance frameworks. “This partnership is a strategic accelerator for our AI-first cybersecurity vision,” said Sunil Mittal, CEO, Movate. “Insider risk has emerged as one of the most business-critical security challenges of the AI era. By integrating Anzenna’s lightweight, agentless platform into our global SOC services, we empower enterprises to neutralize these threats while strengthening governance, agility, and resilience at scale.” The timing is crucial. The industry is facing a shortage of cybersecurity talent, with enterprises struggling to scale risk programs fast enough. Movate brings a unique advantage, with a strong, dedicated cybersecurity practice, supported by thousands of certified professionals across 20+ global delivery centers. “We’re witnessing an inflection point in cybersecurity where enterprises need simplicity, scale, and intelligence, not more tools,” said Ganesh Krishnan, CEO, Anzenna. “Through this partnership, our platform becomes a turnkey service, backed by Movate’s cybersecurity depth and operational rigor. Together, we’re enabling organizations to operationalize trust and take meaningful action in real time, not just gather alerts.” In a recent deployment at a large educational institution, Anzenna’s platform accelerated threat resolution by 40%, eliminated 228 risky applications via automated remediation, and secured a 20% increase in cybersecurity budget justification without expanding headcount. The combination of Anzenna’s AI-native capabilities and Movate’s service delivery muscle offers a rare blueprint for reducing risk without increasing friction – exactly what today’s boardrooms and CISOs are demanding. Together, Movate and Anzenna are delivering a first-of-its-kind Insider Risk Remediation as a Service model tailored to how modern enterprises consume security: integrated, contextual, and outcome-driven. About Movate: Movate is a digital technology and consulting services company committed to disrupting the industry with boundless agility, human-centered innovation, and relentless focus on driving client outcomes. It helps ambitious, growth-oriented companies across industries stay ahead of the curve by leveraging its diverse talent of over 12,000 full-time Movators across 20 global locations and a gig network of thousands of technology experts across 60 countries, speaking over 100 languages. Movate has emerged as one of the most awarded and analyst-accredited companies in its revenue range. To know more, visit: www.movate.com. Follow Movate on LinkedIn, Facebook and Twitter. About Anzenna: Anzenna empowers modern enterprises to see, understand, and stop insider-driven threats before they become headlines. Our agentless, AI-powered Security Copilot turns the telemetry you already collect—from 100+ Security and IT tools—into real-time insight and automated remediation. By eliminating blind spots and the need for legacy IRM, UEBA, and EPM point solutions, Anzenna reduces risk, safeguards crown-jewel IP and frees security teams to focus on innovation and growth while staying audit-ready. To learn more, visit www.www.anzenna.ai. --- ## Goodbye Security Awareness Tools, Hello Anzenna URL: https://www.anzenna.ai/goodbye-security-awareness-tools-hello-anzenna/ Type: post Modified: 2025-07-23 As the world continues to become more interconnected, Cybersecurity threats have become more sophisticated, and the stakes are higher than ever. Security is no longer just an IT issue but a business risk that affects the entire organization. This is why we need to take a more holistic approach, where we focus not only on technology but also on people. Having served as a Chief Information Security Officer (CISO) for over 25 years, I have found the most rewarding experiences in engaging the entire organization to tackle difficult security issues. My approach has been to foster a culture where employees are seen as the strongest link in security, rather than the weakest. By working alongside employees and promoting transparency over secrecy, we achieved remarkable results. Recently, I co-founded Anzenna (meaning “Safe” in Japanese) with the aim of bringing these impactful experiences to every organization. I am thrilled to share my insights and contribute to enhancing security practices. One of the biggest challenges organizations face when it comes to security is people. 82% of breaches are due to humans and despite that, investment in getting employees to embrace security is limited to ineffective annual awareness training and periodic, punitive phishing simulations. Attackers know this and use every available tactic to trick employees into downloading malware or giving away sensitive information. In order to remediate this, we need to move away from the current approach of content-based, centralized security awareness to context-based, employee-driven security awareness. Security teams need to make every employee part of their security program, and Anzenna provides a systematic way to achieve this using three key pillars:   Contextual Engagement: Anzenna understands each employee’s unique security posture, and provides them visibility, remediation and training directly via Slack or Microsoft Teams. By providing contextually relevant, bite-sized training, employees become more vigilant and strengthen the organization’s overall security posture. Employee Empowerment: Anzenna recognizes that a robust cybersecurity strategy requires the collective efforts of all employees. Leveraging its AI and customizable workflow platform, Anzenna empowers employees to actively contribute to the organization’s security efforts, effectively expanding the cybersecurity team to unprecedented levels. Unified Visibility: Anzenna’s comprehensive platform seamlessly integrates with existing SaaS, security, and collaboration tools, providing a centralized hub for all security-related activities. By delivering just-in-time training and high-impact security content, Anzenna drives exceptional employee engagement and awareness, while streamlining security operations. Cybersecurity is no longer a nice to have, but a necessity. Organizations that fail to take security seriously put their business at risk. Anzenna’s cyber awareness platform is a powerful tool that enables organizations to create a culture of security and empower their employees to be the first line of defense against cyber threats. Request Demo Try Now --- ## The Insider Threat No One Talks About: Data Exfiltration URL: https://www.anzenna.ai/the-insider-threat-no-one-talks-about-data-exfiltration/ Type: post Modified: 2025-07-22 What is a “cyber threat”? When asked that question, most people immediately think about outside attackers — some hacker in a hoodie, possibly in Eastern Europe, who tries to break into the organization’s IT systems. But this isn’t the biggest threat. In fact, the biggest threat is already inside your company. It’s someone with access, credentials, and a reason. That’s insider risk. And the most overlooked form of it — yet most damaging — is data exfiltration. Put simply: it’s people walking out with your data. Not All Insiders Are Evil Sometimes it’s malicious. An employee gets upset, decides to “get back” at the company, and leaks sensitive stuff. Or they sell it. Or they upload it to some anonymous site. But in a lot of cases, it’s not revenge, or sabotage. It can be purposeful theft, by people trying to make their next move. For example, a sales rep downloads their lead list before quitting. Or an engineer copies code they’ve worked on so they can start a competing business.  In other cases, it can be completely naive, with no harm in mind. Like a contractor who shares internal docs with their personal email so they can work offline or “after hours.”  They might not think they’re doing anything wrong. But once that data leaves your ecosystem, you’ve lost control. And whether it was intentional or not, your company now has a problem. Why Most Security Tools Can’t See It This is where things get frustrating. You’ve probably got security tools in place already — DLP, endpoint monitoring, access controls, all the usual suspects. But here’s the problem: these tools are built to spot big, obvious red flags. Like someone uploading Social Security numbers to an unknown server. Or a bulk export of financial records. These traditional systems don’t know the difference between a harmless file download and a red flag action. So they either miss it altogether… or they throw alerts for every little thing. And because most of these tools rely on agents — software that needs to be installed on every laptop, desktop, and phone — they’re tough to manage. They don’t work well with remote or hybrid setups, personal laptops or phones (BYOD), or modern SaaS apps. Moreover, they cause performance issues, so people disable them. IT spends hours chasing ghosts. And in the end, you’re stuck with blind spots you can’t afford. How Anzenna Does It Differently This is where Anzenna really stands apart. Anzenna doesn’t bother with installing agents. Instead, it connects to the systems that you use – Google Workspace, Microsoft 365, GitHub, Slack, Jira, and many others. All the places where work happens. Then Anzenna watches for signals. Real-world signals in real-time. Not “someone downloaded a file,” but why they did it, when, from where, and what changed before or after. It looks at patterns across user behavior, not just single actions. Let’s say an employee gives notice. Suddenly, they start downloading customer contracts at 10 pm, accessing folders they’ve never touched, and sharing files to their personal account. Anzenna sees all of that — and connects the dots. Even better, it can surface the risk automatically, without drowning your team in noise or false positives. It’s proactive, not reactive. Why This Needs to Be on Your Radar Most companies only realize someone took sensitive data after it’s too late — when a competitor shows up with your pitch deck, or a news headline drops. Data exfiltration isn’t a one-in-a-million threat. It’s a daily risk in every modern workplace. But because it doesn’t always come with flashing lights or clear bad intent, it gets ignored. That has to change. With Anzenna, you can finally see what’s happening under the surface — and stop data theft before it turns into a disaster. Because once the data’s gone… there’s no getting it back. If someone walked out with your most sensitive data tomorrow… would you even know?  Let’s talk! --- ## AI EPM URL: https://www.anzenna.ai/ai-epm/ Type: page Modified: 2025-07-21 www.anzenna.ai EPM Replace your existing Endpoint Privilege Management (EPM) solution with Anzenna’s AI EPM. No Software Agents on every endpoint No employee complaints on slowdowns or productivity problems Deploy and get value in minutes not months You don’t need more people to run the tool since our Agentic AI does Stay Safe & Compliant Enforce Least Privilege Defend against Ransomware & Insider Risk Auto-Eliminate risky AI apps Get complete visibility Save $$$$$ Our customers are saving millions in licensing & operational costs Save on cyber insurance costs How? Anzenna provides Just-In-time application access to employees in a few clicks Anzenna leverages your existing MDM agents to enforce JIT access and privileges Anzenna automatically scores and removes high risk applications using Agentic AI Step-1 : JIT Product Request Step-2 : JIT Admin Approval Step-3 : Employee Approval Notification Step-4 : Monitor and Remove Risky applications installed Want to know more? Put your identity security program on auto-pilot with Anzenna’s comprehensive coverage and automated remediation, without the overhead(ache) of installing a new agent.  Request a Demo --- ## Blazers Event Denver URL: https://www.anzenna.ai/blazers-event-denver/ Type: page Modified: 2025-07-17 August 21, 2025 | 5:00-8:00pm Blazers & Bourbon Join Anzenna and Lightbeam for an Evening of Insightful Discussions, Networking, and a Complimentary Tailored Blazer from Indochino. Join Now Cherry Creek North, 158 N Fillmore St, Denver, CO Thursday, August 21st, 5:00 – 8:00 PM Cherry Creek North, 158 N Fillmore St, Denver, CO Thursday, August 21st, 5:00 – 8:00 PM Cherry Creek North, 158 N Fillmore St, Denver, CO Thursday, August 21st, 5:00 – 8:00 PM Cherry Creek North, 158 N Fillmore St, Denver, CO Thursday, August 21st, 5:00 – 8:00 PM Cherry Creek North, 158 N Fillmore St, Denver, CO Thursday, August 21st, 5:00 – 8:00 PM Cherry Creek North, 158 N Fillmore St, Denver, CO Thursday, August 21st, 5:00 – 8:00 PM Denver Reserve your spot here Join us for an exclusive evening of networking and insightful discussions at the Blazers & Bourbon Executive Mixer, hosted by Anzenna and LightBeam.ai. This unique event, held at Indochino, is designed for cybersecurity leaders looking to explore new insights, share expertise, and in a relaxed, professional setting. All attendees will receive a complimentary personalized blazer from Indochino, ensuring not only an evening of great conversation but also a tailored takeaway to remember the event by. Space is limited, and attendance is reserved for senior-level executives in the cybersecurity industry. Please RSVP to secure your spot.  Why you should attend: Connect with fellow cybersecurity executives and thought leaders in an intimate, inviting environment. Discover innovative approaches to tackling today’s top cybersecurity challenges shared by peers and industry experts.   By clicking “Request an invite”, I consent to the processing of my contact information by Anzenna and any co-hosts of the event, including contacting me. I acknowledge that Anzenna will use and keep my contact information for as long as necessary for these purposes in accordance with its Privacy Notice Request an invite By clicking “Request an invite”, I consent to the processing of my contact information by Anzenna and any co-hosts of the event, including contacting me. I acknowledge that Anzenna will use and keep my contact information for as long as necessary for these purposes in accordance with its Privacy Notice Request an invite About Our Event Host Ganesh Krishnan Co-Founder and CEO Ganesh, Co-Founder and CEO of Anzenna, is a seasoned security practitioner and technology leader with over 25 years of experience. Before founding Anzenna, he was an EIR (Entrepreneur In Residence) at 8VC and VP of Engineering at Sophos, which acquired his startup, Avid Secure. Previously, he served as CISO at Atlassian and LinkedIn, where he also led Privacy Engineering and bootstrapped the LinkedIn India Technology Center. Ganesh was VP of Information Security and CISO at Yahoo! Inc. He holds a Master’s in Computer Science from Purdue University. Himanshu Shukla Co-Founder and CEO Himanshu Shukla serves as the Co-Founder & CEO of LightBeam.ai. LightBeam automates data security and privacy compliance controls for InfoSec and Privacy teams, helping them accelerate their organizations’ businesses in national and international markets. Before establishing LightBeam.ai, Himanshu led Nutanix’s AIOPs team, where he initiated and cultivated the business from inception, achieving remarkable growth to a 100M run-rate. With over two decades of industry experience, he is a dedicated technologist with significant contributions to AI/ML, Search, Networking, and Compiler technology. Himanshu holds more than 20 patents and authored 5 published papers. --- ## Meet us at Black Hat 2025 URL: https://www.anzenna.ai/meet-us-at-black-hat-2025/ Type: page Modified: 2025-07-17 Don’t Risk a Missed Connection at Black Hat Book a Meeting to Talk Security Risks. Get Custom Nike Kicks. Our team will be out in full force at Black Hat USA 2025. Our team will be out in full force at Black Hat USA 2025. Our team will be out in full force at Black Hat USA 2025. Our team will be out in full force at Black Hat USA 2025. Our team will be out in full force at Black Hat USA 2025. Our team will be out in full force at Black Hat USA 2025. Our team will be out in full force at Black Hat USA 2025. Chat with us August 2–7 at Mandalay Bay Convention Center to find out how 
our agentless insider risk platform predicts and prevents insider threats — before they cause a breach. Book a Meeting, Get a FREE Pair of Custom Nikes Schedule 30 minutes to learn about the Anzenna platform, and we’ll give you a voucher to customize your own pair of Nike kicks. See a demo, walk away with your own personalized Nike sneakers. We’re booking fast, so lock it in now. Schedule Now Insider Risk Management, Made Agentless Anzenna integrates advanced insider risk detection, behavioral analytics, and comprehensive remediation into a single, powerful agentless solution. Designed to stop both malicious and accidental insider threats, Anzenna ensures that your enterprise’s security is seamless and expansive without impeding operational efficiency. Our unique approach leverages unified detection, predictive analytics, and data & IP exfiltration to stop insider risk in minutes. No wasted time – just neutralized threats.   Let’s Mingle at Mandalay Bay Want to find out more about our platform and secure your sneakers? Grab your time slot today — we’ll see you in Vegas. Schedule a Meeting + Claim Your Nikes --- ## Navigating Modern Insider Risk: Why Traditional Security Falls Short and What CISOs Can Do URL: https://www.anzenna.ai/navigating-modern-insider-risk-why-traditional-security-falls-short-and-what-cisos-can-do/ Type: post Modified: 2025-07-17 A common thread in breaches at companies like Coinbase, MGM, Tesla, Uber, and Disney? Insiders! The Rising Cost and Impact of Insider Threats Insider security breaches have become a costly and frequent reality for enterprises. Recent studies show that insider-led incidents are increasing in both frequency and financial impact – $400 million for the most recent Coinbase breach. Between 2020 and 2022, the percentage of companies experiencing more than 20 insider incidents per year jumped to 67% (from 53% in 2018). The annual average cost of these incidents has surged accordingly – from an estimated $8.3 million in 2018 to $16.2 million in 2023. By 2025, this figure climbed even higher, reaching $17.4 million per year on average. These numbers underscore that insider threats are not slowing down but actually increasing and broadening in scope with AI and are straining security budgets and resources worldwide. For context, one global report found the total annual average cost of an insider threat incident sits at $15.4 million, with negligent insiders accounting for the largest share of that expense. However, not all insider threats are malicious spies or disgruntled employees. In fact, the majority are due to simple mistakes and carelessness. Over half (56%) of insider incidents stem from employee or contractor negligence, far outpacing those caused by malicious insiders (26%) or stolen credentials (18%). In other words, well-meaning staff who inadvertently violate security policy or mishandle data are often the weakest link. Everyday errors like misaddressed emails, improper document sharing, or failing to secure sensitive files can lead to serious data leaks. From the 2024/25 example of a Disney employee inadvertently installing a fake AI app that stole 1.1 TB of data to the 2022 Pegasus Airline exposure of 23 million files, ~6.5TB of data when a system administrator accidentally misconfigured a cloud storage bucket, leaving flight charts, crew PII, and even source code publicly accessible, it all points to insiders. Thankfully discovered by researchers before attackers could exploit it, the Pegasus Airline incident still violated data protection laws and highlighted how a single configuration mistake can put thousands at risk. The global scope of such cases – from a Turkish airline’s cloud leak to an employee in London emailing the wrong client list – shows that no region or industry is immune to insider mishaps. The business impact of these threats goes beyond IT damage; it hits the organization’s reputation and bottom line. Simple mistakes like sending sensitive information to the wrong recipient are alarmingly common – 17% of employees admit to doing so. Such errors have tangible consequences: roughly 29% of companies report losing customers due to an employee’s email mistake or data leak. Over 60% of security issues involve a human element in some way, whether it’s a careless mistake or deliberate wrongdoing, and nearly half of all breaches originate from inside the organization. These statistics drive home a clear message for CISOs and security leaders: insider risk is a pervasive, expensive problem, and it’s often the inadvertent missteps – not just the headline-grabbing malicious betrayals – that cause the most headaches. Why Traditional Tools Fall Short for Insider Risk Traditional security tools have long been the go-to for protecting data, but they were never built with insider behavior in mind. Data Loss Prevention (DLP) systems, Security Information and Event Management (SIEM) platforms, and Cloud Access Security Brokers (CASBs) each play important roles in a cybersecurity program – yet when it comes to insider threats, they leave critical gaps unaddressed. These legacy solutions excel at enforcing policies or aggregating technical events, but they lack the human context and continuous behavioral analysis needed to catch subtle signs of insider risk. Below, we examine why these tools often prove insufficient against today’s insider threat challenges: DLP – Protects Data, But Misses Intent: DLP solutions monitor and block sensitive data exfiltration based on content triggers (keywords, patterns, file types). They are like locks on the doors – effective at stopping clearly unauthorized transfers – but blind to intent and authorized misuse. If an employee with legitimate access decides to steal or mishandle data, traditional DLP might not raise any alarm because no policy was technically violated. DLP focuses on what data is moving, not why. It can’t tell if a normally trustworthy support employee is downloading an unusually large number of confidential files or slowly siphoning information over time. In short, DLP “focuses on data, not the behavior or intentions behind a user’s actions”, and thus an insider with valid credentials can abuse access without DLP recognizing the threat. The tool might flag a file being emailed out, but it won’t discern whether that was a careless mistake or a malicious exfiltration – and that context makes all the difference. In addition, DLP does not cover all elements of insider risk. E.g. Disney was hacked because an employee inadvertently downloaded a fake AI app which stole vast amounts of data. A DLP will not catch this type of insider threat.   SIEM – Lots of Logs, Little Insight: SIEM platforms aggregate logs from across the network (VPN, servers, firewalls, etc.) to detect suspicious events, often using correlation rules. They are invaluable for spotting known attack patterns and compliance reporting. However, SIEMs are fundamentally event-driven and reactive – they alert after something bad has already happened. A SIEM will dutifully log an unusual login or a large database query, but it typically lacks user-behavior baselining to connect the dots across multiple subtle actions. Security teams end up wading through a “massive haystack” of alerts and log data, trying to find the needle that signals an insider incident. By the time a pattern is clear (for example, that Bob from finance has been accessing files he never touched before and emailing them out), the damage may be done. SIEMs also suffer from alert fatigue – they generate so many alerts that real insider warning signs get buried in noise. They catch discrete anomalies (a single forbidden access), but cannot easily track slow-burn behavioral deviations that unfold over weeks or months. In sum, SIEM provides a fragmented, after-the-fact view of insider activity, when what’s needed is continuous monitoring that could predict and prevent risky behavior. SIEMs also require the customer to aggregate all the required data, pay by data volume and build custom queries looking for all the badness. This significantly increases the cost and resourcing needs. Despite that, SIEMs do not catch advanced exfiltration such as an employee moving company source code to their personal accounts/devices without false positives.   CASB – Cloud Control with Blind Spots: CASBs are either agent based or require traffic to be proxied through them and are aimed at tackling the explosion of SaaS usage and shadow IT, acting as a gateway to monitor and enforce cloud application policies. They shine at identifying unsanctioned app use and enforcing data policies in the cloud (e.g. blocking an upload of a customer list to personal Google Drive). This is useful for compliance – ensuring, for instance, that data in cloud apps is not shared publicly or that sensitive info is encrypted. However, CASBs are inherently focused on cloud traffic; they may miss risky activities happening elsewhere, such as on endpoints or via off-network channels. If an employee bypasses corporate cloud platforms entirely – say by using a personal email or an unauthorized device – a CASB might not see it. Additionally, while CASBs can flag anomalies within cloud usage (like an abnormal number of file downloads), they don’t correlate that with the user’s broader behavior outside the cloud. In today’s decentralized environments, data moves fluidly between cloud apps, local devices, and external collaborators. A tool limited to cloud boundaries can still leave visibility gaps where insiders might slip through.   Insider Risk is not just a traffic or data problem but also a behavior problem which is left unaddressed. Ultimately, these traditional tools each operate in silos (one watching data egress, another watching network events, another EDR alerts, another cloud apps ..) and they “focus on event logs, and data protection without understanding the user behavioral context or joint insights across these silo’ed tools”. They were not designed to piece together the nuanced mosaic of human behavior across an organization. As one CISO we interviewed aptly put it, adding more point tools doesn’t automatically improve security because “these tools can only report on what they can see – they don’t know what they’re missing”. This limitation results in an “illusion of visibility”: security teams feel they have many bases covered, yet the subtle precursors of an insider incident (like a disgruntled employee’s changing file access habits) go unnoticed. For instance if an employee has access to sensitive data and has had their machine infected with malware “n” times in a given period of time is missed. If security teams know that information, they can automatically de-provision access as it is likely that the attacker is trying to compromise the employee to get access to sensitive data. Modern insider risk management requires moving beyond this patchwork of point solutions and looking at user behavior holistically, finding those toxic combinations that can really cause serious breaches. The Behavioral Red Flags Conventional Security Misses What exactly are those subtle insider signals that tend to slip through the cracks of legacy security tools? In practice, dangerous insider activity often manifests as small deviations in normal behavior rather than blatant rule violations. Conventional tools that lack user behavior analytics will miss many of these warning signs. Here are some common behavioral indicators and context clues that can precede insider incidents but are typically overlooked by traditional monitoring: Unusual Access Patterns: Employees usually develop predictable routines in the data they access and the systems they use. A classic red flag is when a user suddenly accesses data outside their typical purview or at odd hours. For instance, an engineer who normally works on Product A begins downloading large volumes of data from Project X (which they never touched before), or an employee signs in remotely at 3 AM and proceeds to query confidential databases. A SIEM might not flag off-hour logins if they use valid credentials, and a DLP system won’t object if the data isn’t explicitly classified as sensitive. But such behavioral deviation – accessing new, sensitive resources beyond one’s role, especially on a strange schedule – could indicate insider reconnaissance or data theft in progress. Modern insider risk tools look for these anomalies against a user’s baseline, whereas traditional tools treat each access in isolation. Data Hoarding or Drip Exfiltration: Rather than a single large data dump (which DLP might catch), insiders with ill intent often exfiltrate data in smaller pieces or simply collect far more information than usual over time. For example, an employee might start downloading unusually large quantities of files from SharePoint over several weeks, or incrementally forwarding emails with attachments to their personal account. Each individual action might appear authorized (and thus not trigger DLP), but the trend is highly irregular for that person. Conventional security solutions aren’t aggregating activity over time to notice that user X transferred 5× their normal data volume this month. Behavioral monitoring would flag a “volume anomaly” or sudden spike in data access that warrants a closer look, distinguishing a potential insider threat from routine work.   Circumvention of Controls: Negligent insiders sometimes bypass security controls in small ways that accumulate risk. For example, an employee might repeatedly use unapproved apps or personal USB drives because it’s convenient, even if policies forbid it. A CASB might catch some unauthorized cloud apps, but users often find ways around corporate monitoring (using unsanctioned devices, encrypted messaging apps, etc.). Similarly, someone might try to disable or pause endpoint monitoring agents or cover their tracks in log files. One single instance might be chalked up to a glitch, but patterns of policy bending – like frequent attempts to send files via forbidden channels or consistent use of workarounds – are signals of an insider who is either unaware of policy or intentionally ignoring it. Traditional tools in isolation might block each attempt without connecting the dots that a particular user is persistently trying to go around security, which is itself risky behavior.   Emotional or HR Indicators Coupled with IT Activity: Often, the precursors to an insider incident are not purely digital. Human factors such as job dissatisfaction, policy grievances, or sudden changes in demeanor can foreshadow malicious intent. For instance, a salesperson who just got word of a layoff might begin downloading the customer database. Security tools focused only on IT events won’t catch the context of why that person’s behavior changed. While it’s a delicate area, modern insider risk programs sometimes incorporate inputs from HR (departing employee lists, performance issues) and even communication monitoring (public Slack or email sentiment) to gauge insider risk. Conventional DLP or SIEM have no window into these softer signals. The challenge for CISOs is correlating behavioral signals across domains – digital activity + human context – to detect when a normally good employee might turn risky. An insider risk platform that integrates HR data, file activity, and access logs can alert on a high-risk combination (e.g. a soon-to-depart engineer accessing large amounts of source code). Traditional tools operating in silos would miss the significance of that combination.  In summary, the kinds of deviations and warning signs that precede insider breaches include changes in access patterns, anomalous data usage, repeated policy workarounds, and contextual red flags (like someone preparing to leave the company). These are often subtle when viewed through any single-tool lens. It takes a solution that monitors behavior over time and across systems to see the bigger picture. As one insider risk study noted, “in many cases, the only signals of an impending insider attack are commonly exhibited human behaviors that foreshadow the attacker’s intent.” By focusing on behavior over events, modern insider risk management can surface these red flags early – something a traditional DLP or SIEM alone simply isn’t tuned to do.  Beyond Compliance: Decentralized Identity, SaaS Sprawl, and BYOD Challenges Another reason insider risks are harder to manage today is that the IT environment itself has transformed. Many security programs remain heavily compliance-driven – ensuring checkboxes are ticked for regulations and standard controls – but compliance doesn’t equal security, especially in today’s decentralized, cloud-first workplaces. Organizations now grapple with decentralized identities, an explosion of SaaS applications, and bring-your-own-device practices, all of which stretch the limits of traditional security controls and policies: Decentralized Identity: Gone are the days of a single corporate Active Directory controlling all user access. Today, employees, contractors, and partners may each have multiple identities across various cloud services (Office 365, Google Workspace, DevOps platforms, etc.). Federated identity and single sign-on help, but gaps remain – users sometimes share data via personal accounts or external collaboration links that bypass corporate SSO. This decentralization means security teams lack a unified view of who is accessing what. A user could use an approved identity for some systems and a personal Gmail for others, making it tough for compliance checks to enforce policies consistently. An insider risk arises when, say, a developer syncs code to a personal GitHub account – their intentions might be innocent (e.g. working from home), but the identity used is outside the monitored zone, so traditional controls might not log or prevent that action. Compliance rules assume identities and access are centrally managed; the reality is far messier, requiring solutions that can link activity to the human behind various accounts. Modern insider risk tools often tap into identity and access logs across cloud and on-prem systems to piece together a user’s actions, whereas a legacy compliance control might only audit the “official” accounts and miss side doors. SaaS Sprawl and Shadow IT: The average enterprise now uses dozens, if not hundreds, of different SaaS applications. Business units can sign up for new cloud services with a credit card, often without IT’s knowledge. This SaaS sprawl creates compliance nightmares – data can reside in many third-party clouds, and users often grant OAuth permissions or share data across apps in ways that evade corporate oversight. If your compliance program says “we use XYZ approved cloud storage with DLP,” what about the engineer who decided to back up files on Dropbox, or the marketing team using a new analytics SaaS that hasn’t been vetted? According to one survey, 71% of security leaders are concerned about sensitive data being stored outside of corporate systems where their security team has no visibility. This lack of visibility means an employee could be leaking data via an unmonitored SaaS channel and the company’s traditional tools (and audits) wouldn’t even know. Insider risk management solutions address this by integrating with APIs and logs from a wide array of SaaS apps to detect unusual data sharing or downloads, even in cloud services that might not be fully under IT control. Pure compliance-driven controls, on the other hand, often focus on known systems – leaving a large blind spot in the form of shadow IT and third-party cloud services. BYOD and Remote Work: The rise of bring-your-own-device and remote work arrangements further complicates insider risk management. When users work from personal laptops or mobile devices, many of the company’s standard endpoint controls can be rendered moot. An organization might have a policy that “all devices must have DLP agent X installed”, but enforcing that on an employee-owned phone or home PC is challenging (and sometimes not possible due to privacy regulations). Compliance frameworks might mandate data encryption and device management, but with BYOD, IT loses a degree of control over the hardware. This can lead to scenarios like an employee saving a sensitive report on their unencrypted personal tablet, or using a personal email app that isn’t monitored. Traditional network-based monitoring also fails with remote work: an employee working from a coffee shop on a personal device won’t be behind the corporate firewall, so their actions might fly under the radar. In this decentralized work model, insider risks can manifest as data being downloaded to uncontrolled endpoints or uploaded from unmonitored networks. An insider risk solution must adapt by using cloud-delivered monitoring or agentless approaches to cover activity off the corporate network (for example, analyzing cloud audit logs to see if a user downloaded data to an unknown device). Compliance controls alone struggle here – you can have a policy requiring secure use of data, but without technical visibility on BYOD endpoints, you’re relying on trust. Modern solutions like agentless IRM platforms aim to fill this gap by observing risky behavior through the cloud and identity layer rather than solely on devices.   In essence, the modern workplace has outgrown many traditional, compliance-based security assumptions. Identities are dispersed, data lives in countless SaaS platforms, and users frequently work off-network on personal devices. This means that a checklist approach – e.g., “we have DLP on our email and an acceptable use policy, so we’re covered” – is no longer sufficient. Insider threats thrive in the grey areas not explicitly covered by compliance rules: a misconfigured S3 bucket here, a contractor’s laptop there, an API token shared with a partner, etc. Forward-thinking CISOs are re-evaluating security controls in light of these realities. They recognize that effective insider risk management requires a blend of technical controls and policy, extended across a fragmented IT ecosystem. This includes adopting tools that can watch user behavior across cloud and BYOD environments and updating policies to address data handling in untraditional scenarios (like clear guidelines for employees on using personal apps, and monitoring to enforce those guidelines). Only by bridging the gap between compliance requirements and actual modern workflows can organizations rein in insider risks without stifling productivity.   Communicating Behavioral Risk to Non-Technical Stakeholders Even when an organization has advanced tools to detect insider anomalies, CISOs face a non-technical challenge: translating these behavioral risks into terms that business leaders, auditors, and other stakeholders can easily grasp. Insider risk often lives in a murky middle ground – not a confirmed breach, but a pattern of concerning behavior. Explaining this nuance to those outside the security team requires care and clarity. One major hurdle is the lack of established metrics and language for insider risk. Boards and auditors are used to hearing about threats in terms of compliance requirements (“Are we ISO 27001 certified?”), external attack stats, or financial impact. Telling them “we have a 40% increase in anomalous user access events this quarter” might draw blank stares or, worse, undue alarm. In fact, studies indicate a disconnect in understanding: an overwhelming number of senior cybersecurity leaders believe their company’s Board needs a better understanding of insider risk. This suggests that security executives often struggle to communicate the scope and seriousness of insider threats in a way that resonates. It’s not for lack of trying – rather, insider risk doesn’t fit neatly into the yes/no checkboxes that compliance audits favor. As one report noted, nearly all companies face challenges protecting data from insider risks, but quantifying and presenting the problem to senior management is difficult, leading to misalignment on how to address it. The notion of monitoring employees is scary but its actually for the benefit of the employees and the organization if done in a privacy preserving manner when the company monitors only what it owns. Auditors and compliance officers pose a related challenge. They may ask, “How do we know our controls prevent internal data leaks?” A CISO might have to explain that, beyond written policies and DLP rules, it requires analyzing user behavior and intent – concepts that can sound vague compared to, say, encryption standards. Demonstrating compliance for insider risk often isn’t as straightforward as showing a penetration test report or access control list. It involves storytelling with data: for example, presenting a case where an employee’s risky behavior was detected and mitigated, thereby preventing a potential breach. Auditors also want evidence that insider risks are being addressed systematically. This might entail new metrics like “number of insider incidents detected and resolved,” “average time to contain an insider incident,” or risk scores for user behavior. Many organizations are still developing these metrics. Given that the average time to contain an insider incident is 85 days, one could argue to stakeholders that reducing this dwell time (with better monitoring and response) is a measurable goal for an insider risk program. Framing things in terms of business impact – e.g., “We identified and stopped an insider incident that could have cost us $X in losses” – makes the discussion more concrete for non-technical audiences. There’s also a communication tightrope to walk internally. When addressing insider risk with broader stakeholder teams like HR, legal, and line-of-business managers, CISOs must avoid creating a culture of suspicion. Branding employees as potential “threats” can alienate the workforce and even clash with company values. As one insider risk expert put it, we should “refrain from calling employees insider threats, as the term carries negative connotations”. The goal instead is to foster a “trusted workforce” mindset where employees are partners in safeguarding data. This means framing communications supportively: for example, emphasizing that monitoring tools are in place to protect employees and the company, not to spy, and that most incidents are accidents that can be prevented with awareness. HR and legal stakeholders will appreciate language that underscores privacy and fairness – such as explaining that insider risk programs are designed with privacy by design principles (monitoring only work data, not personal content) and that there are clear processes to investigate alerts in a fair, unbiased manner. This kind of communication builds trust and ensures that insider risk management efforts aren’t misinterpreted as an Orwellian surveillance initiative. For business leaders and the board, CISOs should translate behavioral anomalies into business risk terms. For instance, instead of delving into user analytics algorithms, one might say: “Our insider risk platform flagged a pattern consistent with intellectual property theft, and we intervened before any data left – protecting an estimated $5 million worth of proprietary information.” Linking insider risk to potential financial, legal, or reputational outcomes helps non-technical stakeholders understand why it matters. It’s also effective to share anonymized case studies: e.g., “Department X had an incident where an employee was oversharing client data via personal email. We detected it and provided coaching, avoiding a possible privacy breach.” This not only highlights the risk but shows the solution and outcome in relatable terms. Finally, regular education and reporting on insider risk can keep it on the radar of stakeholders. Many organizations hold quarterly security briefings for executives – CISOs can use these to provide an insider risk dashboard that might include trend lines (e.g. “phishing click rates are down, but incidents of data mishandling are up 10%”) and to discuss any significant insider-related events and lessons learned. By keeping the conversation in business terms – focusing on risk reduction, protection of critical assets, and compliance posture – the CISO can ensure insider risk is seen as a business issue, not just an IT issue. The end result should be that boards and auditors come to view insider risk management as an integral part of the company’s risk governance, worthy of investment and attention. After all, when 96% of companies acknowledge challenges in this area, communicating a clear plan and progress in managing insider risk is itself a sign of a mature, forward-looking security program. Security Stack Fatigue and the Move to Integrated Solutions Enterprise security teams are not only battling malicious insiders, but also a growing fatigue with the overabundance of security tools in their environment. Over the past decade, the industry delivered point solution after point solution – one tool for DLP, another for user behavior analytics, another for CASB, etc. The result for many CISOs has been “security tool sprawl”: dozens of products, each with separate consoles, alerts, agents, and policies. Recent surveys underscore this overload. For example, more than half of organizations (58%) use over 20 different security tools, yet paradoxically only about one-third of CISOs feel they have sufficient visibility and protection. Another study focusing on endpoint management found that 68% of organizations were using more than 11 tools just for endpoint security, contributing to integration headaches and alert fatigue. This sprawl creates real pain points: tools overlap in functionality (leading to wasted costs), important alerts get lost in the noise of countless notifications, and security staff are stretched thin trying to master each product’s interface and quirks. There’s also the challenge of maintaining and updating so many systems – every additional tool is another potential failure point or blind spot if it’s not configured correctly across the environment. The pushback from enterprises has been a trend toward consolidation of the security stack. Vendor fatigue is driving companies to evaluate platforms that can cover multiple bases, reducing the number of separate products in use. As evidence, Gartner analysts have noted a “convergence of DLP with insider risk management solutions,” where newer platforms combine content inspection with user behavior analytics to enrich alerts with context. We see large vendors integrating capabilities (for instance, Microsoft bundling DLP, insider risk management, and compliance tools under a single suite). The appeal is fewer silos and a unified view of risk. Insider risk management (IRM) solutions are part of this consolidation story. A modern IRM platform often can either integrate with or outright replace legacy tools like DLP, user activity monitoring, and even some SIEM use-cases. It serves as a central hub for analyzing user behaviors and data movement in concert. For example, rather than running a standalone DLP that blocks files and a separate UEBA (User and Entity Behavior Analytics) tool to analyze logs, an IRM solution can do both: monitor data exfiltration attempts and understand the user context around those events. This not only streamlines technology but can lead to cost savings. One economic analysis found companies could save around $3.3 million over three years by retiring legacy DLP, user monitoring, and UEBA tools in favor of an integrated insider risk solution. In other words, consolidating multiple niche products into a single insider risk platform isn’t just a technical win – it’s potentially a significant budget win. Case studies have shown organizations achieving millions in tech stack savings and lower administrative overhead by adopting an integrated insider risk approach. Beyond cost, consolidation addresses the earlier issue of “illusion of visibility.” When data and alerts live in separate systems, it’s difficult to connect the dots. An integrated solution can serve as a single source of truth for insider risk by pulling in signals from endpoints, cloud apps, and identity systems, then analyzing them together. This unified approach helps eliminate the coverage gaps that arise when one tool doesn’t know what another tool knows (e.g., the DLP might log a blocked USB copy, but only a separate analytics tool might notice that the same user also turned off their VPN – an integrated platform could correlate those). The CEO of Panaseer summarized it well: having too many tools can leave you with partial information and blind spots, whereas consolidation aims to give comprehensive visibility into security posture. With a more consolidated stack, security teams can also reduce alert fatigue, since a unified platform can de-duplicate alerts and apply smarter risk scoring to highlight what truly matters. It’s worth noting that consolidation doesn’t necessarily mean one monolithic vendor for everything, but rather rationalizing overlapping capabilities. Many organizations are looking at their catalog of security controls and asking: can one solution cover the functionality of these two or three? Insider risk management is a prime candidate for consolidation because it inherently spans multiple domains – it touches data protection (like DLP), user monitoring (like UAM), analytics (like SIEM/UEBA), and even aspects of identity and access management. Instead of treating insider threat as a narrow add-on, it’s being recognized as “the connective tissue” that can tie these domains together. This is reflected in market moves: we see DLP vendors adding behavioral analytics, and conversely, insider threat vendors adding lightweight DLP features, effectively meeting in the middle. Gartner’s observation of DLP and insider threat management convergence is a testament to this trend. For CISOs, another driver toward consolidation is simply operational efficiency and talent retention. Running a leaner security stack means analysts don’t have to swivel-chair between 10 consoles each day. It means fewer vendor relationships to manage and fewer upgrades to break things. Especially in an era of cybersecurity skill shortages, organizations want to empower a smaller team to do more with better integrated tools. A modern insider risk solution that fits into a consolidated strategy will emphasize easy integration (e.g. via APIs, agentless data collection, and cloud-native deployment) so that it can act as a force-multiplier, not another cumbersome silo. Solutions like www.anzenna.ai, for instance, tout an “agentless” deployment model with AI-driven detection and automated workflows – features aimed at reducing friction and tool fatigue for IT teams. By being cloud-based and broad in scope, such a platform can slot into an enterprise’s ecosystem without requiring yet another endpoint agent or complex on-premise setup, making it easier to replace or integrate legacy tools. In summary, security stack consolidation is both a strategic goal and an emerging reality for many enterprises. Insider risk management stands out as an area where consolidation brings clear benefits: a more coherent view of threats, fewer redundant tools to manage, and cost savings to boot. The key for CISOs is to ensure that whatever consolidated solution they adopt can truly cover the needed functionality and scale with their organization. If done right, consolidating around an insider risk platform can simultaneously reduce vendor fatigue and improve the organization’s ability to detect and respond to the very real threat of insiders. It’s a rare win-win in cybersecurity: doing more with less, and doing it better. Key Takeaways and Next Steps for CISOs Insider risk management is no longer optional – it’s a business imperative. Enterprise CISOs and security leaders should approach it with a blend of technology, process, and cross-functional collaboration. Here are some actionable insights and next steps drawn from the discussion above: Embrace Behavior-Centric Security: Shift your focus from just guarding data to understanding how users interact with data. Invest in tools that baseline normal user behavior and flag deviations. For example, if an employee suddenly accesses 10× their usual number of files or uses an unusual method to transfer data, you want to know early. This proactive stance helps catch insider issues before they escalate, moving your team from reactive firefighting to preventive risk mitigation.   Augment (or Replace) Legacy Tools with IRM Solutions: Evaluate your existing DLP, SIEM, UAM, and CASB deployments in light of their insider risk coverage. Determine where the gaps are – be it lacking context, too many false positives, or blind spots like BYOD. Modern Insider Risk Management platforms can integrate with these systems or even replace multiple point solutions, providing a unified lens on user risk. Consolidating tools not only reduces complexity but can also cut costs (some organizations saved millions by retiring redundant DLP/UEBA systems). Look for solutions that offer AI-driven analysis and agentless deployment to reduce overhead.   Break Down Data Silos: Insider risk is a cross-domain issue, so your data collection should be too. Ensure your strategy pulls in signals from cloud apps, on-prem file servers, endpoints, and identity providers into a centralized analysis engine. Context is king – an alert that someone downloaded a file means much more if you also know that user’s role, typical access patterns, recent HR events, etc. By aggregating data from various sources, you can enrich alerts with context and drastically improve decision-making.   Involve HR, Legal, and Compliance in the Program: An effective insider risk program isn’t just a security initiative; it’s an organizational one. Form a cross-functional team or committee that includes HR and Legal to develop policies for monitoring and responding to insider incidents. This helps address privacy and ethics concerns upfront. Work with Compliance to map how insider risk management supports regulatory requirements (for example, how it helps protect personal data to satisfy GDPR, or how it mitigates operational risks demanded by regulators). Having these stakeholders on board also makes it easier to communicate incidents or needed actions – e.g., involving HR when an employee needs coaching or discipline, or Legal when handling an incident with potential litigation impact.   Foster a Risk-Aware Culture (Not a Culture of Fear): Educate employees about the why behind insider risk controls. Emphasize that everyone has a role in protecting the company’s data and that the goal is to support them, not surveil them. Provide regular training on things like data handling best practices and phishing awareness, since many incidents start with human error. Also consider positive reinforcement – for instance, recognizing teams with zero data mishandling incidents or who report potential risks. A culture where employees feel they are partners in security will reduce negligent behavior and increase the likelihood that staff alert security teams if they notice something wrong (e.g., a colleague downloading unusual data).   Translate Risk into Business Terms: When reporting to executives and boards, frame insider risk in terms of business outcomes: potential financial loss, IP theft implications, downtime, and compliance status. Use metrics that matter, such as “insider incident trends over time” or “average time to contain an insider threat” to demonstrate progress. Be prepared to answer how the insider risk program adds value – for example, through preventing incidents that could cost millions or by ensuring the company meets its data protection obligations. By speaking the language of risk and reward (instead of technical jargon), you’ll secure buy-in from senior leadership and likely more budget for proactive initiatives. Remember that 91% of security leaders feel boards need more insider risk awareness – so take the initiative in educating them with concrete stories and data. In conclusion, managing insider risk in the modern enterprise requires a holistic approach. By understanding the true scope of the problem (accidental and malicious insiders alike), upgrading our toolsets to focus on user behavior, adapting controls to a cloud-and-BYOD world, and effectively communicating the risk to stakeholders, we can turn insider threat management from a reactive scramble into a strategic advantage. The threat from within is real and growing, but with the right strategy and solutions – including innovative platforms like www.anzenna.ai and others – CISOs can stay one step ahead, protecting both the organization’s critical assets and its people. Insiders will always have certain privileges; the key is to manage those privileges with intelligent oversight and a culture of trust. In doing so, enterprises can reap the benefits of an open, collaborative work environment while confidently mitigating the risks that come with it.   --- ## Platform URL: https://www.anzenna.ai/platform/ Type: page Modified: 2025-07-08 Agentless Insider Risk Management Predict and Prevent Insider Risk Faster, and More Effectively Anzenna integrates advanced insider risk detection, behavioral analytics, and comprehensive remediation into a single, powerful agentless solution. Designed to stop both malicious and accidental insider threats, Anzenna ensures that your enterprise’s security is seamless and robust without impeding operational efficiency. Other identity security products require security teams to deploy agents on all devices across the enterprise. These agent-based products have drawbacks including increased network load, excessive overhead costs, and slower performance. The Anzenna Approach Unlike existing UEBA, SaaS, or DLP solutions that simply detect symptoms, Anzenna predicts risky behavior and prevents the problem. Anzenna Platform Architecture The Anzenna platform aggregates data from across more than 85 (and counting) security products to provide a more complete picture of an event, while fusing intelligence, and AI-driven automated remediation. This takes you from detection to response faster, from reactive to proactive, and from asking questions, to knowing the answers in advance. Here’s how it works. Anzenna Platform Benefits: You’ll gain a single source of truth for all people security data. Agentless Detection AI-Powered Efficiency No Agent Overhead Built for Speed and Scale Instant Remediation Agentless Detection Agentless Detection Anzenna agentlessly identifies employees exfiltrating sensitive data, source code and IP. AI-Powered Efficiency AI-Powered Efficiency Anzenna Al’s algorithms save security teams hours of cumbersome work. No Agent Overhead No Agent Overhead No agents to install or manage, reducing time to value from months to minutes.  Built for Speed and Scale Built for Speed and Scale Agentless architecture also means no drain on internal resources. It’s faster, leaner, better, and more cost-effective. Instant Remediation Instant Remediation Single-click auto-remediation and workflows allow teams to address security issues without manual intervention, reducing response times and operational overhead. Put your Enterprise Security on Auto-Pilot with Anzenna Safeguard Your Data Protect your sensitive business data, prevent accidental and malicious 
insider breaches. Gain Value in Minutes Deploy and operate in minutes. No agents to drain your network, and no additional security staff needed. Consolidate Your Stack Bring together IRM, UBA and SaaS security in a single platform. See a fuller picture of any incident.  Request a Demo --- ## Why Anzenna URL: https://www.anzenna.ai/why-anzenna/ Type: page Modified: 2025-07-07 Why Choose Anzenna? Here’s why Anzenna is better than traditional UEBA, or EDR alone. Agentless Always Anzenna is agentless. We’ll never drain your network. We’ll never slow you down. See What Others Miss With Anzenna, you’ll find threats legacy UEBA can’t spot, and you’ll get more complete picture of every incident. Slash Cost, Drive ROI Save on data cost, save on people cost, save on operational cost, and stay ahead of reputational cost. With Anzenna you can stop insider risk in minutes. You might have hired them yourself. They’re not always malicious – they just make mistakes. It’s what humans do. Now, you’re covered. Insider threats cause more than 60% of data breaches and can cost you in lost IP, downtime, and trust. Maybe people are moving too fast in their work and disable MFA thinking it will save them time, or they inadvertently upload sensitive company data to an LLM. Whatever the reason, it’s an urgent problem. But traditional tools can’t keep up due to siloed signals, delayed detections, and noisy false-positives resulting in reduced visibility and inefficiencies. Security teams need a new paradigm for tackling insider threats. Because insider threats aren’t just a technology problem.They’re a people problem. We built Anzenna to solve exactly that. Explore the Platform How Anzenna Works Request a Demo AI-Driven Risk Detection Anzenna uses AI to forecast, detect, and mitigate insider threats across your organization without deploying agents, disrupting workflows, or adding more noise for the SOC team. Connect All Critical Systems We connect all critical systems like your SaaS tools, security tools, SIEM, and other IT systems to analyze risky behavior patterns and surface real threats with actionable context – so you avoid alert fatigue. Surface Real Threats, Not Noise In the past, these tools and teams have operated in silos without sharing context, but Anzenna brings all data together to give you a fuller, multidimensional view of every event. Gain Immediate Value and Return On Your Investment Anzenna takes minutes to configure and deploy. That means you’re gaining value immediately after turning it on. You’ll bring together insights from across your detection stack into a single platform to create a fuller picture of any incident. Rather than piecing together data from siloed tools, you’ll have actionable insight in one place. This saves your team time, it saves effort, and slashes steps in the remediation process. The time and effort savings alone justify the investment – and the value is continuous. Agentless Deployment We designed Anzenna to be precise and effective without draining your resources. Other identity security products require deploying agents on devices across your enterprise. Agent-based products have their place and can be effective, but they lead to network load, excessive cost, and slower performance. Anzenna is agentless so there is no network drain. Automatically keep your IT environment clear of suspicious software across desktop apps, OAuth apps, browser extensions, VSCode extensions, and developer packages and gain massive cost efficiencies over other best-in-breed products. Compared to agent-based solutions, Anzenna delivers 80% equivalent coverage for only 20% of the cost. When speed, efficiency, and cost savings are business priorities, Anzenna is the answer. So, Why Anzenna? We’re Your DefinitiveSource of Truth Anzenna is the ultimate source of truth for people’s security data, enhancing existing controls and pinpointing areas needing reinforcement We’re Proactiveand Predictive Anzenna’s AI forecasts and curbs insider risks like source code exfiltration, so you can proactively counter both intentional and inadvertent threats in minutes. ModernReplacement Anzenna is a modern insider risk platform that also consolidates UEBA, SaaS security, and DLP into one proactive solution. --- ## Integrations URL: https://www.anzenna.ai/integrations/ Type: page Modified: 2025-07-02 Integrate with your IT, Cloud and Security stack to Stop Insider Risk in Minutes. Identity Okta Ping Identity Entra ID Google SSO OneLogin Duo SailPoint Lumos JumpCloud Email and Messaging file_type_outlook Microsoft Outlook Google Workspace Slack Microsoft Teams Zoom File Collaboration Dropbox Microsoft OneDrive Google Drive Box Notion Data Loss Prevention Microsoft Purview Google DLP Netskope Code GitHub GitLab Semgrep Snyk Checkmarx Cloud Data Snowflake Snowflake Endpoint CrowdStrike SentinelOne Microsoft Defender Cylance Cortex XDR CarbonBlack MDM InTune Jamf Kandji ManageEngine SimpleMDM NinjaOne ScaleFusion Tanium Email Proofpoint Abnormal HR Systems Gusto Bamboo HR Deel Workday Rippling Ticketing ServiceNow Jira asana-svg Asana Training Knowbe4 Proofpoint Infosec Institute Password Managers OnePassword Bitwarden Threat Intelligence HIBP AbuseIPDB VirusTotal CRM Tools Hubspot Salesforce SOAR Tines Network logo (34)-svg Zscaler Dope.Security SIEM Splunk RPD_BIG Rapid7 --- ## From Code to Chaos: The Cybersecurity Risks of Gen AI URL: https://www.anzenna.ai/from-code-to-chaos-the-cybersecurity-risks-of-gen-ai/ Type: post Modified: 2025-07-02 Intro to Gen AI In the last three years, it’s as if AI has become a household name. Though the term has been around since the 1950s, OpenAI’s release of ChatGPT in 2022 boosted its popularity and led to widespread adoption and innovation in the field, and it is showing no signs of slowing down. AI and cybersecurity are now more connected than ever, with AI playing a key role in digital defense strategies. NVIDIA has laid out its outlook for the following stages of artificial intelligence, moving from perception to generative to agentic to physical. Though enterprises’ primary focus has now shifted to agentic AI and implementing agentic workflows in their businesses, Generative AI still plays a huge role and is often the form factor of AI that people interact with the most on a day-to-day basis. Generative AI is AI that can generate new content in various forms (text, images, videos, audio, etc) by training on large datasets. Using neural networks, it identifies patterns and structures within said datasets, using that information to understand users’ natural language requests and generate new and original content. Gen AI’s Impact on Security We have seen how AI has transformed everything around us, so one can only imagine how much it has transformed cybersecurity as an industry. The use of AI in cyber security has expanded rapidly, transforming how enterprises detect, respond to, and prevent cyberattacks. Generative AI cyber security, in particular, can simulate cyberattacks and produce faux datasets, allowing the AI to evolve and adapt to new threats as they emerge. Through training, it can better understand the nuances of security data and identify patterns indicative of cyber threats like malware, ransomware, and unusual network traffic that traditional detection systems may miss. By learning from historical data, we can establish a baseline of standard activity, allowing for flagging any deviations that may indicate an incident. While Generative AI has enabled security practitioners to do their jobs more effectively, it has simultaneously created many risks on top of what were already threats in cybersecurity, from allowing cybercriminals to carry out more creative and effective attacks to making misinformation more prominent. Let’s dive deeper into some of these security risks. Security Risks with Gen AI Phishing and Social EngineeringCriminals can use Generative AI to generate personalized content that mimics legitimate communication, tricking people into sharing sensitive information or even downloading malware. This has become one of the most pressing AI cybersecurity threats for enterprises. While phishing has been around since the dawn of the internet, AI has allowed it to become increasingly sophisticated, able to mimic writing styles and automate attacks at scale. Often, it is hard to distinguish from actual conversations, meaning there is a higher risk of successful scams. Including personas of actual people with personal information is possible, allowing for more convincing impersonation. AI trained on extensive social network data can target attacks at each addressee, improving phishing effectiveness and often evading legacy systems. Deepfake GenerationDeepfakes are hyperrealistic images, audio, or videos created using generative AI that bad actors can use to impersonate people. It has become a pressing concern as it enables fake news by creating very realistic footage that can sway public opinion. Cybersecurity with AI tools is now being used to detect deepfake media at scale. In a time of such high polarity and political tension, this is far beyond entertainment and pranks, as it can lead to identity theft of very high-level people, such as politicians, C-suite executives, and celebrities, leading to reputation damage, political instability, and financial fraud, among others. They have become a critical tool for misinformation fueled by Generative AI. Malware & Malicious Code GenerationGenerative AI software development tools, such as GitHub Copilot, Lovable, Windsurf, and Cursor, have become increasingly popular recently. Though they are loved by builders worldwide and can be very useful in creating solutions, these tools also enable attackers to produce new and malicious code far more easily. Malware can be designed to adapt and evolve its identifiable features to avoid detection by antivirus and malware detection tools. Adversarial Attacks on AI SystemsAttackers leverage Gen AI’s multimodal capabilities to create a variety of manipulated inputs, such as slightly altered images, audio, and text, to trick an AI model into making wrong decisions. These changes are often undetectable by humans but confuse the AI, leading to misleading outputs. For example, AI could create an image that appears normal to us but results in image recognition software misidentifying it. It could also generate text that surpasses spam filters and content moderation tools. These adversarial attacks undermine the reliability of AI security tools, creating blind spots where threats can quietly slip through. AI based cyber security teams are focusing on building more robust models to defend against these adversarial attacks. Training Data Leakage & Privacy ViolationsTraining data makes Gen AI possible, as patterns and structures are identified in the datasets to produce user outputs. What happens if sensitive training data is unintentionally exposed? If a model is trained poorly, it might unknowingly include trade secrets in its output. If an AI model memorizes and regenerates private information, this leads to breaches of confidentiality. As data gets more complex, the risk of leakage increases and can happen in subtle ways that are hard to detect. Cybersecurity for AI is now focusing on preventing such data leakage risks at every stage of the AI lifecycle. Model PoisoningKnowing that these models rely entirely on their training data, attackers sometimes target this data and alter or poison it. This can also work by injecting malicious data points into a training set, which can cause models to fail or function unpredictably. For example, in code generation models, it could propose code with vulnerabilities, making it easier to penetrate. Model poisoning becomes especially dangerous in fields like autonomous driving or the financial sector, as the consequences are dire. It undermines the trustworthiness of AI applications. AI network security tools now include model integrity monitoring to prevent these types of attacks. Automated Vulnerability Discovery & ExploitationAll systems and software have vulnerabilities, which bad actors aim to find and act on. Gen AI has allowed attackers to analyze individuals, systems, and software more easily and efficiently for weak points to launch more targeted attacks. As these models become more sophisticated, they become targets for theft, and those with access can use them to find and exploit vulnerabilities. The latest developments in cybersecurity AI are focused on rapidly identifying and patching these discovered vulnerabilities. Mitigations to These Risks Given the number of risks that Gen AI has brought to security, it is crucial to discuss how to combat them. Building a Strong AI Governance and Oversight FrameworkOne of the best things an enterprise can do to get the best out of AI while still maintaining security is to develop an AI Governance Framework. It is vital to have clear guidelines for AI development and deployment. Defining roles and responsibilities for those involved with AI projects, having oversight mechanisms to ensure compliance, and setting protocols for risk assessment help ensure that employees are using AI responsibly. Also, keeping detailed records of training data, model development, and deployment is incredibly helpful to look back on. Secure Generative AI with Data Classification, Anonymization, and EncryptionData is the new gold, and managing data carefully in the AI age is essential. Classifying data allows for its appropriate safeguarding, depending on the sensitivity of the information. Anonymizing data removes any personally identifiable information, which protects privacy and reduces the impact of a leak. Encryption makes data unreadable to unauthorized users, providing a strong layer of security, and is extremely important both at rest and in transit. Maintaining regular data audits and having proper data retention policies helps prevent leaks. Many AI cybersecurity companies now specialize in providing these data protection services. Invest in Employee Readiness for AI Security and EthicsUsing AI for cybersecurity awareness training is becoming a core part of many companies’ security programs. Employees should be competent in Gen AI, security, and AI ethics risks. Training employees is of the utmost importance, as an informed workforce will know how to identify and mitigate risks when they arise. Establishing clear internal AI usage policies and keeping employees informed of these ground rules ensures interactions are consistent with the organization’s security protocols. AI in cyber security courses are now being rolled out in many organizations to help employees stay updated. Protect Work Data from Misuse in Generative AIOrganizations must establish strict guidelines and control mechanisms to protect against the risk of training data leakage and ensure the security of sensitive world data. There needs to be clear boundaries on what data types can be used for training and operations. For example, security practitioners should prohibit specific categories of information within an enterprise from being input into AI systems, such as personal employee info. Access controls should be implemented based on roles so that only authorized personnel can access sensitive data and these AI systems. It is essential to continuously monitor and audit the use of data within AI systems. AI powered cybersecurity tools with role-based access control (RBAC) are now used to enforce these guidelines. Invest in Cybersecurity Tools Built for AI ThreatsGiven the plethora of risks that Generative AI has brought to security, an increasing number of tools have emerged to address these risks. Investing in advanced cybersecurity tools is essential for defending against these threats. Enterprises should look for systems capable of detecting AI-generated anomalies and AI-specific vulnerabilities. Tools should be able to monitor AI usage within the company to prevent employees from uploading confidential information like client data or source code. Though it may seem harmless, it is important to consider that these platforms may retain and use the data for future training. Logging AI-related activities, flagging risky behavior, and blocking unauthorized access is vital. There is also potential for GenAI to help with security efforts, as it can identify emails created by GenAI. More companies are adopting AI cybersecurity solutions tailored to these modern threats. How Anzenna Can Help Anzenna is the perfect tool to help mitigate the risks of GenAI and provides many of the mitigations suggested to combat the security threats listed. As one of the cutting-edge cybersecurity tools addressing AI risks, it serves as a great addition to any enterprise looking to protect its company’s IP better. Among AI cybersecurity companies, Anzenna stands out for its proactive defense features. Anzenna monitors employee activities and flags any concerning behavior, as well as any risky Gen AI behavior. It keeps track of what is being uploaded to these AI systems and can stop the process if any information is critical. Anzenna also provides strict access controls and authentication, allowing enterprises to control which roles have access to what information or actions. If any activity is flagged as risky, security practitioners can push training videos to those specific employees, resulting in a more informed workforce. Overall, Anzenna ticks most of the boxes necessary to protect enterprises against the risks of Generative AI while still allowing them to leverage it for its benefits. --- ## The Hidden Danger of Insider Risk: Why Old-School Security Just Doesn’t Cut It URL: https://www.anzenna.ai/the-hidden-danger-of-insider-risk-why-old-school-security-just-doesnt-cut-it/ Type: post Modified: 2025-07-01 Let’s be real—insider threats are one of the biggest problems in cybersecurity today. You don’t always need an outside hacker to cause chaos. Sometimes, the threat is sitting right inside your own company. In fact, about 3 out of every 4 breaches last year involved people inside companies. And those breaches? They’re not cheap. The average one tied to insider activity cost companies almost $5 million. The real problem? Most security tools out there are stuck in the past. This includes User and Entity Behavior Analytics (UEBA), and also Security Information and Event Management (SIEM), which are two very common types of cybersecurity systems. They wait until something bad happens, then throw up a red flag. But by that time, the damage is often already done. Companies need smarter, faster ways to spot these risks before things go sideways. Three Kinds of Insider Threats You Should Know Not every insider threat looks the same. They usually fall into three buckets: The Malicious InsiderThese are people who intend to harm you – whether that’s stealing files, messing with systems, or helping outsiders break in. Take the case of Coinbase, a cryptocurrency exchange company. They discovered a recent security breach impacting nearly 70,000 customers after hackers bribed customer support staff to gain access to sensitive data, and then demanded a ransom. Coinbase refused to pay the ransom but estimates the financial impact of the breach could be up to $400 million. That’s not just shady—that’s serious insider theft. The Negligent InsiderThese folks aren’t trying to do anything bad. But they end up causing problems anyway – like misconfiguring cloud storage, clicking phishing links, or forgetting basic security rules. An example? Disney recently fired an employee who unintentionally compromised the company’s cybersecurity in a massive breach. The employee downloaded a free AI tool that they thought was legitimate but turned out to be malware. The hacked employee then had their password credentials stolen, which was used to access the company’s internal Slack – giving attackers access to over 44 million internal messages and leaving 1.1TB of sensitive company data exposed. The Accidental InsiderThis is the person who didn’t mean to click on a bad link… but did. Or who sent the wrong email to the wrong person. It happens more than you think. Recently, Google reported a wave of phishing emails targeting Chrome users. These emails had links loaded with sneaky malware that took advantage of a new (zero-day) vulnerability. Once clicked, it was game over. No evil intentions—just a split-second mistake that opened the door to hackers. Why Traditional Security Tools Keep Missing the Mark They React Instead of PreventingMost security systems are like fire alarms that go off after the house is already on fire. They rely on rigid rules and can’t spot strange behavior before something bad happens. So by the time your team gets an alert, it might already be too late. Too Much Noise, Not Enough ActionEver heard of alert fatigue? It’s real. Tools like SIEM and UEBA spit out tons of warnings, but most of them are in fact false positives, meaning harmless. When teams get buried under thousands of alerts, they start tuning them out – a phenomena known as ‘alert fatigue’ – and that’s when the real threats sneak by. Can’t See the Whole PictureCompanies today run on a mix of SaaS apps, various clouds, personal devices, and more. But most older tools were built for office networks and can’t track what’s happening on tools like Google Drive or Slack. That’s a big blind spot. No Time to Waste, But Manual EverythingWhen a threat is detected, every second counts. However, even when threats are spotted, old systems don’t act fast enough. They need human teams to do everything by hand—review alerts, pull logs, investigate, escalate. By the time action is taken, the damage may already be done. In fast-moving situations, delays can be dangerous. How Anzenna Handles Insider Risk the Smart Way Smarter Detection, Powered by AIAnzenna uses agentic AI that looks at what people actually do across apps and devices. It finds odd behavior early—before things go wrong. Anzenna keeps your environment clear of suspicious software across desktop apps, OAuth apps, browser extensions, VSCode extensions, and developer packages.  It’s like having a security guard who never sleeps and can actually think. Easy Setup, No Agents NeededAnzenna doesn’t need to install anything on your employees’ devices. No clunky software, no slowdowns, no complex deployment, no headaches. Just smooth protection, behind the scenes. Stops Trouble Before It SpreadInstead of just raising a flag and waiting for someone to fix it, Anzenna jumps in automatically. It can block risky actions, stop data leaks, or flag bad behavior—all in real time. Anzenna surfaces high-fidelity risks instantly, saving your security team hundreds of hours of manual work stitching together logs from siloed systems. Total Visibility, Front to BackNo matter if you use Google Workspace, Microsoft 365, Slack, or a mix of cloud and on-prem applications, Anzenna sees it all. That means no more blind spots, and no more guessing. Anzenna gives you deep context and cross-platform insight to prioritize security risks, all available out-of-the-box using our AI chatbot interface and reports. Looking Ahead: The Future of Insider Risk Companies are changing. Teams are remote, apps are in the cloud, and AI is part of the daily workflow. Old-school security can’t keep up. With Anzenna, you don’t just respond to insider threats—you prevent them. You stop problems before they start. You protect your people, your data, and your business. Want to stay ahead of insider risk?Let’s talk. Anzenna can help. Visit Anzenna to schedule a demo. --- ## What the Coinbase Breach Teaches Us About Insider Risk URL: https://www.anzenna.ai/what-the-coinbase-breach-teaches-us-about-insider-risk/ Type: post Modified: 2025-07-01 In May, Coinbase disclosed a massive breach, one that exposed the personal data of over 69,000 users and could cost the company up to $400 million. The attackers didn’t break through firewalls or exploit zero days. Instead they bribed overseas customer support agents at TaskUs, a third-party provider, to exfiltrate sensitive customer records.  The breach is a stark reminder. Insider risk isn’t theoretical —  it’s operational, and it’s increasingly expensive. When Access Becomes a Liability The coinbase breach highlights how even indirect insiders like contractors and third-party agents can become a soft underbelly for sophisticated threat actors. For just $2,000, support reps handed over the keys to the kingdom. The hackers didn’t need admin rights or complex malware they just needed someone on the inside.  With stolen data in hand, the attackers launched a wide scale social engineering campaign impersonating coinbase employees and even attempted to extort the company for $20 million. It’s the kind of breach that security leaders fear most: hard to detect, easy to replicate, and damaging far beyond the initial intrusion. What was the Root Cause Everyone’s focused on the $400M in damages, the ransom demands, and TaskUs fallout. But the root cause is deeper. Why did reps have open access to customer data in the first place? Where was the control layer on top of the support system? Why wasn’t rep behavior tied to support ticket volume? From Facebook’s “God View” to the Coinbase breach, the lesson remains that your insider threat starts in the inbox, not the server room. The Coinbase breach wasn’t an anomaly. It was a blueprint.  Why You Need Anzenna for This Moment We saw this coming. We built for it. Insider risk isn’t a hypothetical. It’s operational. It’s human. And it’s already inside your org. Anzenna doesn’t wait for the next breach. We see it as it forms — and shut it down before it hits your bottom line. We don’t wait for logs to trickle into a SIEM. We operate in real time at the point of risk with live interventions. Fortify your forensics with our firewall for fraught human behavior. Real-Time Risk Detection Anzenna agentlessly integrates into your IT and support stack, including custom tools and outsourced systems. We don’t just monitor endpoints or log files. We provide a unified employee-centric view of your organization’s real-time risk posture. Our platform identifies high-risk behaviors like:  Abnormal access to customer data  Repeated infections, risky installs or shadow IT use  Social engineering patterns across support tickets  And we do it while users are still logged in.  The Old Way Looks Back. Anzenna Looks Forward. UEBA platforms may detect such threats after they unfold, piecing together logs (if you have managed to ingest them)  and anomalies (if you have written rules)  long after data has left the building. But insider threads don’t wait. And neither should your defenses.  DLP solutions might find data exfiltration via certain means, but in this case the support rep was allegedly taking pictures of the customer data.  Traditional Insider Risk Solutions are Agent-based and may still not catch such sophisticated threats not to mention the significant setup and support overhead. Do outsourced support reps run IRM agents on their machines? Do traditional IRM solutions prevent the Disney type insider hack where an employee downloaded a fake AI application that stole a bunch of their sensitive data? Anzenna is a modern insider risk solution that offers real-time risk detection through deep integrations with your IT, support, and custom systems. Whether it’s Salesforce, Zendesk, or an in-house helpdesk tool, Anzenna sees what your users are doing as they do it.  Instead of relying on passive analytics Anzenna takes action: Block risky applications or sessions Activate targeted training or warnings  Lock access temporarily Disable compromised or complicit accounts These aren’t just alerts, they’re built-in levers for automated, precision remediation with a modern AI interface. With Anzenna, your team doesn’t just get more data. You get control.  The Real Lesson from The Coinbase Breach The biggest takeaway from the coinbase breach isn’t about crypto tokens or even support outsourcing. It’s this: modern attacks don’t need to breach your defenses, they just need to bribe your help desk.  It’s time to move beyond policy enforcement and after-the-fact forensics. Insider risk isn’t an edge case. It’s a top threat vector and it’s one your security stack must actively address.  Anzenna delivers people-centric protection for a people-powered world because trust alone is no longer a strategy. Don’t Wait for the Next Headline Coinbase isn’t alone. From healthcare to fintech to manufacturing, any organization that relies on third-party support or distributed workforces is vulnerable to the same playbook.  Security tools that wait for unusual behavior to surface aren’t enough. You need a system that knows who’s doing what, where, and why at all times – before a bad actor turns routine access into a multi-million dollar crisis. Anzenna gives you that visibility, that control, and that peace of mind. Because the next breach won’t necessarily come from the outside – it might come from within. What You Can Do Today to Prevent the Next Insider Breach The Coinbase incident isn’t an edge case. It’s a preview. If your organization relies on distributed support teams, third-party access, or under-monitored internal tools — you’re in the blast radius. Here’s what your team should do right now: 1. Audit Access to Customer Data Identify which users — including contractors and third-party reps — can access sensitive customer records. Remove standing access where it’s not essential. Use just-in-time permissions when possible. 2. Instrument Your Support Tools Ensure your support platform logs access to customer data, not just ticket activity. Track how many records each rep accesses — and whether those accesses correlate with open tickets. 3. Monitor for Behavioral Drift Look for patterns that indicate misuse, like reps accessing accounts they weren’t assigned or sudden spikes in data views. Pair behavior with context — was there a reason for the access, or was it opportunistic? 4. Test Your Visibility Stack Are support tools integrated into your detection and response workflows? If you rely on UEBA or SIEM alerts, verify that logs are ingested completely and continuously — partial visibility is a false sense of security. 5. Deploy Real-Time Insider Risk Controls Passive monitoring is no longer enough. Use tools like Anzenna to detect and respond to insider threats as they happen: Flag risky applications and sessions Lock accounts showing signs of compromise Trigger automated warnings or step-up verifications The next breach won’t wait for your audit cycle. It will happen on a Wednesday morning with credentials that passed every check — except intent. Anzenna stops breaches before data leaves the building. --- ## AI Security 101: What You Need to Know to Take Action URL: https://www.anzenna.ai/ai-security-101-what-you-need-to-know-to-take-action/ Type: post Modified: 2025-06-12 Artificial Intelligence (AI) has introduced both new challenges and new opportunities to cyber security. On the one hand, cyber criminals leverage AI capabilities to create attacks that are more advanced and with wider scale than anything before. This is possible, since AI is a huge force multiplier for these hackers. We’re covering that aspect of cyber crime in a separate blog. On the other hand, AI also provides a major force multiplier for cyber security defenders. Whenever defending networks, systems and data, AI enables cybersecurity vendors, and their customers, to present a good, solid security posture in the face of new AI threats. In other words, you must adopt and use AI to protect against AI risks.  Security leaders and teams need great, actionable strategies to effectively implement AI security. These strategies must include aspects such as security operations, governance, compliance, and vulnerability management. In this blog, we’ll cover these aspects and suggest some thoughts on how to best address them. Defining AI Security ‘AI security’ involves the strategies and tactics an organization must implement to protect both its AI systems and their data, from any and all cyber threats that are out there. AI security has two aspects: Security for AI: Focuses on protecting each component of the AI system – data, algorithms, and applications. Protection must be comprehensive, against all threats, including data breaches, unauthorized access, insider threat, etc. The AI systems must remain confidential, reliable, and with integrity; after all, AI plays an increasingly central role in organizations’ business operations. AI for Security: Utilizes AI technologies to improve cybersecurity protection. AI tools automate detection and response, mitigate human errors, and enable rapid threat response. For example, machine learning algorithms examine and highlight unusual patterns in huge datasets and enable them to more effectively identify potential cyber threats, compared to conventional techniques.   Both aspects must be incorporated for an organization to achieve robust AI security. When implemented correctly, Security Operations (SecOps) and Development Operations (DevOps) teams can effectively counter cybersecurity threats and gain operational efficiency. Understanding AI and Machine Learning IDC predicted, in December 2023, that 85% of CIOs would change how their organizations work by 2028. They will do so to better leverage technologies like AI, machine learning, and more. The difference between AI and machine learning is: Artificial Intelligence: Machines perform tasks that require human intelligence. Such tasks include learning, drawing conclusions, and solving problems. Machine Learning: Machines perform a specific task and provide accurate results by learning from data, identifying patterns, and doing all that without explicit programming. Machine Learning is a subset of AI. The rapid rise of these two concepts, especially since 2023, has put a new and significant burden on cybersecurity professionals. They now must develop new expertise in AI security, something they didn’t need before. Today’s cybersecurity professionals must understand AI and machine learning, to make sure their organizations use these securely in-house, and to protect themselves from external threats leveraging these technologies. One new challenge, for example, is how to identify and overcome vulnerabilities in AI systems. Take for instance a machine learning model that was trained on biased datasets, either intentionally or unintentionally. Then, the ML model uses the same biases to make decisions. Such biased results can have both business and ethical consequences. On the business side, the ML model may make decisions that will harm the organization’s business. On the ethical side, biased decisions lead to problematic actions in fields like law enforcement or healthcare. Cybersecurity professionals must understand AI and ML inside and out to prevent the above. This will help them evaluate risks, prevent biases, handle AI-related security incidents, and make sure that AI and ML help their organization rather than harm it. Addressing Workforce Shortages in Cybersecurity The global market has a severe shortage of skilled cybersecurity professionals. We’ve known it for years, it’s nothing new. ISC2 reports on that shortage every year; they’re a non-profit organization which specializes in training and certifications for cybersecurity professionals, so they’re experts on the subject.  Back in 2022, ISC2 estimated a global shortage of 3.4 million cybersecurity professionals. The American National Institute of Standards and Technology brings many other studies from recent years about the huge shortage. Among these, NIST quotes another study, about a shortage of well over half a million cybersecurity professionals in the U.S. alone. AI did not help to close that huge skill shortage. In fact, the exact opposite happened. Just two years later, in October 2024, ISC2 said in its annual report that the global cybersecurity workforce gap grew to nearly 4.8 million jobs!  While North America is doing relatively well, and is “only” missing a little over half a million skilled cybersecurity employees, the situation is worse in Asia-Pacific, with a shortage gap of more than 3.3 million cybersecurity professionals. This huge workforce gap is not something trivial. It affects how organizations can defend themselves. It also affects how organizations implement new technologies, such as AI, which in many organizations is mandated by the board of directors. It would not be farfetched to say that many organizations are implementing AI in a subpar way, from a security perspective. Many organizations face a tough dilemma. On the one hand, AI provides a huge promise to their business by automating repetitive tasks. By doing so, employees can focus on things that require human attention. On the other hand, many organizations don’t have enough cybersecurity personnel to implement and use AI in a secure manner. When they do implement AI, they expose themselves to significant risks. Cybersecurity teams themselves face a similar challenge. On the one hand, AI-based defenses enable them to do their jobs faster and more effectively. On the other hand, new AI security tools require appropriate integration, training for the security team, and possibly also adapting some processes. Implementing all of that is challenging when you’re already short-staffed. AI also brings with it new challenges. One of them, for example, is managing risks involving non-human identities. As machine-to-machine communication rapidly increases, it’s becoming paramount to safeguard these “identities”. This is one of many places where current regulations lag behind the astronomical advancements in technology. Without a clear framework, there are numerous risks related to these non-human identities – them being hijacked, impersonated, manipulated, etc. These risks allow attackers to bypass traditional security systems unnoticed. Gartner says that by next year, i.e. 2026, about 80% of organizations will struggle to manage non-human identities, and that will create huge risks involving breaches and compliance failures. Why is AI security important? In a survey held in early 2024 by software company Splunk, they surveyed 1,650 cybersecurity executives across the U.S., Japan, the U.K., France, Germany, and several additional countries. In the survey, 93% of executives said their companies had already deployed generative AI for business purposes, and 91% said they’d deployed AI within their security teams. However, 34% said they lacked a complete generative AI policy. Moreover, when asked about their top security initiatives for 2024, AI came in first with 44% of executives choosing it as their top security initiative. Cloud security came second, with 35% of executives naming it as their top priority.  When executives were asked whether AI would tip the scales in favor of defenders or adversaries, respondents were almost evenly divided – 45% predicted adversaries will benefit most, while 43% thought defenders will come out on top. This shows how even top cybersecurity leaders are divided between viewing AI as a threat or a benefit. The conclusion: cyber threats stemming from AI security are real and are already here. These new risks put extra pressure on SecOps and DevOps teams. Organizations must proactively manage their environments, to take advantage of the opportunities that AI security presents. Else, cyber criminals will use these technologies to harm you in ways you’ve never experienced before. I see four areas that must be prioritized for effective implementation of AI security. Of course, that’s only if you want to achieve optimal management of cyber risks (else ignore my suggestions): Sensitive and Regulated Data Protection AI Risk Mitigation Ethical and Regulatory Compliance Security Efficacy Sensitive and Regulated Data Protection AI systems love data. Lots of data. That’s why your AI systems attract cyber criminals, honey attracts bees. When hackers breach your AI system, it’s not just the system that’s at risk; it also breaks your customers’ trust in your company and causes serious damage to your brand. The numbers show that clearly. In 2024, the average cost of a data breach in the U.S. was nearly $9.4 million, according to IBM’s “Cost of a Data Breach Report 2024”. That number is not just a line item; it’s a business-critical event. To guard against this, you must have ultra-strong data protection. That’s non-negotiable. Encryption, Role-Based Access Control (RBAC), and rigorous security governance must be part of your foundational security. AI Risk Mitigation AI isn’t just another IT system – it introduces entirely new threat vectors. In my opinion, one of the most meaningful threats is model theft. It means hackers stealing your proprietary algorithms. Another new and meaningful threat is adversarial attacks, where attackers manipulate your training data, with the goal of derailing how your AI behaves, and the results it provides. These are brand new, sophisticated and high-impact threats – that your static defenses won’t be able to handle. To stay ahead of cyber criminals who have their eyes on you, your security strategies must evolve in tandem with AI innovation. Ethical and Regulatory Compliance AI systems often process sensitive data, like personal or regulated data. In other words, I’m referring to Personal Identifiable Information (PII), and additional types of sensitive data you don’t want leaked. GDPR, CCPA and other regulatory frameworks are not just guidelines; they’re legal guardrails and must be taken with outmost seriousness. It’s great if your compliance is such that you avoid penalties; however, true strong compliance is much more than that – it’s about maintaining transparency on how your AI decisions are made, so that you can avoid risks like bias. Else, biased models can cause real harm in areas like hiring, healthcare, and law enforcement.  Security Efficacy As I mentioned earlier, AI is both a risk factor but also a powerful partner. Machine learning systems detect anomalies in real-time and help security teams to identify and respond to threats in a faster way. Since today’s threat landscape evolves faster than ever, with new attack techniques constantly developing, you can use any partner you can get to fight against bad actors. The speed and precision offered by AI is an absolute game-changer, in that respect. AI Security Risks AI brings incredible potential, but it also opens the door to new risks that traditional security tools weren’t built to handle. Data Poisoning and Adversarial Examples Attackers can corrupt training datasets (data poisoning) or craft malicious inputs (adversarial examples) to throw off AI results. The consequences? Misguided decisions in highly-regulated sectors like healthcare, finance or public safety—and that’s a risk no one can afford. Model Theft When threat actors get access to your AI models, they’re not just stealing code—they’re stealing intellectual property. Worse, stolen models can be used to power everything from deepfakes to targeted cyberattacks. Prompt Injection Attacks Generative AI systems are especially vulnerable to prompt injection attacks. These manipulate model inputs to produce misleading or dangerous outputs. The more organizations rely on GenAI, the more they’ll need to secure it. AI Supply Chain Risks AI systems don’t operate in a vacuum. They depend on APIs, third-party models, open-source components—all potential attack vectors. Without strict supply chain controls, organizations risk importing vulnerabilities from third-party components and services straight into their systems. Mitigating Risk Using AI Security Frameworks Managing AI security risks starts with robust data governance. That means classifying, securing, and monitoring data throughout its lifecycle. As Gen-AI tools become more mainstream, governance gaps – like oversharing sensitive data – can become ticking time bombs. RBAC is crucial here. Access to AI systems and datasets must be limited to those who truly need it. You should bring together teams responsible for identity, data security, compliance, and digital workplace tools – them working together will help close governance gaps and create a more unified front. The sheer scale of the challenge is huge, and it keeps growing at a fast pace. Large enterprises face billions of cyber events each day. With some teams receiving 10,000 alerts daily, it’s clear we can’t rely on humans alone. That’s where smarter AI systems come in—to handle volume, detect true threats, and cut through the noise. AI Security Strategies That Work Want to make a real dent in security threats? AI and automation can resolve up to 85% of cyber alerts, according to IBM. Beyond efficiency, AI and automation also help compensate for the cybersecurity talent gap.  Let’s break down how to secure AI across three key areas: Data Security Encrypt sensitive data, both at rest and when in transit.  Enforce RBAC so only the right people have access to critical information.  Continuously monitor for anomalies that may be possible threats. Model Security Validate sources to ensure model inputs and updates are trusted.  Secure APIs and plugins to prevent exploitation.  Harden models to protect them against manipulation or performance degradation. Usage Security Implement ethical guardrails to prevent any misuse of AI-generated content.  Monitor in real-time to detect prompt injections, data leakage, or unexpected behaviors. Use anomaly detection to flag anything that seems “off” within AI environments. Emerging AI Security Tools to Know As both the threat landscape and AI technologies continuously evolve, so do the tools we need to fight back: Machine Learning Detection and Response (MLDR): These tools monitor AI systems at every stage of development, and flag security risks they identify.  Security Orchestration, Automation, and Response (SOAR): These platforms automate threat detection and response and enable cybersecurity teams to handle incidents in a much faster and more efficient way. No surprise, then, that a Salesforce survey, held in 2024 among hundreds of leaders in large Australian enterprises, found that 43% of executives saw increasing productivity as a main reason to adopt AI in security. It’s not about replacing humans – it’s about empowering them to do more, better. Four Best Practices for AI Security To stay ahead, organizations should anchor their AI security around four proven principles:  Enforce Governance Frameworks  Work with compliance and GRC teams to ensure AI systems align with ethical standards, minimize bias, and meet legal requirements like GDPR.  Adopt the CIA Triad  Keep Confidentiality, Integrity, and Availability front and center in all security decisions – it’s foundational for user trust and operational stability.  Secure the AI Lifecycle  From training to deployment, embed security into every step. DevOps and SecOps teams should collaborate, protect the Continuous Integration / Continuous Delivery (CI/CD) pipelines, and enable continuous monitoring.  Promote Explainability and Trust  Transparent, explainable AI models build trust, streamline debugging, and make it easier to prove compliance. In short, clarity leads to credibility. The Road Ahead: Balancing Innovation and Security In this blog, we covered two aspects of AI security. The first was how to protect AI systems from vulnerabilities. The second was how to use AI to improve your organization’s cybersecurity posture. But AI security isn’t just about defense. It’s also about enabling safe, scalable innovation for your organization. Yes, we need to secure data, models, and systems – but we also need frameworks that evolve alongside technology.  The goal isn’t to slow down AI adoption – heck no! The main message I wanted to convey in this blog is – let’s do it the right way. By building security into the core of your AI strategies, your business can unlock massive potential – boosting productivity, streamlining decisions, and protecting what matters most in the process. FAQ What is AI security? AI security includes two parts. The first is protecting AI systems, including models, applications and data, from online attacks. The second part is using AI to strengthen the organization’s overall cybersecurity defenses. How does AI improve cybersecurity? AI improves cybersecurity by automating detection and response systems. This automation lowers the possibility of human error and enables organizations to react much quicker to possible threats. What are the main risks in AI security? The main risks in AI security include data poisoning, adversarial attacks, model theft, and weaknesses in the AI supply chain. An organization that implements AI systems must address all these issues and implement proper safeguards. How has Generative AI affected security? AI has fundamentally changed the game with everything regarding security. The risks have increased significantly, and additional risks have been added such as data misuse, misleading outputs, and theft of intellectual property. All of these are creating the need for organizations to have stronger ethical and technical guardrails. What’s the best way for us to prepare? The best way to prepare is to take action early. Start with proactively implementing AI-specific security protocols, cross-functional governance, and continuous training for all employees. The sooner you act, the safer your organization will be. --- ## What is Generative AI in Cybersecurity URL: https://www.anzenna.ai/what-is-generative-ai-in-cybersecurity/ Type: post Modified: 2025-05-23 Generative AI is a field within artificial intelligence. GenAI digests enormous amounts of data, and later creates new content, such as text, images, videos or music, based on what it learned from the data it digested. While the roots of generative AI go back to the 1950s and 1960s, it’s only in the last decade that GenAI leaped forward and gained wide adoption. The most famous leap, and public recognition, occurred in late 2022, when OpenAI launched its ChatGPT. This launch has shaken the business world in ways we don’t yet fully understand. One result of the ChatGPT launch – it fundamentally affected how organizations look at and manage their digital security risks. Traditional AI “just” looks at data and predicts outcomes. It has been used in many aspects over the years, from medical research to weather predictions to fraud detection and prevention. Generative AI is different. It creates new content that identifies repetitive patterns. This capability makes Gen AI useful for cybersecurity, as it helps identify threats, detect anomalies, and triage incident response. On the plus side, gen-ai helps cybersecurity detect various threats, and it does so very fast. On the con side, this “game” is played by both sides, and bad actors also use Gen AI. Cybercriminals are using this technology to create complex attacks, with the goal of these attacks avoiding detection by both human and cyber systems. The FBI recently warned that cybercriminals leverage gen-AI to initiate unprecedented amounts of fraud, where Gen AI is used to create advanced phishing and social engineering attacks. But external bad actors are only part of the picture. Gen AI also increases the risk of insider threats, whether these actions are intentional or unintentional. In short, Gen AI capabilities serve both cybercriminals and cybersecurity defenders, which means the defenders must utilize the technology and always be at least one step ahead of bad actors. Cybersecurity defense, that is not based on advanced gen-AI, is worthless today. Gen AI Role in Cybersecurity Generative AI enables cybersecurity vendors and customers to strengthen both resilience and incident response. It enables us to modernize the traditional Security Operations Center (SOC) and provide security teams with advanced tools for threat management and risk evaluation. The combination of human analysts with AI detection technologies offers capabilities that were not available until now.  Security teams using gen-AI can find system vulnerabilities and react to threats in a matter of minutes. Using advanced algorithms, gen-AI can tap into previously disparate sets of data, to correlate analysis. By doing so, it can alert teams on out-of-the-norm activity in the environment, such as device and application threats, cloud data exfiltration, and identity compromises. These alerts can then trigger human investigations and initiate incident response. Gen AI simplifies previously manual tasks that typically increased risks and led to preventable breaches.  There are four primary areas where gen-AI is making a significant impact in the SOC: threat detection and response, email filtering and phishing prevention, automated incident reporting, and security orchestration and workflow automation. Threat Detection and Response:  Gen AI increases capabilities to detect abnormal variations in network traffic through advanced anomaly detection techniques. With rapid analysis of logs, internet traffic, and packet captures, gen-AI technology can flag deviations that may indicate potential breaches, thus enabling fast human investigation. Traditional systems are bogged down by false positives and delayed responses. With gen-AI, SOC teams enjoy significantly reduced alert fatigue and measurably improved response times to threats across on-premises, hybrid, and cloud environments.Gen AI enables security teams to concentrate on actual threats, rather than chase false positives. The result is faster vulnerability scanning and simpler patch management. Gen AI efficiently prevents critical risks like phishing, data exfiltration, insider threat, and SaaS vulnerabilities. It also supports advanced capabilities like malware simulation, digital forensics, and incident response. Email Filtering and Phishing Prevention:  Phishing attacks have become more sophisticated and harder to detect. Gen AI significantly strengthens the organization’s ability to defend against that threat. It does so by analyzing email characteristics, to identify fraudulent communications. Gen-AI investigates linguistic patterns, context, and also sender behaviors, and can thus detect signs of phishing, that traditional methods may miss. Once organizations deploy AI-driven email filters, these will automatically block or flag any suspicious messages for further inspection. By that, gen-AI significantly reduces the risk of a successful phishing attack on the organization. This approach reduces the load from the SOC team. It also reduces the risk of employees falling victim to social engineering attacks that are used by cyber criminals. Automated Incident Reporting:  security teams typically deal with excessive amounts of data, from multiple sources. This makes it difficult to create cohesive reports on security incidents. Gen-AI helps organizations to automate the creation of incident reports, based on real-time data analysis that is done by the gen-AI system. Unlike humans, or non-AI systems, gen-AI systems can combine data from various sources and provide useful insights to security professionals. This automation allows SOC teams to focus on critical prevention tasks and leave the administrative work to gen-AI. This approach improves the overall efficacy of the incident response process. Security Orchestration and Workflow Automation:  Cybersecurity teams perform many daily, routine tasks, like monitoring network traffic, scanning for vulnerabilities, and performing malware assessments. Gen AI automates these repetitive, manual tasks. It also handles them more efficiently, compared to human employees. This enables the organization to free SOC employees, so they focus on challenges that require human intervention. Dividing the work between Gen AI and human employees enables organizations to prevent burnout of their SOC team and get better overall security results. How Cyber Criminals Use Gen AI Criminals increasingly use Gen AI to generate more sophisticated attacks and larger scope of financial fraud. Malicious actors use these advanced technologies to create better and more believable content that would manipulate individuals and bypass traditional security systems. The following are samples for Techniques, Tactics, and Procedures (TTPs) that are used for cyberattacks: SMS and Phishing Campaigns: Criminals use AI to create convincing SMS messages and emails. By that, they make social engineering attacks like spear phishing and romance scams appear genuine to their designated targets, and hence more effective for scammers. AI-generated communications can be personalized, to increase the likelihood of victims falling prey to these scams. Fake Social Media Profiles: Gen AI makes it easy for hackers to create fictitious, authentic-looking social media accounts. Such fake profiles are used in scams called ‘confidence fraud’, where scammers trick victims into trusting them, often by portraying themselves as a loved one, friend, or expressing romantic interest.  Fake Identification: Criminals use AI to create fake profile photos, or even full identification documents. Then, they use these to give credibility to their fake personas. This tactic is used in identity theft and impersonation, for example. Voice Cloning: Gen AI can generate audio clips that impersonate voices of trusted individuals. You probably heard clips where famous politicians or celebrities are presumably saying things they never did. In a similar way, hackers create “vishing” campaigns (short for “voice phishing”). This phishing attack uses phone calls to trick individuals into revealing sensitive information. Scammers generate voices that their victims know and would trust, like their boss or a business partner. The goal of such campaigns is typically to manipulate victims into authorizing financial transactions or providing sensitive information. AI-Generated Videos and Deepfakes: Like with the previous bullet, you probably saw multiple fake videos of politicians or celebrities. These AI-generated videos are called ‘deepfakes’ and can look very realistic. Their goal is to trick victims into believing that they are dealing with legitimate authorities, or with a business representative, when it comes to video calls. For example, in today’s competitive recruiting market, there have been reports about companies that received an influx of fake applicants, especially for IT roles, where the applicants used deepfake videos for video interviews (Zoom, for example). Once they pass the interview process and get hired – and there are multiple reports of such cases discovered retroactively – the scammers can get access into highly sensitive IT systems the organization has. Insider Threats: Attacks by external scammers are dangerous, but Gen AI can also be misused by insiders. Real employees may attempt malicious activities, such as creating false data, stealing data, or attempting financial fraud. The common denominator for all these is that the security breach attempts originate from within the organization’s network, not from the outside. But even loyal employees may be tricked into unintentional threat actors by cyber criminals. The latter have a large arsenal of TTPs that they can use, including trying to get employees to click on a Gen AI phishing email, or to be compromised by vishing or deepfakes. The result of these activities, whether intended by employees or being tricked by malicious actors, can lead to breaches of sensitive data or fraudulent financial transactions. A study on The State of Phishing 2024”, held by SlashNext, shows a dramatic increase in malicious emails activity. Since the launch of ChatGPT in late 2022, the study states a staggering surge of 4,151% in malicious emails. The same study showed that in the middle of 2024, there was an 856% increase in malicious emails in the previous 12 months. These numbers illustrate how common AI-generated attacks have become. As Gen AI technology continuously evolves, security teams must prioritize using Gen AI security defenses, to protect sensitive information and financial assets. The Importance of Security Teams Using Gen AI AI-powered attacks are becoming both more complex and widespread. Threat actors leverage AI to develop sophisticated attacks. As a countermeasure, security teams must also adopt gen-AI capabilities to maintain an advantage against threat actors. It’s becoming increasingly hard, even impossible, for security teams to protect against an ever-growing number of new security threats without using gen-AI themselves. Organizations must adopt AI-enhanced security tools that help their security teams fight against AI-based attacks. Cybersecurity teams in the future, and some already do that at present, include both human analysts and Gen AI security technologies. Such AI-based security tools allow the organization to scale safely, while also reducing manual efforts and human errors. The Gen AI Advantage for DevSecOps Generative AI can transform SOC and engineering teams by turning DevSecops from reactive to proactive. CISOs and GRC leaders must evaluate their governance and security frameworks and increase the adoption of DevSecOps that leverages Gen AI. Security leaders must also verify that new technologies comply with regulations and follow best practices regarding the usage of gen-AI. Implementing Generative AI in the SOC It is guaranteed that threat actors will continue to take advantage of AI and come up with increasingly sophisticated cyber threats. In response, organizations must integrate gen-AI into their security systems. This requires a balanced approach that prioritizes collaboration between technology and human expertise. It is crucial to select the right gen-AI provider, so that security teams can be effective and resilient when responding to new threats. Gen-AI enables the SOC to have improved visibility and response times, By leveraging fast technology and improving visibility and response times, thus strengthening the organization’s defenses and make it more secure against criminals who also use Gen AI. FAQ What Is Generative AI? Generative AI is a subset of artificial intelligence. It analyzes vast amounts of content and data, and “learns” from these. Then, when a user submits a query, the gen-AI system can generate new content, based on what it previously learned. The new content can be text, charts, images, audio, video, code, and more. What’s the difference between gen-AI and traditional AI? Traditional AI systems primarily analyze historical data, with the goal of forecasting a future outcome. This is used for weather forecasting, financial modeling, voting patterns, and more. Generative AI, on the other hand, focuses on creating new content, based on patterns it learned from existing data it previously analyzed. How can Gen AI improve threat detection? Gen AI-based threat detection analyzes huge datasets and looks for anomalies. The Gen AI system knows what normal operations look like, and these make the vast majority of operations in the datasets it reviews. Once the Gen AI finds an anomaly, it flags it for further inspection. The trick is that gen-AI does all that in incredible speed, literally in real-time, which enables organizations to quickly respond to incidents, and hence reduce the chance of a security breach. Which attacks can Gen AI help prevent? Gen AI is effective against attacks that require analyzing huge amounts of data, or traffic patterns. Then, the AI system flags out anomalies, which are suspicious activities. These attacks include data exfiltration, phishing, malware, and automated social engineering.  Are there any ethical considerations for using Gen AI in cybersecurity? Yes, there are ethical considerations to investigate when implementing a Gen AI system for cybersecurity. These include data privacy, algorithmic bias, and also the potential for misuse by adversaries. Organizations should establish clear policies and governance frameworks, to make sure they use Gen AI in a responsible manner, both respecting ethical guidelines and complying with regulations. Will Gen AI change cybersecurity?  How? This is not a futuristic question, but something that’s already happening at present. Gen AI is already changing cybersecurity. Threat actors leverage Gen AI to launch increasingly sophisticated and larger attacks. In response, organizations must also invest in AI-powered cybersecurity systems, to give their security teams a fighting chance against cyber criminals. Gen AI cybersecurity tools anticipate emerging threats, while making the job of human analysts much easier – all with the goal of improving the organization’s overall security posture and prevent breaches.   --- ## What Is Data Exfiltration | Detection & Prevention Techniques? URL: https://www.anzenna.ai/what-is-data-exfiltration-detection-prevention-techniques/ Type: post Modified: 2025-05-07 When they go to work on any given Tuesday morning, bank employees are not usually expecting a robbery. But, just in case, banks are prepared with multiple layers of security.  Their security would be incomplete if they just focused on keeping bad guys out; they also need systems in place to make it harder for anyone (even their own employees!) to steal the money. Cybersecurity is not all that different. If a data breach is a bank robbery where intruders take control of the bank lobby, data exfiltration is when they access the vault to take your Cloud jewels. Thankfully, with the right tools and systems in place, data exfiltration is preventable and your data can remain safely locked away from the morally bankrupt among us. What is Data Exfiltration? When cybercriminals successfully infiltrate – or gain unauthorized access to your sensitive data – they have breached the network. Data exfiltration is when an unauthorized person steals data from the original, compromised device and puts it onto the attacker’s device. This form of theft may happen by removing, moving, or copying data from a computer, mobile device, server, IoT device, cloud storage, printer or scanner, or other data-storing environment. Data Exfiltration Meaning The simplest way to understand data exfiltration is to look at the definition of the term “exfiltrate,” including the way it is used in other settings. To exfiltrate is to remove, and it is commonly used in a military context to discuss a secret or clandestine removal of troops or spies. If you visualize spies fleeing into the night on a stolen speedboat, carrying top secret information with them, then you’re thinking of a less-action packed instance of what would happen if your data were exfiltrated. An adversary stealthily steals information they are not intended to have and then uses it for ill-gotten gain. Data Exfiltration Techniques There are several common ways bad actors attempt to exfiltrate data: Social engineering, including phishing You are probably already familiar with phishing and social engineering. In these attacks, a bad actor is a wolf in sheep’s clothing and poses as a safe, trusted party. Then, they ask for login credentials or other information that will allow them easy access to sensitive information. In an exfiltration, a bad actor would use their unauthorized access to copy or move sensitive data to servers or device storage they control. Malware Potentially as a result of social engineering, or possibly through a more direct cyberattack, a bad actor will attach unauthorized and compromised software that controls or gives them access to your data. It may go undetected for some time, leading to malware scanning for and extracting desired information that then ends up in the hands of the bad actor. Exploiting vulnerabilities If members of your organization use weak passwords (we’re looking at you, “password123”), don’t update their hardware or software with appropriate patches, or misconfigure either cloud storage or servers, it can act as the equivalent of leaving the front door unlocked. A bad actor utilizes one of these open doors to access sensitive information, or possibly to plant malware, that will then offer the opportunity they need to exfiltrate sensitive data. Insider threats We all want to believe the best about our colleagues, but insider threats are a reality. Employees, whether disgruntled, financially-motivated, or careless, may aid in data exfiltration. For instance, they might email sensitive data to unauthorized parties, remove information from work-use storage devices, deliberately grant a bad actor access to internal servers, use personal devices for work purposes (or vice-versa), or otherwise create some of the vulnerabilities discussed above. Data Exfiltration Prevention The best ways to prevent data exfiltration are 1) to keep bad actors out of your sensitive networks, servers, and devices and 2) to understand the way authorized users are accessing and using your data. The right employee education, monitoring tools, and security protocols can go a long way to prevent data breaches and data exfiltration. Here are a few ways organizations can actively prevent data exfiltration: Prevent phishing – Train your workforce to understand the signs that an email may be a phishing or social engineering ploy. For those tough-to-recognize threats, it also helps to have an AI-driven email security solution that looks for patterns and potential risks most humans would miss. Back up your data – If your data is regularly backed up in secure storage environments, then your organization can quickly restore it in the event of a successful data theft. It won’t prevent bad actors from using what they have already stolen, but it will help to reduce the impact. Use encryption – Your data is constantly on the move. If you use encryption, then bad actors intercepting messages and data traveling between devices and storage environments will be less likely to be able to use it. Deploy a DLP strategy – DLP stands for “data loss prevention.” While they are not a standalone solution, a DLP tool can help to identify and classify sensitive information and either encrypt or block it so it can’t be sent, stolen, or accessed. Define and maintain AI boundaries – A lot of generative AI tools are not secure, and your workforce may be uploading your sensitive data into unprotected environments. Create expectations for AI use and act to secure the AI tools your teams are using. Focus on culture – Your colleagues are (usually) allies, not threats. When you make sure they have the right information about data compliance, risk, and best practices, most people will want to be a part of the solution.  Data Exfiltration Detection And now comes the harder part. If data exfiltration can be tough to prevent, then it is often even harder to detect. In order to successfully make it past so many intelligent, proactive people (who have often been aided by AI), bad actors are very sneaky. Organizations don’t always know data has been stolen until it has been weaponized against them, their customers, or their vendors. That’s why a data exfiltration detection strategy is essential. A sound detection strategy will tell you: What users are up to with your data. If you track when and how data is being accessed, downloaded, or uploaded, then you can be on the hunt for irregular behavior. How employees are using email and applications. If you are monitoring sends to unfamiliar or suspicious accounts, unauthorized integrations or APIs, collaboration apps, and how employees use the cloud, then you can flag anything fishy for further investigation. Who is logging in to what and from where. If you see logins popping up from unfamiliar devices, or activity that looks like an attempt to access secure content, then it’s time to dive deeper. Anzenna Detect offers complete visibility in all of these areas and more. Our holistic data movement view and channel tracking show you everything you need to see in one spot. AI-powered pattern detection and actionable context flag suspicious activity, fill in the gaps, and aid in quick, risk-based remediation. Data Exfiltration FAQ’s What is data exfiltration in cybersecurity? Data exfiltration is when a bad actor intentionally steals sensitive data. It is different from a breach or a leak, which just means outside parties have gained unauthorized access to your data. How do you prevent data exfiltration? The best defense is to make sure users are following your data security processes. Have tools and solutions in place that monitor their activity – including the movement and access of data and files across devices and the cloud – to have a better idea of where your data is headed and into whose hands. How much does data exfiltration cost?  This is a tricky one. It’s hard to isolate the act of exfiltration from other costs associated with a major data breach. However, we know that the average breach costs millions of dollars. Data exfiltration also results in a loss of trust and significant reputational harm. I have a firewall and antivirus protection. Is that enough to keep my data safe? A firewall and antivirus solution can help to prevent exfiltration by keeping bad guys off of your network and helping to fight malware once it’s in place, but tools that rely primarily on blocks can’t help you when the users or specific activities are (or appear to be) authorized.  You need to take it a step further and have visibility and monitoring into even those activities which are allowed but risky. That’s where Anzenna really shines. Bringing It All Together  Detecting and preventing data exfiltration is a complicated business. With so many possibilities for unintentionally-created vulnerabilities, and instances of authorized use gone awry, it’s not enough to rely on traditional defenses. With the right visibility, and the smarts to know what you’re looking for, your team can spot suspicious or irregular behavior that can tip you off that your important information is at risk. The sooner you know, the sooner you can act to lock it down and keep the spies, bank robbers, or any other analogous bad actors from riding into the sunset with your customer’s data and trust. --- ## What is Insider Risk and How to Manage It URL: https://www.anzenna.ai/what-is-insider-risk-and-how-to-manage-it/ Type: post Modified: 2025-05-07 When most people think about cybersecurity they picture hackers breaking into networks from some far-off location. But what if the real risk is much closer to home? In fact, some of the biggest security threats companies face today come from inside. Not necessarily from people with bad intentions, but often from simple mistakes, negligence, or small oversights that spiral into big problems. This is what we call insider risk. And if you don’t have a clear plan for managing it, you could be leaving your organization wide open.   Let’s take a closer look at what insider risk actually means and how it’s different from insider threats and what you can do to stay protected.  What Is Insider Risk?  Insider risk happens when people inside your organization – employees, contractors, vendors, or partners – accidentally (or intentionally) create a situation where sensitive data systems or operations are exposed to harm.  The key thing to understand is that insider risk doesn’t always mean someone’s being malicious. More often than not, it’s about carelessness. Someone might send a confidential document to the wrong email address. Or they might upload sensitive customer information to their personal cloud storage without realizing the risks.  It’s not about “bad people” – it’s about good people making bad decisions. Insider Risk vs. Insider Threat  You might hear insider risk and insider threat used interchangeably, but they are not quite the same. Insider risk: the potential for something bad to happen because of someone’s actions or mistakes. Insider threat: when someone or something intentionally acts to cause harm. Think of it like this: forgetting to lock your front door is insider risk. But someone walking through that door and stealing your stuff is insider threat.  Both matter. But insider risk is more broad and often harder to detect because it doesn’t necessarily look like an attack.  How Insider Risks Slip Through the Cracks  You might have all the right tools—firewalls, password policies, compliance training—and you still find yourself facing an insider incident. Why? Because insider risks don’t always set off alarms.  Take an employee working late. They transfer customer records to a personal email so they can finish up at home. Innocent intention, dangerous move. Or a contractor who’s given broad access “just in case” — and ends up leaking proprietary data. These things happen when processes aren’t airtight and assumptions are made.  And the problem isn’t always tech related. Sometimes it’s cultural. Maybe people feel too rushed to double-check details. Maybe no one wants to speak up when something seems off. Or maybe security feels like a check-the-box thing instead of a shared responsibility. The key is staying humble. Even well-meaning teams overlook things. Building a culture that expects the unexpected and is prepared to respond makes all the difference. Why Managing Insider Risk Matters Here’s the thing: insider risks are everywhere. And the consequences of ignoring them can be devastating.  Financial losses: data breaches caused by insiders can cost millions in fines, legal fees and lost business. Regulatory trouble: industries like healthcare, finance and tech are under strict compliance laws. Drop the ball and you face serious penalties.  Reputation damage: Losing customer trust is sometimes even harder to recover from than losing money.  Business disruption: Data leaks, IP theft, and system sabotage can bring operations to a halt.  Managing insider risk isn’t just nice to have. It’s critical for survival. The Cost of Getting It Wrong Insider risks can feel small at first. A misplaced file. An account left active after someone quits. A quick download of sensitive data, just in case. But these small moments can snowball into major problems, and when they do, the cost hits fast and hard. There’s the immediate cleanup: investigating what happened, who was affected, and how far the damage spread. That alone can soak up weeks of time and resources. There are even legal implications, especially if customer data or trade secrets are involved.You may have to notify stakeholders, deal with regulatory blowback, or even face lawsuits.  But even when the issue stays in-house, the loss of trust internally is real. Teams get more cautious, workflow slows down, and morale takes a hit. Add in the cost of rolling out stricter controls after the fact, and the disruption to day-to-day work, and suddenly the harmless mistake doesn’t feel so harmless.  The truth is, most insider risks come after the incident. That’s why catching them before they escalate isn’t just smart security – it’s smart business. Why Insider Risk Is a Leadership Issue Insider risk isn’t only about data – it’s a blind spot leadership can spotlight. That’s because the way people handle data, follow policies, and respond to risk is shaped by what they see from the top. If leaders take security seriously, their teams are far more likely to do the same. If leadership waves off security practices as red tape, those habits trickle down.  Managing insider risks means creating a culture where security isn’t an afterthought. That starts with leaders who make thoughtful access decisions, ask questions about how data is handled, treat mistakes as learning moments, and do not play blame games. It also means making sure security and productivity aren’t seen as opposites. Good leadership builds systems where people can do their jobs efficiently, while still protecting what matters.  The goal isn’t to make people paranoid. It’s to make security part of how the business runs, everyday. That only works when it’s coming from the top. How to Manage Insider Risk Effectively   Insider risk management is not just about data access.    Identify Your Critical Data Know what is truly important – intellectual property, customer data, financial information. Focus your protection efforts here.  Implement least privilege access  Give employees and contractors only the access they need – nothing more. Review access permissions regularly.  Monitor user activity  Use tools to track abnormal behavior like accessing large amounts of data late at night.  Provide ongoing training  Make cyber security awareness part of your culture. Train employees to recognize phishing scams, safe data practices, and the why behind security policies.  Create clear policies and enforce them  Document your expectations around data. Use device management and information sharing. Then back them up with consequences for violations. Prepare for incidents  Have a response plan ready when something goes wrong. The faster you can react, the less damage done.  Pro Tips for Building a Resilient Culture    Managing insider risk isn’t just about technology. It’s about people.  Promote trust, not fear. Employees should feel comfortable reporting mistakes or suspicious activity without fear of retaliation. Reward good behavior. Recognize teams or individuals who follow security best practices. Communicate constantly. Make cybersecurity part of everyday conversations, not just something you talk about once a year during training.  Insider Risk Is Everyone’s Job It’s easy to assume that insider risk is the responsibility of IT or security teams. But in reality, it shows up in everyday behavior, across every department, role, and level of access. That’s why managing it requires a shared sense of ownership.  Insider incidents don’t ignite with insidious intentions. They start with little moments: a rushed decision and overlooked detail or shortcut that seemed harmless. When everybody on the team understands that their actions affect the organization, security risk becomes easier to spot and stop.  To build that kind of awareness focus on:  Encouraging questions – normalize asking things, e.g., Is it okay to send this externally? Normalizing check-ins – remind people that it’s better to double check than to assume  Rewarding caution – recognize people who pause and do the right thing even when it takes extra time.  Making reporting safe – ensure that if someone sees something off, they know they won’t be punished for speaking up. Security isn’t a separate function. It’s part of how work gets done. The more every employee sees their role in protecting data, the less likely it is that the small risks turn into serious problems. FAQ: Insider Risk and Insider Threats    What exactly is insider risk anyway?  Insider risk is all about the possibility that someone inside your organization could accidentally or intentionally put your sensitive data at risk. It’s often about good people making bad decisions.  Wait, how’s that different from insider threat?  Risk is potential; threat is action. Risk is leaving your front door unlocked. Threat is someone stealing your stuff. What are some real world examples of insider risk?  Sending sensitive files to the wrong person. Saving company data to a personal device. Or reusing weak passwords that have been stolen.  How do companies spot insider risks before they turn into disasters?  It’s a mix of smart technology, training, and paying attention. Monitoring tools help, but teaching employees to recognize red flags is just as important. Why is insider risk? Such a big deal right now?  Because work is more decentralized than ever. Remote employees, cloud apps, and constant data sharing make it harder to control who touches what — and easier for mistakes to happen.  Bringing It All Together  Insider risk management isn’t about disrupting your people. It’s about creating an environment where both your team and data stay protected.  By putting smart systems, policies, and culture in place, you’re not just reducing risk — you’re setting your business up for more resilience in an unpredictable world.  Remember: the threats outside your walls are out of your control. But the ones inside? Those are the ones you can actually do something about. --- ## What is Cyber Security? The Different Types of Cybersecurity URL: https://www.anzenna.ai/what-is-cyber-security-the-different-types-of-cybersecurity/ Type: post Modified: 2025-05-07 Cybersecurity: A Portrait  (And why you’re standing too close) You lock the doors and they come down the vents. You patch the system and they phish your senior copywriter. You upgrade your firewall and someone shares a sensitive link in Slack.  Cybersecurity plays out across cloud platforms, remote teams, legacy infrastructure, and a revolving door of unknown adversaries. It’s not only about protecting your data — it’s about managing risk, optimizing operations, reinforcing resilience, and defending trust and as much about strategy as it is software. And it never, ever stands still. If you feel like you’re trying to solve each alert, incident, and each new compliance request — take a step back. Cybersecurity today isn’t one problem — it’s a series of perpetually shifting jigsaw puzzles. Pick up the pieces you’re missing. Seven Cybersecurity Pillars How not to get owned in 2025. Tenets that should live rent-free in your head.   01 Network Security  Firewalls, DLPs, NGFW, IPS, NAC. Attackers don’t give a **** about your acronyms. These cybersecurity solutions are meant to prevent unauthorized access, filter traffic, and enforce web policies but threats slip in looking like legit users. That’s where deep visibility matters – without behavioral insights and anomaly detection, you’re only scanning the surface. 02 Cloud Security  With more data in the cloud than ever before, cloud security has become one of the most critical types of cyber security. Misconfigurations, identity gaps, and shadow IT create open doors for cybersecurity threats. You need third-party solutions that actually secure data in motion, at rest, and in use. 03 Endpoint Security  Every laptop, tablet, and rogue USB drive is a front line that needs back-up when your workforce operates wherever there’s access to a hotspot and HubSpot. Proper endpoint security begins with real-time monitoring, response capabilities, and building resilience from the device up. 04 Mobile Security  Phones are miniature platinum mines of corporate access — portable, personal, and perilous for an attack surface fitting in your pocket with a panoramic blast radius spanning your whole organization. Cybersecurity requirements for mobile environments include MDM, threat detection, anti-phishing, and protection from IM-based attacks.  05 IoT Security  The rise of smart devices introduces new types of cybersecurity threats — especially when they connect to your network without your knowing. Think HVACs, cameras, even lightbulbs. They don’t come with strong security defaults, making proactive IoT monitoring critical.   06 Application Security Web and mobile apps are a favorite target for hackers. OWASP Top 10 threats like injection attacks, cross-site scripting, and broken authentication are common cyber security threats. Application security needs to scale with DevOps — meaning automated testing, runtime protection, and API visibility.   07 Zero Trust  Never trust, always verify. Every login, request, and data access is suspect until proven safe. It’s not post-modern paranoia. It’s modern architecture. And it’s the only way to meaningfully secure remote, hybrid, and cloud-native environments.   Threats Have Evolved (Have You?) Gen I-V Malware: From floppy-disk curiosities to enterprise-scale ransomware rings, malware is now swifter, stealthier, and sharper than ever. AI-powered malware isn’t a Black Mirror episode – it’s today.  Phishing: It’s no longer typo-addled Nigerian princes. It’s near-perfect fakes with your CEO’s face and your brand’s favicon. Business Email Compromise (BEC) is big business built on little blunders. Supply Chain Attacks: Your software is only as secure as the weakest vendor with access. Think SolarWinds, Kaseya, and every single SaaS tool that integrates with everything else. Zero Trust isn’t optional here. Insider Risk: Not every threat actor plays Fortnite in his mom’s basement. Some wear company badges. Some accidentally send files to the worst person imaginable. Some leave sensitive IP behind because no one revoked access. Risk isn’t always a red alert. Sometimes it’s a calendar invite for a zero-sum game. Ransomware & RaaSRansomware-as-a-Service has lowered the barrier to entry for cybercrime. Now, even amateurs can deploy sophisticated payloads. It’s not just encryption anymore — it’s data theft, public shaming, and operational blackmail. Brand ImpersonationBad actors spoof your domain, site, and look-and-feel, duping your customers and ruining your reputation. This isn’t only a phishing problem. It’s a trust crisis. Less Tools. More Tactics.  Everyone has a firewall, endpoint tool, SIEM, DLP, CASB, and AI that scolds the interns. But none of it helps if those tools don’t talk to each other — or worse, drown your team with noise while the real risks go undetected. Cybersecurity stacks are often cobbled together with a tool for every threat vector, a dashboard for every team, and a seemingly neverending log stream. But what happens when those tools don’t communicate or worse –– contradict each other? Security teams end up burning cycles chasing false positives and sifting through siloed systems. Detection doesn’t equal protection. Especially when alerts arrive in bulk with no context, prioritization, or clear path to remediation. Visibility isn’t about volume — it’s about correlation. And correlation requires integration. Without that, every tool is just another torrential scream in the void adding to the cacophony of security fatigue: Analysts overwhelmed with dashboards. Engineers frustrated by gaps. Executives unsure what’s actually working.  All equating in delayed responses, missed threats, and an eroding sense of trust in the security apparatus itself. Consolidation matters. Clarity matters more. Where Anzenna Fits In We made Anzenna Detect for this world — not the 2005 threat model your legacy tools still cling to. Experience: Total transparency into user behavior across apps, channels, and devices Contextual AI-powered risk scoring – not mindless alerting Sound policy enforcement without disrupting your people A real chance to spot insider risk and exfiltration before it becomes an incident   Cybersecurity FAQ What is cybersecurity? Cybersecurity is the practice of protecting systems, networks, and data from unauthorized access, damage, or disruption. It covers everything from firewalls to culture. Why is cybersecurity more complicated now? The rise of cloud, remote work, BYOD, AI tools, and increasingly sophisticated threats means organizations face more attack surfaces than ever before. What’s the difference between a breach and an exfiltration? A breach means someone got in. Exfiltration means they took something out. One is a nightmare. The other is worse. Do I really need Zero Trust? If your users, data, and apps are everywhere, then yes. Zero Trust helps ensure every access request is checked, regardless of location or device. Can AI actually help in cybersecurity? Absolutely. AI can spot patterns, flag anomalies, and surface real threats in oceans of noise. The trick is using it intelligently — like Anzenna Detect does. Is employee training enough? It’s necessary but not sufficient. Combine awareness with monitoring, smart tooling, and a culture of accountability. What makes Anzenna Detect different? It connects the dots between user behavior, context, and risk — across apps and platforms. It doesn’t just tell you something happened. It shows you what to do next. The Risk Is Real. The Response Is Anzenna. You can’t afford to rely on a fortress mentality when the battlefield is everywhere. The definition of cybersecurity now includes cultural resilience, rapid response, and proactive visibility. It also requires a new mindset: that cyber defense isn’t an IT issue – it’s a business priority. The threats don’t just impact data – they touch revenue, brand reputation, operational continuity, and customer trust.  Modern cybersecurity must operate on two fronts: strategic and tactical. Strategically, organizations need to define what assets matter most, who can access them, and how that access is monitored and revoked. Tactically, they must react to incidents in real-time, shut down active threats, and continuously learn from past mistakes. That means your security posture can’t be static. It must evolve as your environment, users, and threatscape changes. And it has to do it without exhausting your teams or overwhelming your systems. With solutions like Anzenna Detect, businesses can build a unified security experience that empowers teams instead of burdening them. You don’t need to be perfect – you need to be ready. Ready to detect, respond, and adapt. That’s what separates companies that suffer breaches from those that prevent them. Build a foundation that helps you see what’s coming, understand what’s happening, and respond like it actually matters. Take that step back. Now surge your cybersecurity forward with Anzenna. --- ## Careers URL: https://www.anzenna.ai/careers/ Type: page Modified: 2025-05-07 Excited to Welcome New Creatives to Our Team! At Anzenna, our vision is simple yet bold: to empower employees and make them the most secure and resilient part of any organization. We’re building a modern security platform that unites the three pillars of cybersecurity — people, process, and technology — into one cohesive solution. Designed with empathy, built for accessibility, and tailored for the employee experience, Anzenna transforms every team member into an active defender against human-centered breaches. Our Vision is to turn employees into the strongest link in Cybersecurity People-first Security We’re reimagining cybersecurity from the ground up — not just for CISOs and IT teams, but for the whole organization. Built by Experts Our founding team brings 45+ years of combined experience from industry leaders like LinkedIn, Google, Yahoo, Atlassian, and Sophos. Empathy Drives Us We believe that empathy is core to building effective teams and secure organizations. It shapes not only our product but also how we work together every day. Software Engineer Location: Redwood City, San Francisco Bay Area View Details View Details You will be at the heart of our engineering team building our platform that embeds security into everyday workflows. What you’ll work on Own, build, scale and maintain a significant portion of our platform, including backend services and customer facing APIs Work directly with customer feedback and quickly ship features Drive continuous engineering excellence by owning scaling, quality and security hardening What you bring Experience in developing in Go. Experience in PostgreSQL or equivalent Comfortable with cloud infrastructure (one of AWS/Azure/GCP) Good written and communication skills Strong team player, compassionate, self driven to work independently regardless of physical location Strong interest in security and usability Passion about our vision Bonus points for Prior experience building security features into products and services Why you should join Anzenna Become an early and key part of our journey to reinvent security Want to grow and learn significantly faster with support from the founding team Solve practical challenges in the security industry with modern approaches We are an early stage startup where we trust each other to get things done We’re backed by some of the best investors and practitioners Apply Now --- ## Anzenna X CrowdStrike integration URL: https://www.anzenna.ai/integrations/anzenna-x-crowdstrike-integration/ Type: page Modified: 2025-05-06 Anzenna X CrowdStrike Empower Your Team with AI-powered Insights and Rapid Remediation Anzenna is a modern AI based platform that integrates directly with CrowdStrike. It applies Agentic AI to enrich endpoint data with user and application context, risk scoring, 
 and automated response capabilities—giving security teams the full picture behind suspicious behavior CrowdStrike Falcon is an industry-leading EDR platform delivering comprehensive visibility across endpoints. It provides real-time threat detection, prevention, and response—powered by threat intelligence and behavioral analytics trusted by enterprises worldwide Anzenna X CrowdStrike Empower Your Team with AI-powered Insights and Rapid Remediation Anzenna is a modern AI based platform that integrates directly with CrowdStrike. It applies Agentic AI to enrich endpoint data with user and application context, risk scoring, 
 and automated response capabilities—giving security teams the full picture behind suspicious behavior CrowdStrike Falcon is an industry-leading EDR platform delivering comprehensive visibility across endpoints. It provides real-time threat detection, prevention, and response—powered by threat intelligence and behavioral analytics trusted by enterprises worldwide How Anzenna + Crowdstrike Work Together? The Anzenna and CrowdStrike integration delivers real-time, contextualized insight into insider threats across your organization’s endpoints—without deploying new agents 
 or infrastructure. CrowdStrike provides world-class endpoint telemetry, detecting behavioral anomalies 
 and emerging threats, while Anzenna enriches that data 
 with identity context, historical user behavior, application risk, and automated remediation. Together, they help security teams prioritize and act 
 faster—flagging high-risk users, unknown apps, 
 or suspicious behaviors, and responding immediately 
 with precision The Problem Endpoints are often where insider threats begin—
 through risky app usage, credential theft, or lateral movement. But without broader context, even the best endpoint protection can miss the human element behind the breach. Who’s behind the activity? Has this user or device exhibited risky patterns before? Is the behavior normal? Security teams lack that context and are overwhelmed with alerts, siloed data, and slow investigation workflows, leaving organizations exposed to internal threats. That’s where Anzenna comes in Key Challenge Gaps in user-to-endpoint visibility and risk attribution Difficulty contextualizing threat telemetry with identity, behavior, and application data Reactive instead of proactive remediation Manual workflows that slow down the response Disconnected sources of truth across EDR, HR, identity, and app systems Anzenna + Crowdstrike Integration Gain the full picture by combining endpoint telemetry with context-rich,identity-centric risk intelligence. Anzenna brings intelligent prioritization and automated remediation to CrowdStrike alerts—empowering teams 
 to act faster and reduce risk with confidence. Request a Demo Try Now The Solution Anzenna’s CrowdStrike integration empowers you to uncover and act on the true source of insider risk. 
 No agents. No silos. Just real-time insights and intelligent response built on trusted EDR telemetry Holistic Visibility Link users to devices, applications, 
 and behaviors in real-tim Understand the “who” & “what” behind every endpoint signal Seamless Integration Integrates via secure CrowdStrike 
 APIs—no new agents needed Enterprise-ready: SOC2 Type II certified, 
 Microsoft 365 pentested Intelligent Risk Scoring Identify risky applications, usage patterns, 
 and abnormal behavior Score risk using app provenance, 
 developer history, and user trends Automated Remediation Trigger actions via CrowdStrike’s native 
 API—quarantine, isolate, or alert Stop risk at the source without deploying new tools Actionable Insights View unified data from CrowdStrike, Identity, 
 HRIS, and more Prioritize insider threats with intelligent recommendations and workflows Automated Remediation Source code Exfiltration Data Exfiltration Risky Software and Applications Installed --- ## Anzenna X JAMF integration URL: https://www.anzenna.ai/integrations/anzenna-x-jamf-integration/ Type: page Modified: 2025-05-06 Anzenna X JAMF Empower Your Team with AI-powered Insights and Rapid Remediation Anzenna is an agentless Insider Risk Management platform that integrates seamlessly with Jamf. Using advanced Agentic Al, Anzenna fills critical gaps in visibility, maps users to devices, and enriches application data with risk scoring and automated remediation workflows-no agents required. Jamf delivers authoritative, real-time data about devices across your organization. Its secure, scalable platform provides a rich source of telemetry-trusted by security teams wolrdwide to manage device posture without compromise. Anzenna X JAMF Empower Your Team with AI-powered Insights and Rapid Remediation Anzenna is an agentless Insider Risk Management platform that integrates seamlessly with Jamf. Using advanced Agentic Al, Anzenna fills critical gaps in visibility, maps users to devices, and enriches application data with risk scoring and automated remediation workflows-no agents required. Jamf delivers authoritative, real-time data about devices across your organization. Its secure, scalable platform provides a rich source of telemetry-trusted by security teams wolrdwide to manage device posture without compromise. How Anzenna + Jamf Work Together? By combining Jamf’s trusted device data with Anzenna’s intelligent risk analysis, organizations gain a powerful, centralized view of insider threats. Jamf delivers real-time insights on device and application status, while Anzenna enriches that data with context- such as app provenance, app usage, user-device mapping, and historical risk indicators. Once risks are identified, Anzenna uses Jamf’s native agent to take action immediately: quarantining devices, removing high-risk applications, or updating security policies-all without installing anything new. This seamless collaboration allows security teams to move faster, prioritize smarter, and reduce risk more efficiently. The Problem Modern organizations face an ever-evolving threat landscape, especially from within. Insider risks, whether from misconfigured devices, unvetted applications, or high-risk user behaviors, often go unnoticed-until it’s too late. Security teams struggle with fragmented data, limited visibility, and time-consuming remediation processes that slow down response time and increase exposure. Key Challenge Limited visibility into user-device and app relationships Difficulty identifying high-risk applications or behaviors Slow, manual remediation processes Disconnected security tools and data silos Compliance concerns around app licenses and usage. Anzenna + JAMF integration Gain a unified view into your organization’s risk posture by combining trusted device telemetry with intelligent, Al-powered insights. This integration reveals hidden vulnerabilities, prioritizes threats, and enables fast,effective responses without additional infrastructure. The result is smarter security that scales with your environment— agentless, automated, and always actionable. Request a Demo Try Now The Solution Anzenna and Jamf give you the power to rapidly see and stop insider threats.No agents. No blind spots. Just smart, secure, scalable risk management. A unified view into your risk posture, powered by trusted telemetry and actionable Al. Holistic Visibility Gain a 360° view of all users, devices, and applications Automate the detection of missing data and enrich mappings with Agentic Al Seamless Integration Set up in minutes using secure Jamf Pro API credentials SOC2 Type II certified and Microsoft 365 pentested for enterprise trust Risk Scoring & Categorization Understand app provenance, developer history, and breach records Assign built-in Risk Scores to applications and user behaviorApp Usage Rapid Remediation Trigger one-click actions via the Jamf agent- disable, quarantine, or update Minimize risk without introducing new agents or complexity Actionable Insights View data from Jamf, Identity, HRIS, and EDR tools in a single dashboard Prioritize threats and respond faster with intelligent recommendations --- ## Data Sheet URL: https://www.anzenna.ai/case-studies/datasheet/ Type: page Modified: 2025-05-01 Anzenna DataSheet Download File Put your Enterprise Security on auto-pilot with the Anzenna Platform Your one-stop shop for comprehensive coverage and automated remediation without the overhead of agents. Safeguard Data Safeguard sensitive data, prevent accidental and malicious insider breaches Value in Minutes Deploy and operate in minutes with no agents and no additional security staff Consolidate Tools Consolidate IRM, UBA and SaaS security into a single platform --- ## Blazers Event Houston URL: https://www.anzenna.ai/houston/ Type: page Modified: 2025-04-29 Indochino​ | 26 March 2025, 5:30-8:30pm Blazers & Bourbon Join Anzenna and Arms Cyber for an Evening of Insightful Discussions, Networking, and a Complimentary Tailored Blazer from Indochino. Join Now The Galleria 5085 Westheimer Rd. Houston, TX 77056 Wednesday, March 26th, 5:30 PM – 8:30 PM The Galleria 5085 Westheimer Rd. Houston, TX 77056 Wednesday, March 26th, 5:30 PM – 8:30 PM The Galleria 5085 Westheimer Rd. Houston, TX 77056 Wednesday, March 26th, 5:30 PM – 8:30 PM The Galleria 5085 Westheimer Rd. Houston, TX 77056 Wednesday, March 26th, 5:30 PM – 8:30 PM Houston The Galleria 5085 Westheimer Rd. Houston, TX 77056 Wednesday, March 26th, 5:30 PM – 8:30 PM The Galleria 5085 Westheimer Rd. Houston, TX 77056 Wednesday, March 26th, 5:30 PM – 8:30 PM The Galleria 5085 Westheimer Rd. Houston, TX 77056 Wednesday, March 26th, 5:30 PM – 8:30 PM The Galleria 5085 Westheimer Rd. Houston, TX 77056 Wednesday, March 26th, 5:30 PM – 8:30 PM Houston Reserve your spot here Join us for an exclusive evening of networking and insightful discussions at the Blazers & Bourbon Executive Mixer, hosted by Anzenna and Arms Cyber. This unique event, held at Indochino, is designed for cybersecurity leaders looking to explore new insights, share expertise, and in a relaxed, professional setting. All attendees will receive a complimentary personalized blazer from Indochino, ensuring not only an evening of great conversation but also a tailored takeaway to remember the event by. Space is limited, and attendance is reserved for senior-level executives in the cybersecurity industry. Please RSVP to secure your spot.  Why you should attend: Connect with fellow cybersecurity executives and thought leaders in an intimate, inviting environment. Discover innovative approaches to tackling today’s top cybersecurity challenges shared by peers and industry experts.   By clicking “Request an invite”, I consent to the processing of my contact information by Anzenna and any co-hosts of the event, including contacting me. I acknowledge that Anzenna will use and keep my contact information for as long as necessary for these purposes in accordance with its Privacy Notice Request an invite About Our Event Host Ganesh Krishnan Co-Founder and CEO Ganesh, Co-Founder and CEO of Anzenna, is a seasoned security practitioner and technology leader with over 25 years of experience. Before founding Anzenna, he was an EIR (Entrepreneur In Residence) at 8VC and VP of Engineering at Sophos, which acquired his startup, Avid Secure. Previously, he served as CISO at Atlassian and LinkedIn, where he also led Privacy Engineering and bootstrapped the LinkedIn India Technology Center. Ganesh was VP of Information Security and CISO at Yahoo! Inc. He holds a Master’s in Computer Science from Purdue University. Dennis Dayman Chief Information Security Officer Dennis Dayman is the Chief Information Security Officer at Constant Contact, bringing over 30 years of experience in combating online abuse, privacy/security challenges, and data governance issues. He has led global risk and compliance, security operations, and incident response at several organizations including Code42, Proofpoint, Return Path, and Eloqua (acquired by Oracle in 2012). Dayman was appointed to the U.S. Department of Homeland Security’s Data Privacy and Integrity Advisory Committee and serves as a U.S. Delegate to the International Organization for Standardization (ISO). He also sits on multiple industry boards, advises emerging tech companies, and frequently invests in startups, leveraging his extensive expertise in data protection and cybersecurity. --- ## Blazers Event San Francisco URL: https://www.anzenna.ai/rsa2025/ Type: page Modified: 2025-04-29 April 29, 2025 | 5:00-9:00pm Blazers & Bourbon After a busy day at RSA Conference 2025, take a break and join us for Blazers & Bourbon – the ultimate evening of relaxation and networking. Hosted by Anzenna and Movate.  All guests will receive a complimentary custom-fitted blazer. Join Now 61 Post St, San Francisco, CA 94104 Tuesday, April 29th, 5:00 – 9:00 PM 61 Post St, San Francisco, CA 94104 Tuesday, April 29th, 5:00 – 9:00 PM 61 Post St, San Francisco, CA 94104 Tuesday, April 29th, 5:00 – 9:00 PM 61 Post St, San Francisco, CA 94104 Tuesday, April 29th, 5:00 – 9:00 PM 61 Post St, San Francisco, CA 94104 Tuesday, April 29th, 5:00 – 9:00 PM 61 Post St, San Francisco, CA 94104 Tuesday, April 29th, 5:00 – 9:00 PM 61 Post St, San Francisco, CA 94104 Tuesday, April 29th, 5:00 – 9:00 PM 61 Post St, San Francisco, CA 94104 Tuesday, April 29th, 5:00 – 9:00 PM 61 Post St, San Francisco, CA 94104 Tuesday, April 29th, 5:00 – 9:00 PM 61 Post St, San Francisco, CA 94104 Tuesday, April 29th, 5:00 – 9:00 PM 61 Post St, San Francisco, CA 94104 Tuesday, April 29th, 5:00 – 9:00 PM 61 Post St, San Francisco, CA 94104 Tuesday, April 29th, 5:00 – 9:00 PM 61 Post St, San Francisco, CA 94104 Tuesday, April 29th, 5:00 – 9:00 PM 61 Post St, San Francisco, CA 94104 Tuesday, April 29th, 5:00 – 9:00 PM 61 Post St, San Francisco, CA 94104 Tuesday, April 29th, 5:00 – 9:00 PM 61 Post St, San Francisco, CA 94104 Tuesday, April 29th, 5:00 – 9:00 PM 61 Post St, San Francisco, CA 94104 Tuesday, April 29th, 5:00 – 9:00 PM 61 Post St, San Francisco, CA 94104 Tuesday, April 29th, 5:00 – 9:00 PM San Francisco Unwind and Network After Day One of RSA After a busy day at RSA Conference 2025, take a break and join us for Blazers & Bourbon – the ultimate evening of relaxation and networking. Hosted by Anzenna and Movate, this exclusive event is designed for RSA attendees to connect, unwind, and enjoy a little something special. On the Tuesday night of RSA, head to the Indochino store at 61 Post St, San Francisco for an evening filled with custom-tailored fashion, premium bourbon, delicious food, and great conversation. Whether you’re looking to build connections or just enjoy a more laid-back evening with peers, Blazers & Bourbon is the perfect way to take a breather from the conference and set yourself up for the rest of the week. What to Expect: Made-to-Measure Indochino Fittings: Enjoy a personalized fitting for a complimentary blazer at the Indochino store. Our expert tailors will measure you and offer style advice to help you look your best. Bourbon & Craft Cocktails: Enjoy a curated selection of premium bourbons and handcrafted cocktails. Whether you’re a whiskey connoisseur or prefer a refreshing cocktail, there’s something for everyone. Gourmet Bites: Indulge in appetizers that pair perfectly with your drinks. From savory small plates to indulgent treats, there’s plenty to keep you satisfied as you mingle. Networking with Peers: Meet fellow RSA Conference attendees, cybersecurity professionals, and industry experts in a relaxed, informal setting. Swap stories, share insights from the conference, and build lasting relationships.   Request an Invitation RSVP today to secure your spot at this exclusive event! With limited space available, make sure to reserve your place at Blazers & Bourbon for an unforgettable evening. Don’t miss the opportunity to mix fashion, bourbon, and networking all in one night!   By clicking “Request an invite”, I consent to the processing of my contact information by Anzenna and any co-hosts of the event, including contacting me. I acknowledge that Anzenna will use and keep my contact information for as long as necessary for these purposes in accordance with its Privacy Notice Request an invite By clicking “Request an invite”, I consent to the processing of my contact information by Anzenna and any co-hosts of the event, including contacting me. I acknowledge that Anzenna will use and keep my contact information for as long as necessary for these purposes in accordance with its Privacy Notice Request an invite About Our Event Host Ganesh Krishnan Co-Founder and CEO Ganesh, Co-Founder and CEO of Anzenna, is a seasoned security practitioner and technology leader with over 25 years of experience. Before founding Anzenna, he was an EIR (Entrepreneur In Residence) at 8VC and VP of Engineering at Sophos, which acquired his startup, Avid Secure. Previously, he served as CISO at Atlassian and LinkedIn, where he also led Privacy Engineering and bootstrapped the LinkedIn India Technology Center. Ganesh was VP of Information Security and CISO at Yahoo! Inc. He holds a Master’s in Computer Science from Purdue University. Srijit Menon Executive Vice President and Chief Revenue Officer Srijit Menon is the Executive Vice President & Chief Revenue Officer for Digital Services at Movate, where he leads the organization’s digital transformation and revenue growth initiatives. Based in Chicago, USA, Srijit plays a key role in shaping Movate’s strategic direction, focusing on agility, innovation, and customer-centricity. He collaborates with cross-functional teams to enhance operational excellence, deliver impactful solutions, and strengthen Movate’s position in the dynamic digital services landscape. With over 25 years of global leadership experience, Srijit Menon excels in driving growth through strategic customer engagements and digital transformation solutions. His expertise spans Cloud, AI, and Digital Services, building high-impact partnerships across industries such as Manufacturing, Hi-tech, Utilities, Telecom, BFSI, Retail, and Life Sciences. Shashwat Shukla VP – Cloud Services, Infrastructure, and Security Shashwat is a practice lead for Cloud, Infrastructure, and security business Unit. In additional this role, he also heads Microsoft, ServiceNow, and Startup venture portfolios. He is responsible for providing strategic vision, building AI-first offerings, and defining technology roadmap that differentiate Movate from other competitors. Prior to Movate, Shash worked in companies like Amazon Web Services, Cognizant, and TCS, where he played senior solution architect role building cloud native solutions including DevOps, ML, Serverless and contact center technologies. Shashwat has over 20 yrs. of experience of leading solutions and architecture teams across cloud, infra, and security technologies for BFSI and Retail verticals. Shashwat is 4X AWS certified including specialization in Machine learning and data analytics. --- ## Case Studies URL: https://www.anzenna.ai/case-studies/ Type: page Modified: 2025-04-28 Explore real-world success stories showcasing how our solutions drive results for businesses Mitigating Insider Risk through Unified Visibility and Remediation  Anzenna & A Large Educational Institution in New York View Usecase Large Education Institution View Casestudy Data Sheet View Casestudy Case Study-3 View Casestudy Case Study-5 View Casestudy Case Study-6 View Casestudy --- ## Integrations URL: https://www.anzenna.ai/integrations-resources/ Type: page Modified: 2025-04-18 Integrate with your IT, Cloud and Security stack to Stop Insider Risk in Minutes. Mitigating Insider Risk through Unified Visibility and Remediation  Anzenna & A Large Educational Institution in New York View Usecase Anzenna X JAMF Download PDF Case Study-3 View Casestudy Case Study-5 View Casestudy Case Study-6 View Casestudy --- ## Anzenna + Jamf: Uncover and Remediate Hidden Risks with AI-Powered Insights URL: https://www.anzenna.ai/anzenna-jamf-integration/ Type: post Modified: 2025-04-16 Modern businesses face threats from all angles – and some of the most dangerous risks come from within. Misconfigured devices, shadow applications, and users operating outside security policy can fly under the radar – until it’s too late. That’s why Anzenna and Jamf teamed up. Anzenna is now a Jamf Solution partner and is listed on the Jamf Marketplace. Our powerful integration combines Jamf’s industry-leading device management with Anzenna’s AI-powered risk visibility and remediation platform. The result? A clearer, smarter view of what’s happening across your organization – and the means to take instant action. Total Risk Visibility. One-Click Remediation. Imagine discovering that an employee quietly installed a fake AI tool that’s harvesting company data. Or realizing your organization is unknowingly paying for eight different versions of VPN software because no one has visibility into what’s actually being used. Maybe you’ve even been blindsided by an overuse notice from a vendor—only to find out you’ve been exceeding license limits for months. These are the kinds of risks that slip through traditional IT and security tools. That’s where Anzenna comes in. (Caption: In July of 2024, a Disney employee upended his life when he downloaded an AI tool from GitHub to explore its capabilities. Unfortunately, he had accidentally downloaded a Trojan horse program allowing the attacker to access his personal device over several months. The attacker stole his personal info, including his 1Password account credentials, and the breach eventually extended into Disney’s inner systems leading to the theft and public exposure of over a terabyte of company data, including financial and strategy information.) Anzenna is a fully agentless Insider Risk Management platform built for modern IT and security teams—redefining how organizations identify and respond to risk. At the core of this new paradigm is Agentic AI, which goes beyond automation to actively reason through gaps in your device and application data. When integrated with Jamf, Anzenna becomes a single source of truth for your environment, intelligently enriching inventory data by mapping users to devices, identifying shadow apps, and uncovering contextual insights. Agentic AI evaluates each application’s provenance, usage, and developer history—flagging past breaches, suspicious behaviors, or misaligned usage patterns. With every app scored and categorized by real risk factors, teams can move from insight to action instantly, remediating threats through the Jamf agent in just a few clicks. Key Features & Capabilities Application Inventory EnrichmentPull in accurate device and application data from Jamf, then enrich it using AI for deeper context. Risk Scoring & CategorizationUnderstand who built an app, if they’ve been breached, and how risky it is – before it’s too late. One-Click RemediationUse Jamf’s native agent to disable apps, update policies, or quarantine devices – no new agents required.   (Caption: Anzenna finds and uninstalls a fake version of ChatGPT)   Roll-Up Risk VisibilityView risk across teams, departments, or your entire organization with consolidated risk scoring. How It Works Secure API ConnectionEstablishing a secure connection between Anzenna and Jamf Pro is simple and fast. With just a few clicks, you can configure client credentials and enable seamless API integration. This ensures encrypted communication and authentication between systems without needing custom scripts or manual workarounds. Once connected, data flows securely, enabling real-time insights and automation. The setup is designed to be both enterprise-ready and frictionless for IT teams. Data EnrichmentAnzenna’s Agentic AI engine enhances your visibility by filling in the critical gaps left by standard datasets. It intelligently maps users to devices, providing accurate associations that are essential for meaningful risk assessments. The AI also verifies application developers, helping to flag unknown or suspicious sources. Each device, app, and user is assigned a contextual risk score, making prioritization easier and more precise. This enriched context empowers teams to act on insights with confidence, not guesswork. Remediation & EnforcementWith Anzenna and Jamf working together, you can move from detection to action instantly. The Jamf agent allows you to disable risky applications, push policy updates, or even quarantine compromised devices—all in just a few clicks. There’s no need for extra infrastructure, scripting, or manual triage. This rapid response capability dramatically reduces time-to-containment and helps maintain a secure device fleet. It’s enforcement made simple, scalable, and effective. Consolidated ReportingAnzenna pulls together data from Jamf and other sources to give you a complete view of device and application posture. All insights are displayed in a single, unified dashboard, making it easy to spot trends and identify issues across your environment. Reports are enriched with context and actionable flags, not just raw data. This clarity enables faster decision-making and improves team alignment around remediation priorities. With consolidated reporting, you’re no longer chasing down fragmented insights—you’re acting on a full picture.   Security & Compliance SOC2 Type II Certified: Your data and processes meet rigorous standards. Microsoft 365 Pentested: Verified security posture in real-world scenarios. Minimal footprint on your environment: no new agents required to setup. The Result? Reduced Complexity: Eliminate guesswork by automatically categorizing thousands of applications. Accelerated Time-to-Value: See tangible security improvements within days of connecting Jamf to Anzenna. A Partnership Built to Scale Anzenna is proud to be a Jamf Solution Partner. Our collaboration is grounded in a shared vision: to give teams the tools they need to see clearly and act quickly. We offer co-branded support guides, joint enablement resources, and a detailed onboarding process that helps customers connect Jamf to Anzenna in minutes—not days. Seeing Is the First Step to Believing Connect with Anzenna, discover what’s been hiding in plain sight and start your free 30-day trial. --- ## Webinar on Guarding Against Insider Threats [Live Q & A] URL: https://www.anzenna.ai/webinar-on-guarding-against-insider-threats-live-q-a/ Type: post Modified: 2025-04-12 Did you know that a staggering 75% of security breaches involve a human risk factor? (Verizon DBIR Report 2023) This statistic underscores the critical importance of addressing insider threats within your organization. Join us for this enlightening webinar to uncover valuable insights on insider risk mitigation and embrace the necessary shift in mindset to foster a culture of strong IT security. During this webinar, we will delve into the key insights provided by industry expert Ganesh Krishnan, the CEO and founder of Anzenna. With a remarkable track record of successfully implementing security policies during his tenure as a CISO and Head of IT Security at organizations like Atlassian, LinkedIn, and Yahoo, Ganesh is well-equipped to guide us. One of the central themes of the webinar is the significance of adopting a human-first approach in the ongoing battle against online threats. This approach acknowledges that employees, whether intentionally or unintentionally, can pose significant risks to your organization’s cybersecurity. By comprehending the human element of security, you can develop strategies to better safeguard your data and assets from both negligent employees and those with malicious intent. The webinar will equip you with practical frameworks aimed at effectively mitigating insider risks. These frameworks are designed to reshape your perspective, moving from a reactive stance to a proactive approach to managing insider risk within your organization. In conclusion, it cannot be stressed enough how vital it is to address insider risks. With the continually advancing sophistication of cyber threats, adopting a human-centric approach to security is not just an option – it’s a necessity. --- ## Announcing Anzenna’s Microsoft 365 Compliance URL: https://www.anzenna.ai/announcing-anzennas-microsoft-365-compliance/ Type: post Modified: 2025-04-12 Microsoft has rolled out an exciting data security and privacy program within the software industry, especially with startups like Anzenna. This initiative is called the “Microsoft 365 App Compliance program”, and signifies a significant leap forward in guaranteeing the protection and confidentiality of sensitive data in your startup journey and building higher levels of trust from day 1. Mission The mission of this program is to offer confidence to your customers as a software vendor that data security, privacy and protection systems are in place. Achieving this trust isn’t just a one-step process; it’s an evolving journey that starts with demonstrating a strong commitment to data security and privacy. By acquiring the Microsoft 365 App Compliance Certification, startups can demonstrate their dedication to safeguarding sensitive information, assuring customers that their data is in reliable hands. Our Experience with Microsoft At the core of Microsoft 365’s app compliance certification is a robust foundation anchored in industry-leading standards such as ISO 27001 and SOC 2. This program rigorously evaluates applications, ensuring unwavering adherence to stringent security and compliance protocols. Our engagement with Microsoft in pursuing the Microsoft 365 App Compliance Certification was profound and transformative. We are dedicated to upholding high-security standards, and this independent certification process helped us strengthen those standards even further. Microsoft’s certification analysts expect a comprehensive review of documentation as part of the initial submission. This includes detailed information on our app, supporting infrastructure, and supporting documentation. By proactively providing this documentation, we aimed to streamline the assessment process and demonstrate a commitment to transparency. Microsoft has established certain automatic fail criteria that demand special attention. This process extended beyond mere checklist completion; it was an evidence-driven endeavour where each assertion was substantiated with concrete proof. It necessitates a comprehensive presentation of evidence. These include elements such as API permissions following the principle of least privilege, the provision of a penetration testing report when required, the presence of anti-malware defences, implementation of multi-factor authentication for administrative access, adherence to patching processes, and inclusion of a suitable GDPR privacy notice. Along with the initial documents, we also submitted information on our web dependencies, Software Inventory and Hardware Inventory. Our app, infrastructure, and documentation were assessed across critical security domains, including Application Security, Operational Security, and Data Handling Security and Privacy. Each domain has specific key controls, and our task was to ensure our practices aligned with these controls. The hands-on guidance provided by Microsoft’s team extended beyond generic instructions. More than just providing instructions, Microsoft’s team took on the role of guides, offering insights and advice that extended beyond the immediate requirements of compliance. Microsoft’s commitment to friendly guidance was a defining factor in our certification experience. A distinctive advantage of our Microsoft 365 app compliance journey is the leadership role assumed by Microsoft, ensuring an independent and impartial auditing process. This external and independent perspective, coupled with Microsoft’s industry expertise, contributes to the objectivity of the process, assuring stakeholders and users that the certification decisions are driven solely by adherence to stringent criteria rather than internal considerations. Complementing our security measures was Microsoft’s complimentary third-party penetration testing, conducted by external experts. This rigorous testing involved simulated attacks to identify potential vulnerabilities, underscoring Microsoft’s commitment to providing startups with robust security measures without financial barriers. The impact of Microsoft 365’s compliance program extends beyond internal operations; it serves as a pledge to our customers, emphasizing our unwavering commitment to safeguarding their data with utmost care and aligning with industry best practices. This certification is not merely a badge; it is a statement resonating with our customers, fostering trust and confidence in our ability to safeguard their data. Looking Forward Rather than viewing this certification as the end of the road, it serves as a springboard to propel us toward even greater heights. The experience and knowledge gained from the Microsoft 365 App Compliance Certification have set the stage for our future pursuits. We’ve recognized that this certification not only fortified our data security and privacy measures but also equipped us with the know-how to navigate the complex world of compliance standards. As we look to 2024, our sights are firmly set on attaining industry-standard security certifications, with SOC2 Type 2 being a prominent goal on our security roadmap. The foundation laid during our journey with Microsoft 365 App Certification has made this much more achievable. Armed with the insights, practices, and rigorous processes we’ve adopted, we’re confident that we can approach future certifications with a more streamlined and informed approach. The lessons learned from our initial security certification will serve as a valuable template, ensuring that our commitment to data protection remains unwavering and our path to certification excellence remains well-defined. Conclusion While compliance is undoubtedly a crucial aspect of any good security framework, it alone does not guarantee foolproof protection. The implementation of these security frameworks with the right security controls and independent assessments plays a pivotal role in this process. Going beyond the checkbox mentality of compliance, these assessments provide a comprehensive and objective evaluation of an organization’s security posture. By engaging with a reputable entity like Microsoft for independent evaluations, startups can gain insights into their strengths and weaknesses from an unbiased perspective. By taking the necessary steps, including the Microsoft Publisher Attestation and the comprehensive compliance certification, software startups can build trust, secure sensitive data, and establish themselves as reliable partners for enterprises and we recommend other startups to do the same! --- ## Announcing Anzenna’s SOC2 Type II compliance URL: https://www.anzenna.ai/announcing-anzennas-soc2-type-ii-compliance/ Type: post Modified: 2025-04-12 We are happy to announce that Anzenna has achieved SOC 2 Type II compliance in accordance with American Institute of Certified Public Accountants (AICPA) standards for SOC for Service Organizations also known as SSAE 18. Achieving this standard with an unqualified opinion serves as third-party industry validation that Anzenna provides enterprise-level security for customer’s data secured in their system. Anzenna Inc. was audited by Prescient Assurance , a leader in security and compliance attestation for B2B, SAAS companies worldwide. Prescient Assurance is a registered public accounting in the US and Canada and provides risk management and assurance services which includes but is not limited to SOC 2, PCI, ISO, NIST, GDPR, CCPA, HIPAA, and CSA STAR. An unqualified opinion on a SOC 2 Type II audit report demonstrates to Anzenna’s current and future customers that they manage their data with the highest standard of security and compliance. Before the SOC2 Type II, we also obtained our Microsoft 365 compliance which is an independent security assessment by Microsoft.  Many thanks to our customers for entrusting us with their data along with Microsoft and Prescient Assurance for helping us implement the highest security standards for them. --- ## Holistic Insider Risk Management – The Time is NOW! URL: https://www.anzenna.ai/holistic-insider-risk-management-the-time-is-now/ Type: post Modified: 2025-04-12 Did you know that 68% of security breaches are caused by insiders? Despite this alarming statistic, most security measures focus on perimeter defenses to keep external hackers at bay. While perimeter defenses are necessary, they are not sufficient. External hackers often seek to exploit insiders because they are often vulnerable. Therefore, it’s critical to develop a holistic understanding of insider risk posture and drive your security program accordingly. Let’s clarify what insider risk truly means. Traditional views focus on malicious employees, the so-called “bad apples.” While these individuals pose a threat, they only account for about 1-5% of insider-related issues. The remaining 95-99% stem from well-intentioned insiders making accidental or negligent mistakes while performing their duties. To effectively mitigate insider risk, it’s also essential to identify, understand, and manage these accidental and negligent mistakes that occur regularly within your organization. These are the mistakes that are most likely to lead to security breaches and put your company at risk. Here are some examples: Credential Stuffing: This attack method is on the rise and significantly contributes to breaches because humans often reuse credentials. This is a prime example of accidental or negligent insider risk. Do you monitor your employees to ensure they aren’t reusing corporate credentials on third-party sites? Data Exposure: Employees frequently need to share information both internally and externally during their work. However, simple mistakes can lead to the inadvertent sharing of PII, PHI, and financial information, which could trigger disclosure requirements. This risk isn’t limited to collaboration tools but extends to big data environments like Snowflake. Do you have monitoring in place to address this? Device Posture: Companies rely on their employees to keep corporate & BYOD devices and data secure. However, attackers target employees, attempting to get them to install rogue applications and browser extensions to take over their devices and sessions to critical applications, even if strong authentication methods like passkeys or MFA are enabled. Do you have comprehensive monitoring in place for applications installed, infection rates, and device posture gaps across all devices employees use to access your network? The list goes on, including unsafe SaaS usage, Phishing susceptibility, malicious data exfiltration & misuse of admin privileges among others. A holistic approach to insider risk involves understanding it across all these dimensions, attributing specific risks to individual insiders, and then implementing guardrails and deterrence measures backed by appropriate data and justification. The good news is that this no longer requires months of effort. Contact Anzenna to learn more and get a free Insider Risk Assessment today! --- ## Announcing Our Snowflake Integration URL: https://www.anzenna.ai/announcing-our-snowflake-integration/ Type: post Modified: 2025-04-12 Over the past few weeks, we’ve embarked on an exciting project to enhance Anzenna’s insider security monitoring capabilities by integrating with Snowflake, a leading cloud-based data warehousing platform. With this new integration, our customers can now enjoy seamless monitoring of their Snowflake environments, with up to date information on data sharing and use.  This means quicker identification of potential threats and more effective risk management. In this update, we delve into the technical details of this integration, highlighting our use of OAuth for authentication and Snowflake’s SQL HTTP endpoint to monitor and analyze database usage. You might wonder what a Snowflake integration has to do with insider risk. While recent attention has focused on enabling MFA for Snowflake, the real security risk lies in how securely insiders use it, given the vast amount of sensitive information stored within. For more details, refer to our Insider Risk 101 blog post: https://www.www.anzenna.ai/holistic-insider-risk-management-the-time-is-now/. Integration Overview Our integration with Snowflake follows a structured yet dynamic framework, beginning with the customer signup process. When a new customer joins our platform, they undergo a streamlined signup process that generates and stores OAuth credentials. These credentials are essential for establishing a secure connection to their Snowflake instance, allowing our system to authenticate and interact with Snowflake seamlessly. Setting Up a Security Integration in Snowflake Setting up a security integration in Snowflake involves creating an OAuth-based connection. This process starts by configuring your Snowflake instance to recognize our application as a secure client.This is done by first setting up a security integration within your Snowflake instance: CREATE SECURITY INTEGRATION MY_SNOWSQL_CLIENT TYPE = OAUTH ENABLED = TRUE OAUTH_CLIENT = CUSTOM OAUTH_CLIENT_TYPE = 'CONFIDENTIAL' OAUTH_REDIRECT_URI = 'https://example.com/callback' OAUTH_ISSUE_REFRESH_TOKENS = TRUE OAUTH_REFRESH_TOKEN_VALIDITY = 86400; The OAUTH_REDIRECT_URI is a critical component, as it ensures that the authorization code grant is safely passed back to your application. For instance, during development, this URI might point to localhost:, but in production, it should be set to a secure, publicly accessible URL. Handling an OAuth Callback Here’s an example of handling an OAuth callback in Go: // add the handler function to the router for your golang server mux.HandleFunc("/callback", callback) func callback(w http.ResponseWriter, r *http.Request) {   // Capture the auth code grant from the URL     AuthGrant := r.URL.Query().Get("code")     oauthConfig := &oauth2.Config{          RedirectURL:  "http://example.com/callback",         ClientID:     os.Getenv("SNOWFLAKE_CLIENT_ID"),        ClientSecret: os.Getenv("SNOWFLAKE_CLIENT_SECRET"),          Endpoint:     os.Getenv("SNOWFLAKE_TOKEN_ENDPOINT"),      }     token, err := oauthConfig.Exchange(r.Context(), AuthGrant)    if err != nil {          log.Println(err.Error())          http.Redirect(w, r, "/", http.StatusTemporaryRedirect)         return     }     // Persist or use token here     PersistToken(token)     w.WriteHeader(http.StatusOK) } To use the token later, it is retrieved from storage and used to construct an OAuth2-based HTTP client that can refresh the token as needed using: client := oauth2.NewClient(ctx, TokenSource) Monitoring and Data Analysis Once authenticated, our system leverages the stored OAuth tokens to fetch data from several key Snowflake tables, including users, roles, shares, and usage_history. This data retrieval is facilitated through Snowflake’s SQL HTTP endpoint documented here: https://docs.snowflake.com/en/developer-guide/sql-api/intro, enabling us to execute SQL queries and obtain the necessary information efficiently. Example Query: Data Sharing Monitoring SELECT * FROM SNOWFLAKE.ACCOUNT_USAGE.QUERY_HISTORY WHERE REGEXP_LIKE(QUERY_TEXT, 'create\\s+share\\s.*','i') OR REGEXP_LIKE(QUERY_TEXT, '\\s+to\\s+share\\s.*','i') AND START_TIME >= DATEADD(HOUR, -24, CURRENT_TIMESTAMP()); Security Monitoring and Threat Detection The gathered data is meticulously analyzed to monitor database usage and identify potential security risks. Our analysis focuses on detecting unusual patterns, unauthorized access, and other indicators of insider threats. Some of our current detections for our Snowflake integration include MFA account status, data exfiltration, and data sharing. By continuously monitoring and scrutinizing this data, we provide our customers with actionable insights to help safeguard their data assets. This integrated approach ensures robust security monitoring and aligns with our mission at Anzenna to detect and prevent insider risks. By extending our monitoring capabilities to Snowflake, we continue to iterate on offering our customers a comprehensive solution to protect their sensitive information. Contact Anzenna to learn more and get a free Insider Risk Assessment today! --- ## Announcing the Anzenna Browser Extension URL: https://www.anzenna.ai/announcing-our-browser-extension/ Type: post Modified: 2025-04-12 In today’s world of cloud-first modern enterprises, the web browser is the entrypoint to many critical company resources. Sensitive corporate credentials, session tokens, MFA authenticated services, emails and documents – ranging from employee pay stubs to client contracts – live in resources such as cloud drives and third party SaaS applications. In addition to corporate resources, it is also common for employees to access personal websites on company machines. Hence monitoring and protecting browser usage within a corporate setting is paramount.  Companies can go about this by installing agents on the user OS but there are several problems with this approach including: Significant time and resources needed to deploy and configure; resiliency issues as demonstrated with recent outages; missed context on user behavior which increasingly takes place on the browser; performance impact on employee machines; poor employee privacy control.   While agents may be appropriate in some situations, the majority of customers demand lightweight and resilient approaches that allow security teams to get the right visibility while preserving corporate resiliency, employee privacy & company culture. In order to enhance its agentless insider-risk and human security offering, Anzenna has released an optional browser extension that customers can deploy to solve specific browser level security problems while protecting employee privacy. Our browser extension securely tracks employees’ security posture on the web. The scope of data collection is centrally managed by the security team within a specific customer environment. Errors are sandboxed to the browser and can be unilaterally rolled back because they don’t touch the underlying OS. Here are some key use cases we address via the browser extension: Data exfiltration: Track downloads of sensitive company resources (e.g. documents originating from the corporate drive) and keep track of where they have been uploaded and shared. This is especially important with the increasing use of AI tools such as GPT to perform tasks on company resources. The scope of data collection is configurable by security admins to balance employee privacy with risk visibility. Shadow IT tracking : Employees may use unapproved applications (e.g., note taking, management, and AI tools) to perform day-to-day tasks. Since these applications may not be accessed via the enterprise SSO, security teams have no visibility over them. Any data breaches in these applications would go undetected and leak sensitive company information. Unsafe password usage : Track employee password hygiene. Are they using password managers or sharing passwords across websites? Have their credentials been compromised in a recent security breach? All of the collected data is easily viewable and queryable via the Anzenna admin interface. Anzenna serves as the ultimate source of truth for people-security data, enhancing existing controls and pinpointing areas needing reinforcement. Leveraging AI to forecast and curb insider risks, Anzenna proactively counters both malicious and accidental threats within minutes, offering a modern alternative to traditional siloed security measures such as UEBA, SaaS Security, and conventional security training. Contact Anzenna to learn more and get a free Insider Risk Assessment today! --- ## Announcing Our HIBP Integration URL: https://www.anzenna.ai/announcing-our-hibp-integration/ Type: post Modified: 2025-04-12 “Have I Been Pwned” (HIBP) is an online service that allows users to check if their personal data has been compromised in a data breach. Created by Troy Hunt, HIBP collects and analyzes data from breaches, helping people secure their digital presence. Every other day, another company makes headlines as the victim of a data breach. While these breaches are a constant threat to enterprises worldwide, it’s impractical to prevent employees from using everyday SaaS tools in their jobs. Protecting sensitive information is paramount for enterprises, and the first step is knowing if and to what extent your data has been compromised. This is where HIBP comes into play. By integrating with HIBP, enterprises can automatically monitor their users for breaches and trigger automatic remediation via products like Anzenna, significantly enhancing their security posture.  Where does Anzenna come in? Anzenna helps enterprises detect, deter, and disrupt insider risk by combining intelligence from a myriad of security tools, including Identity management, MDMs, Endpoint solutions, External sources and more. HIBP seamlessly fits into this model, enhancing existing signals and assisting incident response teams in putting the pieces together. For example, reused credentials leaked in an identity breach can lead to a risky login that might not be blocked by the identity provider. This could allow an attacker to exfiltrate data or hold the company hostage. Early and proactive remediation can prevent such situations. When an enterprise admin sees an employee’s external breach on the Anzenna dashboard, they can immediately reach out to the employee via Slack or Teams and ask them to change their password. Alternatively, they can use our identity provider integrations to force a password reset on the employee’s behalf. Benefits for Enterprises 1. Proactive Threat Detection Integrating Anzenna and HIBP into your enterprise security infrastructure enables proactive monitoring of user accounts and insider risk. By regularly checking email addresses and usernames against the HIBP database, you can identify compromised accounts early and take immediate action to mitigate risks. This early detection is crucial in preventing further exploitation of breached data. 2. Enhanced User Security When a breach is detected, you can promptly notify affected users, advising them to change their passwords and take other necessary security measures. For corporate accounts, enterprises can also force a password reset for the employee. 3. Strengthened Compliance Many industries are governed by strict data protection regulations, such as GDPR, HIPAA, and CCPA. This integration can help companies meet these regulatory requirements by demonstrating a proactive approach to data security and breach notification. This not only avoids hefty fines but also maintains the enterprise’s reputation. Conclusion Incorporating Anzenna and “Have I Been Pwned” into your enterprise’s security framework is a strategic move towards bolstering data protection. This integration enables proactive breach detection, enhances user security, automates monitoring, strengthens compliance, and supports comprehensive risk assessments, making it a valuable combination in the fight against cyber threats. Contact us to take a proactive stance in securing your enterprise against the ever-evolving cyber threat landscape. --- ## Insider Security Risk: A Growing Pandemic in Cybersecurity URL: https://www.anzenna.ai/insider-security-risk-a-growing-pandemic-in-cybersecurity/ Type: post Modified: 2025-03-18 As a former CISO with over 25 years of experience, I’ve witnessed some of the most damaging security breaches—most of which were caused by Insiders. Insiders refers to employees, contractors, and anyone with legitimate access to an organization’s environment. Whether intentional or accidental, insider actions remain a primary vector for cyber threats. Common Insider Risks Insiders often use weak or reused passwords. Insiders install rogue applications and browser extensions on company devices. Insiders make sensitive data public for convenience. Insiders fall victim to repeated phishing attacks. Insiders bypass security protocols using Shadow IT. Insiders often obtain or retain more access than necessary for their roles. Insiders exfiltrate company and customer sensitive data. Insiders exfiltrate company code to personal repositories. Insiders are socially engineered into leaking company data. Insiders leave secrets exposed in code. Insiders get corporate machines infected with ransomware. Departed insiders retain unauthorized access. Insiders bridge home networks to corporate and customer environments. These examples highlight that insider risk extends across the entire security program and is not limited to DLP or data controls. Attackers actively target insiders because they are an effective and often overlooked entry point. These breaches not only compromise sensitive data but also disrupt business operations and weaken organizational resilience. The Security Gap: Why Current Approaches Fall Short Despite growing threats, security investments have largely focused on technology and compliance—leaving insider risks inadequately addressed. Consider this: If a thief steals your car keys, the car cannot distinguish between you and the thief. Similarly, a security strategy centered on devices, events, networks, accounts and compliance lacks the context to identify true insider risks. To secure an organization effectively, security must be people-centric. The Security Dilemma: Trust vs. Protection Organizations rely on insiders to act responsibly, but mistakes are inevitable. Security teams face the challenge of enabling productivity while enforcing strong protections. So, how can security leaders tackle this growing threat without stifling business operations? Three Critical Steps to Strengthen Insider Risk Management 1. Enforce Strong MFA (Preferably Passkeys) Immediately Multi-Factor Authentication (MFA) is one of the most effective controls to prevent unauthorized access. If you haven’t already implemented phishing-resistant MFA across insiders, vendors and customers, now is the time. 2. Shift to an Employee-Centric Security Posture Most security tools offer only machine or event-level insights—not a holistic, user-centric view of risk. Even when employee-level data exists (e.g., phishing reports), it is often fragmented and fails to provide a complete picture. Security leaders may assume their existing tools offer sufficient protection, but without a single, people-centric source of truth, it’s impossible to validate whether security controls are truly effective. Think of insider risk like a pandemic—you need accurate insights into: Who is at risk? How many repeat offenders exist? What security variants (types of insider threats) are emerging? Who is resilient, and who needs additional safeguards? Time is the most valuable asset for security teams. Reducing noise and identifying high-risk insiders with precision is critical to an effective defense strategy. 3. Build Transparency and Training into Your Insider Risk Strategy Insiders should be aware that insider risk is being monitored —not as a punitive measure, but as a way to enhance security and learning. Mistakes should be treated as opportunities for improvement and should drive targeted user-level controls rather than broad, restrictive policies. A data-driven approach to insider risk ensures alignment with business objectives. When security policies are backed by real-world data, they gain credibility and minimize resistance from both leadership and employees. Final Thoughts Insider risk is not just an IT issue—it’s a business-critical challenge. Addressing it requires a proactive, data-driven, and employee-centric approach. Security teams must rethink traditional models and adopt strategies that both protect the organization and empower insiders to work securely. The question is no longer if insider risk will impact your business—but when. Are you ready? --- ## Anzenna Launches First-of-Its-Kind Agentic AI security solution URL: https://www.anzenna.ai/agentic-ai-security/ Type: post Modified: 2025-03-13 Anzenna’s agentic AI security platform takes cybersecurity beyond detection—automating real-time threat remediation to stop insider risks, IP exfiltration, rogue apps and compliance violations instantly. By seamlessly integrating with existing security tools, Anzenna eliminates manual effort, enforces security policies at scale, and ensures organizations stay protected without added complexity. [San Francisco, CA] – Anzenna, the pioneer of Human-Centered Security, today announced its Winter Product Release, introducing the first agentic AI security platform that delivers pinpoint-accurate risk identification and real-time, automated remediation across an organization’s existing security ecosystem. Unlike traditional security tools that focus on perimeter or endpoint protection, Anzenna zeroes in on the most critical and overlooked security element: human behavior. By seamlessly integrating with existing security tools such as SIEMs, EDR, DLP, IAM, Cloud and enterprise security orchestration tools as well over 50 common enterprise applications such as Google Workspace, Microsoft 365, GitHub, Anzenna automates detection and enforcement at scale, requiring no agents or complex setup. Security teams can now stop insider risk, prevent IP exfiltration, and remediate compliance violations within minutes without hiring additional analysts or overloading existing tools. “We are redefining what’s possible in security operations by introducing agentic AI technology that doesn’t just surface risks but takes action instantly,” said Ganesh Krishnan, Founder and CEO of Anzenna.  “Many security teams are already managing dozens of tools, making it critical that any new technology enhances rather than complicates existing workflows. Anzenna is designed to fit seamlessly into any security stack—serving as a user-centric control plane that aggregates, prioritizes, and automates risk mitigation without adding operational burden.” Security and Compliance Actions, Automated in Minutes Anzenna’s AI-driven platform enables security teams to: Stop Insider Risk in Minutes – Detect and prevent unauthorized data access, privilege abuse, and credential misuse before damage is done. Stop IP Exfiltration in Minutes – Block unauthorized file transfers, source code transfers, and other high-risk data-sharing activities. Fix Compliance Risks in Minutes – Automatically detect and correct policy violations in real-time, ensuring continuous adherence to security and regulatory frameworks. Secure Employee Apps in Minutes – Identify and remove unauthorized or risky applications while enforcing least-privilege access policies. Secure Breached Identities in Minutes – Rapidly detect and respond to compromised user accounts, automatically enforcing security controls to prevent account takeovers. AI-Powered Remediation Across the Entire Security Ecosystem Traditional security solutions detect threats but require extensive manual effort to investigate and remediate. Anzenna’s agentic AI-driven automation eliminates this friction by integrating directly with security teams’ existing tools to remediate policy violations in real-time. Key features of the Winter Release include: Agentless, Instant Deployment – Anzenna’s cloud-native platform requires no agents, nocomplex setup, and no disruption to existing security workflows. Organizations gain instant visibility into user actions, SaaS applications, and identity security risks. Seamless Integrations for Automated Action – Out-of-the-box integrations with over 50 enterprise applications, identity providers, and security orchestration platforms ensure organizations can enforce security policies across their existing toolsets. Pinpoint-Accurate Risk Identification – AI-driven insights distinguish real threats from noise, enabling security teams to act on the most critical risks without alert fatigue. Automated Remediation at Scale – Security teams can automatically revoke access, remove risky applications, block unauthorized data sharing, and enforce compliance policies with minimal effort.   A New Era of Human-Centered Security With hybrid work environments, SaaS sprawl, and identity-based attacks on the rise, security teams face growing pressure to reduce risks without adding friction to the business. Anzenna’s agentic AI platform ensures companies can proactively protect users, applications, and identities, without slowing down productivity. “With our Winter Release, we are proving that security can be both proactive and effortless,” added Ganesh Krishnan. “By focusing on people, behaviors, and automation, Anzenna is closing the gaps that traditional security tools leave open, allowing teams to focus on innovation rather than chasing security incidents.” Anzenna is offering enterprises to apply for a free proof-of-concept pilot for the month of February and March. Please visit www.anzenna.ai About Anzenna Anzenna is pioneering Human-Centered Security with the first Agentic AI-driven platform that identifies security and compliance risks with pinpoint accuracy and automatically enforces remediation actions across existing security tools. By focusing on the human element, where most security incidents originate, Anzenna enables companies to proactively prevent threats, enforce security policies in real- time, and maintain compliance without disrupting productivity. --- ## Privacy Policy URL: https://www.anzenna.ai/privacy-policy/ Type: page Modified: 2025-02-20 EFFECTIVE DATE: 2025-02-20 Anzenna, Inc. (“Anzenna,” “we,” “us,” or “our”) values your privacy. In this Privacy Policy (“Policy”), we describe how we collect, use, and disclose information that we obtain about visitors to and users of our website at www.anzenna.ai (the “Site”) and information we collect through the services made available through our Site, Saas platform, mobile or other software applications (collectively, the “Services”), and how we use and disclose that information.By visiting the Site, or using any of our Services, you agree that your personal information will be handled as described in this Policy. Your use of our Site or Services, and any dispute over privacy, is subject to this Policy and the Terms of Use for the Site and the Terms of Service for the Services, including their applicable limitations on damages and provisions for the resolution of disputes. The Information We Collect About You We collect information about you directly from you and from third parties, as well as automatically through your use of our Site or Services. Information We Collect Directly From You. You may browse certain areas of the Site without registering with us or providing us personal information. If you complete our contact form or sign up for email newsletters, we collect your name, email, and whether you are a developer, customer, or just interested in our Services. In addition, if you are using our Services, we collect your personal information from your employer or from you directly including the following: (a) Your email address; (b) Your first name and last name; (c) Your and/or your company’s name and physical address; (d) Your and/or your company’s phone number; (e) Your title; and (f) Your permissions to access, share, and download documents and data as determined by your employer. We also track the devices and accounts assigned to you and workflow systems made available to you and your usage of and communications through such systems through the use of server logs, IP addresses, and device IDs to detect and identify potential security risks. Our tracking is focused on helping an enterprise ensure that its sensitive business and personal information is not improperly disclosed, accessed, or downloaded and that its enterprise systems are not subject to security risks. In addition, if you are providing personal information for third parties in connection with using our Services, you are responsible for ensuring that you have all required permissions and consents to provide such personal information to us for use in connection with the Services and that our use of such personal information to provide the Services does not violate any applicable law, rule, regulation, or order. Please note that in most cases, we process personal information on behalf of other data controllers (e.g. enterprise monitoring employee workflow) to which we provide Services. The policies of the data controllers on whose behalf we process such Personal Data apply to the processing of that personal information. Any requests or complaints regarding such data processing should be submitted to the applicable data controller in the first instance; if we receive a request in connection with such processing, we will forward to the applicable data controller for a response. Information We Collect Automatically. We may automatically collect the following information about your use of our Site or Services through cookies and other technologies: your domain name; your browser type and operating system; web pages you view; links you click; your IP address; the length of time you visit our Site or use our Services; and the referring URL, or the web page that led you to our Site. We may combine this information with other information that we have collected about you, including, where applicable, your user name, name, and other personal information Please see the section “Our Use of Cookies and Other Tracking Mechanisms” below for more information. How We Use Your Information We use your information, including personal information, for the following purposes: Provide our servicesWe use your information to provide the Site and Services, to communicate with you about your use of our Site and Services, to respond to your inquiries, to fulfill your orders, and for other customer service purposes. Provide personalized servicesWe use your information to tailor the content and information that we may send or display to you, to offer location customization, and personalized help and instructions, and to otherwise personalize your experiences while using the Site and Services. Improve and develop our servicesWe use your information to ensure our Site and Services are working as intended, to better understand how users access and use our Site and Services, both on an aggregated and individualized basis, to make improvements to our Services, to develop new Services, and for other research and analytical purposes. MarketingWe use your information for marketing and promotional purposes. For example, we may use your information, such as your email address, to send you news and newsletters, special offers, and promotions, to conduct contests, or to otherwise contact you about products or information we think may interest you. We also may use the information that we learn about you to assist us in advertising our Services on third-party websites. ComplianceWe may use your information to detect, investigate, and prevent activities on our Site or Services that may violate our contracts and terms of use and terms of service, be fraudulent or pose a security risk, violate copyright, trade secret and other intellectual property rights or that may be otherwise illegal, to comply with legal requirements, to defend or exercise legal claims, to respond to law enforcement or governmental investigations or requests, and to protect our rights and the rights and safety of our users and others. Data Retention We will retain your information for the period necessary to fulfill the purposes outlined in this Privacy Statement, to make our products and services available to you, or as instructed by you, unless a longer retention period is required or permitted by law. Additional Limits on Use of Your Google User Data Our use and transfer of information received from Google APIs to any other app will adhere to Google API Services User Data Policy, including the Limited Use requirements. How We Share Your Information We may share your information, including personal information, as follows: Consent. Where you have provided consent, we share your information, including personal information, as described at the time of consent, such as when you authorize a third-party application or website to access your Anzenna account or when you participate in promotional activities conducted by Anzenna partners or third parties. Affiliates. Where you have provided consent, we share your information, including personal information, as described at the time of consent, such as when you authorize a third-party application or website to access your Anzenna account or when you participate in promotional activities conducted by Anzenna partners or third parties. Service Providers. We may disclose the information we collect from you to third-party vendors, service providers, contractors, or agents who perform functions on our behalf. Business Transfers. If we are acquired by or merged with another company, if substantially all of our assets are transferred to another company or entity, including, but not limited as part of a bankruptcy proceeding, or are in negotiations for any of these types of transactions, we may transfer the information we have collected from you to the other company or entity. In Response to Legal Process. We also may disclose the information we collect from you in order to comply with the law, a judicial proceeding, court order, or other legal process, such as in response to a subpoena. To Protect Us and Others. We also may disclose the information we collect from you where we believe it is necessary to investigate, prevent, or take action regarding illegal activities, suspected fraud, situations involving potential threats to the safety of any person, violations of our Terms of Service or this Policy, or as evidence in litigation in which we are involved. Aggregate and De-Identified Information. We may share aggregate or de-identified information about users and their use of the Services with third parties and publicly for marketing, advertising, research, or similar purposes. Please note that except as noted above, we will not sell or share your personal information with any third party for their direct marketing purposes without your consent. Our Use of Cookies and Other Tracking Mechanisms We, as service providers, use cookies and other tracking mechanisms to track information about your use of our Site and Services. We may combine this information with other personal information we collect from you (and our third-party service providers may do so on our behalf).Currently, our systems do not recognize browser “do-not-track” requests. You may, however, disable certain tracking as discussed in this section (e.g., by disabling cookies), but such disabling will impair use of the Site and Services.Cookies. Cookies are alphanumeric identifiers that we transfer to your computer’s hard drive through your web browser for record-keeping purposes. Some cookies allow us to make it easier for you to navigate our Site and Services, while others are used to enable a faster log-in process or to allow us to track your activities at our Site and Services. There are two types of cookies: session and persistent cookies.  Session Cookies. Session cookies exist only during an online session. They disappear from your computer when you close your browser or turn off your computer. We use session cookies to allow our systems to uniquely identify you during a session or while you are logged into the Site. This allows us to process your online transactions and requests and verify your identity, after you have logged in, as you move through our Site. Persistent Cookies. Persistent cookies remain on your computer after you have closed your browser or turned off your computer. We use persistent cookies to track aggregate and statistical information about user activity. Disabling Cookies. Most web browsers automatically accept cookies, but if you prefer, you can edit your browser options to block them in the future. The Help portion of the toolbar on most browsers will tell you how to prevent your computer from accepting new cookies, how to have the browser notify you when you receive a new cookie, or how to disable cookies altogether. Visitors to our Site who disable cookies will not be able to browse certain areas of the Site or use the Services.Third-Party Analytics. We use automated devices and applications, such as Google Analytics, to evaluate usage of our Site and our Services. We also may use other analytic means to evaluate our Services. We use these tools to help us improve our Services, performance, and user experiences. These entities may use cookies and other tracking technologies to perform their services. We do not share your personal information with these third parties. To learn more about Google Analytics and how to opt-out, please see https://tools.google.com/dlpage/gaoptout. Third-Party AI Platforms Our Site and Services is integrated with OpenAI via API to provide content generation services.  We do not share any personal data with OpenAI, and OpenAI does not process any personal data while generating content for our customers. For more information, please see OpenAI’s privacy policy. Third-Party Links Our Site and Services may contain links to third-party websites. Any access to and use of such linked websites is not governed by this Policy, but instead is governed by the privacy policies of those third-party websites. We are not responsible for the information practices of such third-party websites. Security of My Personal Information We have implemented commercially reasonable precautions to protect the information we collect from loss, misuse, and unauthorized access, disclosure, alteration, and destruction. Please be aware that despite our efforts, no data security measures can guarantee 100% security.You should take steps to protect against unauthorized access to your password, phone, and computer by, among other things, signing off after using a shared computer, choosing a robust password that nobody else knows or can easily guess, and keeping your log-in and password private. We are not responsible for any lost, stolen, or compromised passwords or for any activity on your account via unauthorized password activity. What Rights Do I Have Regarding My Personal Information? You may request access, a copy, modification, or deletion of personal information that you have submitted to us by contacting us at contact@anzenna.ai We will use reasonable efforts to accommodate such requests to the extent required by law, provided that we may be required to retain personal information to comply with legal obligations, accounting requirements, or for other business purposes. We may request additional information to verify the identity of the requesting party before responding to a request. Please note that copies of information that you have updated, modified, or deleted may remain viewable in cached and archived pages of the Site for a period of time. What Are My Data Protection Rights? We want you to be fully aware of all of your data protection rights. Every user is entitled to the following: The right to access – You have the right to request copies of your data. We may charge you a small fee for this service. The right to rectification – You have the right to request that we correct any information you believe is inaccurate. You also have the right to request we complete the information you believe is incomplete. The right to erasure – You have the right to request that we erase your data, under certain conditions. The right to restrict processing – You have the right to request that we restrict the processing of your data, under certain conditions. The right to object to processing – You have the right to object to our processing of your data, under certain conditions. The right to data portability – You have the right to request that we transfer the data that we have collected to another organization, or directly to you, under certain conditions. The right in relation to automated decision-making including profiling – You have the right not to be subject to a decision based solely on automated processing, including profiling, under certain conditions. If you make a request, we have one month to respond to you. If you would like to exercise any of these rights, please contact us at the address or e-mail identified in the Contact Us section in this page. We may ask you to verify your identity before responding to such requests. What Choices Do I Have Regarding Use of My Personal Information for Marketing? We may send periodic promotional or informational emails to you. You may opt-out of such communications by following the opt-out instructions contained in the e-mail. Please note that it may take up to 10 business days for us to process opt-out requests. If you opt-out of receiving emails about recommendations or other information we think may interest you, we may still send you e-mails about your account or any Services you have requested or received from us. Location of Information and Consent to Transfer Our Site and Services are offered from the United States. We store any information we collect in the United States. If you access the Services or Site from outside the United States, you consent to the transfer of your information to the United States, which may have less protections for your personal information than your jurisdiction of residence. Children Under 13 Our Site and Services are not designed for children under 13. If we discover that a child under 13 has provided us with personal information, we will delete such information from our systems. Contact Us If you have questions about the privacy aspects of our Site or Services or would like to make a complaint, please contact us at contact@anzenna.ai. Changes to this Policy This Policy is current as of the Effective Date set forth above. We may change this Policy from time to time, so please be sure to check back periodically. We will post any changes to this Policy on the Site. If we make any changes to this Policy that materially affect our practices with regard to the personal information we have previously collected from you, we will endeavor to provide you with notice in advance of such change by highlighting the change on our Site or if you have an account with us, providing notice to the email address in your account (for this reason you should make sure to update your account information promptly if it changes). California Privacy Rights Under California Civil Code § 1798.83, California residents who have provided personal information to Anzenna may obtain information regarding Anzenna’s disclosures, if any, of personal information to third parties for third-party direct marketing purposes. Requests must be submitted to the following address: support@anzenna.ai. Within 30 days of receiving such a request, we will provide a California Privacy Disclosure, which will include a list of certain categories of personal information disclosed during the preceding calendar year to third parties for their direct-marketing purposes, along with the names and addresses of the third parties. This request may be made no more than once per year. --- ## Blazers Event Santa Clara URL: https://www.anzenna.ai/sjcevent/ Type: page Modified: 2025-02-16 Blazers & Bourbon Join Anzenna and Lightbeam for an Evening of Insightful Discussions, Networking, and a Complimentary Tailored Blazer from Indochino. Join Now Indochino 2855 Stevens Creek Blvd, Santa Clara, CA 95050 Thursday, February 6th, 5:30 PM – 8:30 PM Indochino 2855 Stevens Creek Blvd, Santa Clara, CA 95050 Thursday, February 6th, 5:30 PM – 8:30 PM Indochino 2855 Stevens Creek Blvd, Santa Clara, CA 95050 Thursday, February 6th, 5:30 PM – 8:30 PM Indochino 2855 Stevens Creek Blvd, Santa Clara, CA 95050 Thursday, February 6th, 5:30 PM – 8:30 PM Reserve your spot here Join us for an exclusive evening of networking and insightful discussions at the Blazers & Bourbon Executive Mixer, hosted by Anzenna and LightBeam.ai. This unique event, held at Indochino, is designed for cybersecurity leaders looking to explore new insights, share expertise, and in a relaxed, professional setting. All attendees will receive a complimentary personalized blazer from Indochino, ensuring not only an evening of great conversation but also a tailored takeaway to remember the event by. Space is limited, and attendance is reserved for senior-level executives in the cybersecurity industry. Please RSVP to secure your spot.  Why you should attend: Connect with fellow cybersecurity executives and thought leaders in an intimate, inviting environment. Discover innovative approaches to tackling today’s top cybersecurity challenges shared by peers and industry experts.   By clicking “Request an invite”, I consent to the processing of my contact information by Anzenna and any co-hosts of the event, including contacting me. I acknowledge that Anzenna will use and keep my contact information for as long as necessary for these purposes in accordance with its Privacy Notice Request an invite About Our Event Host Ganesh Krishnan Co-Founder and CEO Ganesh, Co-Founder and CEO of Anzenna, is a seasoned security practitioner and technology leader with over 25 years of experience. Before founding Anzenna, he was an EIR (Entrepreneur In Residence) at 8VC and VP of Engineering at Sophos, which acquired his startup, Avid Secure. Previously, he served as CISO at Atlassian and LinkedIn, where he also led Privacy Engineering and bootstrapped the LinkedIn India Technology Center. Ganesh was VP of Information Security and CISO at Yahoo! Inc. He holds a Master’s in Computer Science from Purdue University. Himanshu Shukla Co-Founder and CEO Himanshu Shukla serves as the Co-Founder & CEO of LightBeam.ai. LightBeam automates data security and privacy compliance controls for InfoSec and Privacy teams, helping them accelerate their organizations’ businesses in national and international markets. Before establishing LightBeam.ai, Himanshu led Nutanix’s AIOPs team, where he initiated and cultivated the business from inception, achieving remarkable growth to a 100M run-rate. With over two decades of industry experience, he is a dedicated technologist with significant contributions to AI/ML, Search, Networking, and Compiler technology. Himanshu holds more than 20 patents and authored 5 published papers. --- ## Data and IP Exfiltration URL: https://www.anzenna.ai/use-case/data-and-ip-exfiltration/ Type: use-case Modified: 2025-02-03 --- ## Source code Exfiltration URL: https://www.anzenna.ai/use-case/source-code-exfiltration/ Type: use-case Modified: 2025-02-03 --- ## Device and Application Threats URL: https://www.anzenna.ai/use-case/device-threats/ Type: use-case Modified: 2025-02-03 --- ## Insider Cloud Data Exfiltration URL: https://www.anzenna.ai/use-case/cloud-data-exfiltration/ Type: use-case Modified: 2025-02-03 --- ## Educational Institution URL: https://www.anzenna.ai/case-studies/educational-institution/ Type: page Modified: 2025-02-02 Case Study: Anzenna & A Large Educational Institution in New York Please fill in the following details to Access the File Download File Stop exfiltration of sensitive data DDR makes it possible to stop data exfiltration across all channels with one product and one set of policies. Reduce risky user behavior DDR provides tools and controls to educate users on data hygiene best practices in real-time and understand the root-cause of insider incidents Understand data movement Using DDR, companies can understand data usage and movement as files and data are shared, modified, copied, and more. Perform internal investigations DDR captures all data operations performed on data and enables analysis and visualization to support an investigation. --- ## SaaS Threats URL: https://www.anzenna.ai/use-case/saas-threats/ Type: use-case Modified: 2025-02-02 --- ## Identity Threats URL: https://www.anzenna.ai/use-case/identity-threats/ Type: use-case Modified: 2025-02-02 --- ## Terms Of Service URL: https://www.anzenna.ai/tos/ Type: page Modified: 2025-02-01 THIS TERMS OF SERVICE (“Agreement”) is a legal agreement between Anzenna, Inc., a Delaware corporation (“Provider,” “we,” “us,” or “our”) and the customer who has registered to use our Service (“Customer,” “you,” or “your”) (each, a “Party,” and together, the “Parties”) for the use of Provider platform and service offering as defined below (“Service”). It also applies to and binds any Authorized User (as defined below) of Customer (any reference herein to you or your will include Authorized Users). BY ACCESSING OR USING OUR SERVICE, YOU ARE ACCEPTING THIS AGREEMENT. IF YOU DO NOT AGREE TO THE AGREEMENT, PLEASE DO NOT USE THE SERVICE AND EXIT IMMEDIATELY. WE RESERVE THE RIGHT TO MODIFY OR AMEND THIS AGREEMENT FROM TIME TO TIME WITHOUT NOTICE. YOUR CONTINUED USE OF OUR SERVICE FOLLOWING THE POSTING OF CHANGES TO THIS AGREEMENT WILL MEAN YOU ACCEPT THOSE CHANGES. IF YOU ARE ACCESSING AND USING THE SERVICE ON BEHALF OF A COMPANY (SUCH AS YOUR EMPLOYER) OR OTHER LEGAL ENTITY, YOU REPRESENT AND WARRANT THAT YOU HAVE THE AUTHORITY TO BIND THAT COMPANY OR OTHER LEGAL ENTITY TO THESE TERMS. IN THAT CASE, “YOU” AND “YOUR” WILL REFER TO THAT COMPANY OR OTHER LEGAL ENTITY AS WELL AS YOU INDIVIDUALLY AS AN AUTHORIZED USER ON BEHALF OF THAT COMPANY OR LEGAL ENTITY. ARBITRATION NOTICE: THIS AGREEMENT CONTAINS A DISPUTE RESOLUTION AND ARBITRATION PROVISION, INCLUDING CLASS ACTION WAIVER THAT AFFECTS YOUR RIGHTS UNDER THESE TERMS AND WITH RESPECT TO DISPUTES YOU MAY HAVE WITH PROVIDER. ACCESS AND SERVICE Description of the Service. The “Service” means the Provider SaaS-based workforce protection platform that embeds security into everyday employee workflows. The Service integrates into Customer’s existing systems and workflows via Slack/Teams by means of API and bots. It includes a dashboard that Authorized Users can view to detect and manage data security risks relating to employee workflows, including unauthorized use, and disclosure of Company Data. Implementation and Access to Customer Systems. Customer shall cooperate with Provider with respect to the implementation and integration of the Service with Customer Systems. Customer authorizes Provider to integrate the Service with Customer Systems and Devices and access such Customer Systems and Devices, including logs of activity and workflows, through API and bots. Customer shall be responsible for notifying all employees and contractors that their activity, communications, and workflows will be accessed by Provider for the purposes specified herein and for providing all notices and obtaining all consent from such individuals as may be required under applicable law. “Customer Systems” means any employee workflow (e.g. Slack, Teams), server systems, mobile devices, networks, personal computers, or other equipment owned, operated, or managed by Customer that is accessed by the Service and on which the Service is accessed. Access to Service. Subject to Customer’s compliance with this Agreement, Customer and its designated Authorized Users shall have non-exclusive right to access the Service commencing on the Start Date through the Trial Period for the Free Service and the Subscription Term for the Paid Service. The “Start Date” is the earlier of the date you register for or start using the Service. Registration. Customer is responsible for designating the employees and contractors authorized to access the Service on behalf of Customer (“Authorized User”). Each Authorized User will need to register and create an account with Provider to access the Service. You will need to create a username, password, and provide certain information about yourself as prompted by the registration form, including your name and a valid email address. You agree to provide full, complete, and accurate information when registering or creating an account, and to update that information promptly if it should change. We reserve the right to suspend or terminate your account if any information provided proves to be inaccurate, false, or otherwise in violation of this Agreement. You may not create more than one account without prior written approval from us. You will not transfer your account to any other party without our prior written consent. You agree that your username and password is Provider’s Confidential Information and not to disclose or transfer your username or password to any third party. You are responsible for any use of your account, whether authorized or not. You agree to immediately notify Provider if there is any unauthorized use of your account. License to Company Data. Customer hereby grants Provider a non-exclusive, royalty-free, fully paid-up, sublicensable (through one or more tiers of sublicensees), and transferable license to use, reproduce, create derivative works of, distribute, perform, and display Customer Content for the purpose of (i) providing the Service, and (ii) developing, maintaining, supporting, or improving the Service. Customer acknowledges and agrees that Provider may aggregate Customer Content with other data and also collect technical information and data about Customer’s use of the Service. “Company Data” means any data, links, information, media, content, or materials provided, disclosed, posted, or delivered by Customer via the Service. Customer shall not provide, disclose, or deliver any Customer Content to Provider that Customer does not own or otherwise have a valid authorization or license to do so. Restrictions. Customer may access and use the Service only for Customer’s internal business purposes. Customer may access and use the Free Service solely to evaluate the Service to determine if the Service meets Customer’s needs. Customer shall use the Service only in conformity with the Documentation. Customer shall not, and shall not permit any Customer employees or contractors to, share any account or access credentials for the Service with third parties. Customer shall establish appropriate security measures, consistent with industry standards, to protect the Service from unauthorized use. Customer shall notify Provider immediately of any actual or alleged unauthorized use of the Service. “Documentation” means the documentation, including any specifications, feature lists, or other similar characteristics, provided to Customer that describes the functionality of the Service. Customer shall not (and not allow, permit, authorize, or assist any third party to): (i) modify, adapt, translate, create derivative works of, reverse engineer, decompile, disassemble, or otherwise attempt to derive the source code of, any part of the Service; (ii) use or integrate the Service, or any component thereof, with any software, hardware, or system other than the Customer Systems (as defined below) without Provider’s express prior written agreement; (iii) sell, resell, license, sublicense, distribute, rent or lease any part of the Service or include any part of the Service in a service bureau or outsourcing offering, or encumber the Service with any lien or grant a security interest in the Service; (iv) publish or otherwise disclose to any third party any results of any benchmark or other performance tests of the Service; (v) remove, alter, or obscure any proprietary rights notices contained in or affixed to the Service; (vi) copy, frame, or mirror any part of the Service; (vii) access the Service for the purposes of monitoring its availability, performance, or functionality; (viii) access, or use any materials, content, technology, information, or data available via or forming a part of the Service in order to build a competitive product or service, or copy any features, functions, or graphics of the Service; (ix) attempt to disrupt, degrade, impair, or violate the integrity or security of the Service, including, without limitation, by executing any form of network monitoring; (x) use the Service to store or transmit any viruses, software routines, or other code designed to permit unauthorized access, to disable, erase or otherwise harm software, hardware or data, or to perform any other harmful actions; or (xi) take any action that imposes, or may impose, at Provider’s sole discretion, an unreasonable or disproportionally large load on Provider’s infrastructure. Customer Systems. Customer is solely responsible for the operation and maintenance of the Customer Systems and for having and paying for all equipment and internet access necessary to access and use the Service. Provider disclaims all warranties, express or implied, and shall have no liabilities to Customer, arising from or related to the operation or maintenance of the Customer Systems or any incompatibilities, faults, defects, or damage attributable thereto, including any interruption or damage caused to Customer Systems as a result of the Service. During the Term, Customer shall provide Provider with all access credentials, passwords, security protocols, and other information relating to Customer Systems required for the implementation and operation of the Service. Such credentials, passwords, protocols, and information will be Customer’s Confidential Information. Feedback. Customer may have the opportunity to present to Provider recommendations or feedback for new features, functionality, or other improvements to the Service (“Feedback”), which Provider will consider, at its sole discretion, implementing in future updates to the Service. The Parties agree that all Feedback is and shall be given voluntarily. Feedback, even if designated as confidential by Customer, shall not, absent a separate written agreement, create any confidentiality obligation for Provider. Customer will not provide Provider with any Feedback that Customer is not authorized or permitted to provide to Provider. Provider shall be free to use, disclose, reproduce, license or otherwise distribute, and exploit the Feedback provided to it without payment or compensation of any kind, as it sees fit, entirely without obligation or restriction of any kind on account of intellectual property rights or otherwise. Changes to Service. Customer understands and agrees that Provider may change or discontinue the Service or change or remove functionality of the Service at any time in Provider’s sole discretion. Provider will use commercially reasonable efforts to notify Customer of any material change to or discontinuation of the Service. Ownership. Except for the rights expressly granted in this Agreement, Provider retains all right, title, and interest, including all intellectual property rights, in and to the Service and the Documentation and the Resultant Data (as defined in Section 2.7 below). No implied license or right is granted by Provider by estoppel, reliance, or otherwise. Except for the rights expressly granted in this Agreement, Customer retains all right, title, and interest, including all intellectual property rights, in the Customer Content. CONFIDENTIALITY Confidential Information. The term “Confidential Information” means any information disclosed by one Party (“Disclosing Party”) to the other Party (“Receiving Party”), whether before or after the Effective Date, that: (i) is in written, graphic, machine readable, or other tangible form and is marked “Confidential,” “Proprietary,” or in some other manner to indicate its confidential nature; (ii) should be reasonably understood by Receiving Party to be the confidential or proprietary information of Disclosing Party; or (iii) that is oral information disclosed by Disclosing Party to Receiving Party, provided that such information is designated as confidential at the time of disclosure and is reduced to writing by Disclosing Party within a reasonable time after its oral disclosure, and such writing is marked in a manner to indicate its confidential nature and delivered to Receiving Party. The Service and Documentation shall be Provider’s Confidential Information. Confidentiality. Receiving Party shall treat as confidential all Confidential Information of Disclosing Party, shall not use such Confidential Information except to exercise its rights and perform its obligations under this Agreement herein, and shall not disclose such Confidential Information to any third party. Without limiting the foregoing, Receiving Party shall use at least the same degree of care it uses to prevent the disclosure of its own confidential information of like importance, to prevent the disclosure of Confidential Information of Disclosing Party. Receiving Party shall promptly notify Disclosing Party of any actual or suspected misuse or unauthorized disclosure of Disclosing Party’s Confidential Information. Exceptions. Confidential Information excludes information that Receiving Party can show: (i) was in the public domain at the time it was disclosed or has become in the public domain through no act or omission of Receiving Party; (ii) was known to Receiving Party, without restriction, at the time of disclosure, as demonstrated by files in existence at the time of disclosure; (iii) was independently developed by Receiving Party without any use of Disclosing Party’s Confidential Information; or (iv) becomes known to Receiving Party, without restriction, from a source other than Disclosing Party without breach of an obligation to keep such information in confidence. Compelled Disclosure. If the Confidential Information of Disclosing Party must be disclosed by Receiving Party pursuant to the order or requirement of a court, administrative agency, or other governmental body, Receiving Party shall: (i) provide prompt notice thereof to Disclosing Party; (ii) use its commercially reasonable efforts to cooperate with Disclosing Party to obtain a protective order or otherwise prevent public disclosure of such information; and (iii) limit the disclosure to the exact Confidential Information (or portion thereof) required to be disclosed. Confidentiality of Agreement. Customer agrees that the terms and conditions, but not the existence, of this Agreement shall be treated as Provider’s Confidential Information and that no reference to the terms and conditions of this Agreement or to activities pertaining thereto can be made in any form without the prior written consent of Provider; provided, however, that Customer may disclose the terms and conditions of this Agreement: (i) as required by any court or other governmental body; (ii) as otherwise required by law; (iii) to legal counsel of Receiving Party; (iv) in connection with the requirements of an initial public offering or securities filing; (v) in confidence, to accountants, banks, and financing sources and their advisors; (vi) in confidence, in connection with the enforcement of this Agreement or rights under this Agreement; or (vii) in confidence, in connection with a merger or acquisition or proposed merger or acquisition, or the like. Return of Confidential Information. Upon expiration or termination of this Agreement for any reason, Receiving Party shall deliver to Disclosing Party all of Disclosing Party’s Confidential Information that Receiving Party may have in its possession or control or, at Disclosing Party’s option, shall destroy all such Confidential Information and certify such destruction in a writing signed by an authorized officer of Receiving Party. Resultant Data. Notwithstanding anything to the contrary in this Agreement, Provider shall have the right to collect and analyze data and other information relating to the provision, use and performance of various aspects of the Service and related systems and technologies (including, without limitation, information concerning Customer Content and data derived therefrom) (collectively, “Resultant Data”), and Provider will be free (during and after the term of this Agreement) to (i) use such Resultant Data to improve and enhance the Service and for other development, diagnostic, and corrective purposes in connection with the Service and other Provider offerings, and (ii) disclose such Resultant Data solely in aggregate or other de-identified form, provided that we will not disclose Customer or any specific Confidential Information of Customer in connection with Provider’s use of such Resultant Data. REPRESENTATIONS AND WARRANTIES; DISCLAIMER Organization; Authority. Each Party represents and warrants to the other Party that such Party is a corporate entity duly organized, validly existing, and in good standing under the laws of the state or country first indicated above as such Party’s state or country of incorporation, and such Party has all necessary corporate power and authority to execute and deliver this Agreement, to perform its obligations under this Agreement, and to consummate the transactions contemplated hereby. Customer Warranties. Customer hereby represents and warrants to Provider that: (i) Provider’s use, reproduction, modification, distribution, performance, and display of the Customer Content will not infringe, violate, or misappropriate any intellectual property rights of a third party; (ii) Customer exclusively owns or has a valid and written license agreement to all Customer Content provided to Provider via the Service or otherwise and has all rights necessary to grant to Provider the rights and licenses contained in this Agreement; (iii) Customer’s providing, disclosing, and delivering of Customer Content will not violate any applicable laws, regulations, contractual commitments or privacy commitments; and (iv) the Customer Content does not include any viruses, trap doors, time bombs, Trojan horses or other malicious code. Disclaimer. THE SERVICE IS PROVIDED BY PROVIDER “AS IS,” AND NEITHER PROVIDER NOR ITS LICENSORS MAKE ANY REPRESENTATIONS OR WARRANTIES OF ANY KIND, WHETHER EXPRESS OR IMPLIED, BY STATUTE, USAGE, TRADE CUSTOM, OR OTHERWISE, AND PROVIDER HEREBY DISCLAIMS ANY AND ALL WARRANTIES, REPRESENTATIONS, OR CONDITIONS, INCLUDING, WITHOUT LIMITATION, THE IMPLIED WARRANTIES OF NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR ANY INTENDED OR PARTICULAR PURPOSE. PROVIDER DOES NOT GUARANTEE OR WARRANT THAT THE SERVICE WILL BE FREE OF DEFECTS, RUN ERROR-FREE OR UNINTERRUPTED, MEET CUSTOMER’S REQUIREMENTS, OR BE SECURE. ORDERS, FREE AND PAID SERVICE Order. Customer may order the Service by executing an order form in the form specified by Provider (“Order Form”). The Order Form shall specify whether there is any free trial period (“Trial Period”), the subscription term (monthly, annual) (“Subscription Term”), the fees to be paid, the Customer Systems to be monitored by the Service, the number of Authorized Users, and any other special terms and conditions. No Order Form is binding on Provider until accepted in writing by Provider. The Subscription Term shall automatically renew for successive Subscription Terms of equal length on the terms of the Order unless terminated by either party prior to the end of the then-current Subscription Term, provided that any price increases as specified in Section 4.3 shall take effect at the beginning of the next Subscription Term. Free Service. If Provider provides the Service free of charge during a Trial Period (“Free Service”), then such Service will be provided on as-is basis without any obligation of indemnity or warranty of any kind. Provider may terminate the Free Service at any time at its sole discretion. At the end of the Trial Period, the Service will convert to a paid Service according to the Provider’s then-standard rates for the Service for a monthly Subscription Term, unless Customer cancels the Service prior to the end of the Trial Period. Fees and Payment. Customer shall pay all fees and charges for the Service as specified by Provider in the Order Form. Customer is responsible for paying all taxes incurred in connection with the Service, including sales, use and VAT taxes, except to taxes on Provider’s income. Any late payments shall accrue interest at the rate of 12% per annum or the maximum amount permitted by law, whichever is lower. Provider also reserves the right to increase fees at any time on 30 days’ notice, provided that any fee increase will not apply until the next Subscription Term. INDEMNIFICATION Customer Indemnity. Customer, at its expense, shall defend, or at Customer’s option, settle, any third-party claim, demand, suit, action, or proceeding made or brought against Provider, its affiliates, and its and their directors, employees, agents, and representatives (the “Provider Indemnified Parties”) alleging: (i) death, personal injury, or damage to property (whether real or personal); (ii) any costs, damages, liabilities, losses, or expenses arising out of use of the Service (except for Claims Against Customer); (iii) costs, damages, liabilities, losses, or expenses arising out of any act or omission by Customer; (iv) facts, that if true, would constitute a breach of Customer’s representations, warranties, and covenants under this Agreement; (v) Provider’s using, reproducing, modifying, distributing, performing, or displaying of the Customer Content infringes, violates, or misappropriates any intellectual property, privacy or other right, or any law, regulation, or order relating to privacy of personal data (each a “Claim Against Provider”), and shall indemnify and hold harmless the Provider Indemnified Parties from and against any and all costs, damages, liabilities, losses, judgments, and expenses (including reasonable attorneys’ fees) incurred by or awarded against a Provider Indemnified Party arising out of or in connection with a Claim Against Provider. The applicable Provider Indemnified Party shall notify Customer promptly in writing of the Claim Against Provider, provide reasonable assistance in connection with the defense and settlement thereof, and permit Customer to control the defense and settlement thereof. Customer shall not settle any Claim Against Provider without Provider’s prior written consent. A Provider Indemnified Party may, at its expense, participate in any Claim Against Provider with counsel of its choice. . Provider Indemnity. Provider, at its expense, shall defend, or at Provider’s option, settle, any third-party claim, demand, suit, action, or proceeding made or brought against Customer, its affiliates, and its and their directors, employees, agents, and representatives (the “Customer Indemnified Parties”) alleging that the Service (excluding the Customer Data) if used in accordance with this Agreement infringes, violates, or misappropriates any intellectual property, privacy or other right, or any law, regulation, or order relating to privacy of personal data (each a “Claim Against Customer”), and shall indemnify and hold harmless the Customer Indemnified Parties from and against any and all costs, damages, liabilities, losses, judgments, and expenses (including reasonable attorneys’ fees) incurred by or awarded against a Customer Indemnified Party arising out of or in connection with a Claim Against Customer. The applicable Customer Indemnified Party shall notify Provider promptly in writing of the Claim Against Customer, provide reasonable assistance in connection with the defense and settlement thereof, and permit Provider to control the defense and settlement thereof. Provider shall not settle any Claim Against Customer without Customer’s prior written consent. A Customer Indemnified Party may, at its expense, participate in any Claim Against Customer with counsel of its choice. LIMITATION OF LIABILITY IN NO EVENT WILL PROVIDER BE LIABLE TO CUSTOMER OR TO ANY THIRD PARTY FOR ANY LOSS OF USE, SECURITY, OR DATA BREACH, LOSS OF REVENUE OR PROFIT OR LOSS OF DATA, OR FOR ANY CONSEQUENTIAL, INCIDENTAL, INDIRECT, EXEMPLARY, SPECIAL OR PUNITIVE DAMAGES, WHETHER ARISING OUT OF BREACH OF CONTRACT, TORT (INCLUDING NEGLIGENCE), OR OTHERWISE, REGARDLESS OF WHETHER SUCH DAMAGE WAS FORESEEABLE AND WHETHER OR NOT PROVIDER HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. PROVIDER’S AGGREGATE LIABILITY UNDER THIS AGREEMENT SHALL NOT EXCEED $100. THE DISCLAIMERS AND LIMITATIONS IN SECTION 3.3 AND THIS SECTION 6 WILL APPLY NOTWITHSTANDING ANY FAILURE OF ESSENTIAL PURPOSE OF ANY LIMITED REMEDY AND TO THE MAXIMUM EXTENT PERMITTED UNDER APPLICABLE LAW. TERM AND TERMINATION Term. The term of this Agreement shall commence on the Start Date and continue until the expiration of the Trial Period or the Subscription Term, whichever is later, hereunder or as earlier terminated in connection with this Section. Any Subscription Term shall automatically renew for successive Subscription Terms of equal length unless either Party provides notice of non-renewal prior to the end of the then current term. Termination for Breach. Provider may terminate this Agreement upon written notice to the Customer in the event that Customer materially breaches this Agreement and fails to cure such material breach within 30 days after receipt of written notice thereof. Suspension and Termination. Notwithstanding anything to the contrary in this Agreement, if Customer violates the restrictions set forth in Section 1.6 or Section 2, Provider may immediately upon written notice to Customer, suspend or terminate Customer’s access to the Service. Effect of Termination; Survival. Expiration or termination of this Agreement will not relieve Customer of its obligations to pay any amounts accrued or otherwise owed under this Agreement. Upon expiration or termination of this Agreement, all licenses or rights granted to Customer hereunder shall terminate and Customer shall not, and shall not attempt to, access or use the Service. The provisions of Sections 1.5-1.8, and 2–9 shall survive any expiration or termination of this Agreement. DISPUTE RESOLUTION Arbitration. The parties shall use their best efforts to settle any dispute, claim, question, or disagreement directly through good-faith negotiations, which shall be a precondition to either party initiating a lawsuit or arbitration. Except for disputes relating to Provider’s or its licensor’s intellectual property (such as trademarks, trade dress, domain names, trade secrets, copyrights, and patents), all claims arising out of or relating to this Agreement and your use of the Services shall be finally settled by binding arbitration administered by the American Arbitration Association in accordance with the provisions of its Commercial Arbitration Rules. The arbitration will take place in Santa Clara County, California. The arbitrator, and not any court or agency, shall have exclusive authority to resolve all disputes arising out of or relating to this Agreement, including, but not limited to, any claim that all or any part of this Agreement is void or voidable. The arbitrator shall be empowered to grant whatever relief would be available in a court; provided, however, that the arbitrator will not have authority to award damages, remedies, or awards that conflict with this Agreement. The arbitrator’s award shall be binding on the parties and may be entered as a judgment in any court of competent jurisdiction. You agree not to participate in claims brought in a private attorney general or representative capacity, or consolidated claims involving another person’s account, if Provider is a party to the proceeding. This dispute resolution provision will be governed by the Federal Arbitration Act. GENERAL PROVISIONS Force Majeure. Notwithstanding anything else in this Agreement, no default, delay, or failure to perform on the part of either Party will be considered a breach of this Agreement if such default, delay, or failure to perform is shown to be due to causes beyond reasonable control of the Party charged with a default, including, but not limited to, causes such as strikes, lockouts or other labor disputes, riots, civil disturbances, actions or inactions of governmental authorities or suppliers, epidemics, war, embargoes, severe weather, fire, earthquakes, acts of God or the public enemy, nuclear disasters, or default of a common carrier. Governing Law and Jurisdiction. This Agreement will be governed by and construed and enforced in accordance with the laws of the State of California, without reference to conflict of laws principles. Each Party hereby irrevocably submits to the jurisdiction of the state and federal courts in the State of California with regard to any dispute arising out of or relating to this Agreement that is not subject to arbitration. The Parties hereby disclaim and exclude the application hereto of the United Nations Convention on Contracts for the International Sale of Goods. Injunctive Relief. Customer acknowledges and agrees that any breach of its obligations with respect to Confidential Information and intellectual property rights may cause substantial harm to Provider, which could not be remedied by payment of damages alone. Accordingly, Customer hereby agrees that Provider will be entitled to seek preliminary and permanent injunctive relief in any jurisdiction where damage may occur without a requirement to post a bond, in addition to all other remedies available to it for any such breach. Independent Contractors. The relationship of the Parties established by this Agreement is that of independent contractors, and nothing contained in this Agreement will be construed to (i) give either Party the power to direct and control the day-to-day activities of the other; (ii) constitute the Parties as partners, joint venturers, co-owners, or otherwise as participants in a joint or common undertaking; or (iii) allow either Party to create or assume any obligation on behalf of the other Party for any purpose whatsoever. Binding Effect. This Agreement will be binding upon and inure to the benefit of the Parties hereto, their successors, and permitted assigns. Amendments. No modification of, or amendment to, this Agreement will be effective unless in writing signed by an authorized representative of both Parties. Partial Invalidity. If any provision of this Agreement is held to be invalid or unenforceable by a court of competent jurisdiction, then the remaining provisions will, nevertheless, remain in full force and effect, and such provision will be reformed in a manner to effectuate the original intent of the Parties as closely as possible and remain enforceable. If such reformation is not possible in a manner that is enforceable, then such term will be severed from the remaining terms, and the remaining terms will remain in effect. No Waiver. No waiver of any term or condition of this Agreement will be valid or binding on either Party unless the same will have been mutually assented to in writing by an officer of both Parties. The failure of either Party to enforce at any time any of the provisions of this Agreement, or the failure to require at any time performance by the other Party of any of the provisions of this Agreement, will in no way be construed to be a present or future waiver of such provisions, nor in any way affect the ability of either Party to enforce each and every such provision thereafter. Construction. The titles and section headings used in this Agreement are for ease of reference only and shall not be used in the interpretation or construction of this Agreement. No rule of construction resolving any ambiguity in favor of the non-drafting Party shall be applied hereto. The word “including,” when used herein, is illustrative rather than exclusive and means “including, without limitation.” Entire Agreement. This Agreement sets forth the entire agreement and understanding of the Parties relating to the subject matter herein and supersedes all prior and contemporaneous communications, representations, discussions, and agreements between the Parties with respect to such subject matter. Assignment. Customer shall not assign or delegate this Agreement or any of its licenses, rights, or duties under this Agreement (whether by merger, sale of assets, sale of equity, or otherwise) without the prior written consent of Provider, and any purported assignment shall be void and of no force or effect. Provider may freely assign or delegate this Agreement or any of its licenses, rights, or duties hereunder in Provider’s sole discretion. Notices. Any notice or other communication required or permitted to be delivered hereunder must be in writing and sent by reasonable means to the address of each Party set forth above. Such notice will be deemed to have been given when delivered, or, if delivery is not accomplished as a result of some action or inaction by the recipient, when tendered. --- ## Firewall URL: https://www.anzenna.ai/case-studies/firewall/ Type: page Modified: 2025-02-01 Case Study: Anzenna & A Large Educational Institution in New York Please fill in the following details to Access the File Download File Stop exfiltration of sensitive data DDR makes it possible to stop data exfiltration across all channels with one product and one set of policies. Reduce risky user behavior DDR provides tools and controls to educate users on data hygiene best practices in real-time and understand the root-cause of insider incidents Understand data movement Using DDR, companies can understand data usage and movement as files and data are shared, modified, copied, and more. Perform internal investigations DDR captures all data operations performed on data and enables analysis and visualization to support an investigation. --- ## Use Cases Recent URL: https://www.anzenna.ai/use-cases-recent/ Type: page Modified: 2025-01-29 Use cases Anzenna computes an AI-based security risk score for every employee and team, taking into account a multitude of factors including behavior and access. All Data Exfiltration Threat Management Organizational Risk Data and IP Exfiltration Identify unauthorized data transfers and safeguard valuable IP with real-time detection. Know more Source code Exfiltration Protect proprietary source code and maintain competitive advantage Know more Cloud Data Exfiltration Shield your cloud data from unauthorized and inadvertent leaks with proactive oversight. Know more Identity Threats Safeguard against credential theft and account takeovers with continuous, real-time vigilance. Know more Device Threats Go beyond basic endpoint protection by safeguarding devices against malicious applications, hidden ransomware & session hijacking. Know more SaaS Threats Protect your data by preventing employees from transferring sensitive data to unauthorized third party applications. Know more Phishing and Malware Threats Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text. Know more Anzenna Platform Capabilities Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text. Know more High Risk Employees Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text. Know more M&A Subsidiaries Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text. Know more Data and IP Exfiltration Identify unauthorized data transfers and safeguard valuable IP with real-time detection. Know more Source code Exfiltration Protect proprietary source code and maintain competitive advantage Know more Cloud Data Exfiltration Shield your cloud data from unauthorized and inadvertent leaks with proactive oversight. Know more Identity Threats Safeguard against credential theft and account takeovers with continuous, real-time vigilance. Know more Device Threats Go beyond basic endpoint protection by safeguarding devices against malicious applications, hidden ransomware & session hijacking. Know more SaaS Threats Protect your data by preventing employees from transferring sensitive data to unauthorized third party applications. Know more Phishing and Malware Threats Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text. Know more Data and IP Exfiltration Identify unauthorized data transfers and safeguard valuable IP with real-time detection. Know more Source code Exfiltration Protect proprietary source code and maintain competitive advantage Know more Cloud Data Exfiltration Shield your cloud data from unauthorized and inadvertent leaks with proactive oversight. Know more --- ## Use Cases – Old URL: https://www.anzenna.ai/use-cases-old/ Type: page Modified: 2025-01-28 Use cases Anzenna computes an AI-based security risk score for every employee and team, taking into account a multitude of factors including behavior and access. Data Security and Exfiltration Lorem ipsum dolor sit amet consectetur. Arcu porttitor ultrices suspendisse ultrices facilisi et sit enim. Leo ac quis quisque varius purus habitant blandit nunc. Data and IP Leaks View Usecase Source code Exfiltration View Usecase Cloud Data Exfiltration View Usecase Threat Management Lorem ipsum dolor sit amet consectetur. Arcu porttitor ultrices suspendisse ultrices facilisi et sit enim. Leo ac quis quisque varius purus habitant blandit nunc. Identity Threats View Usecase SaaS Threats View Usecase Insider Device Threats View Usecase Phishing and Malware Threats View Usecase Organizational Risk and Operational Capabilities Lorem ipsum dolor sit amet consectetur. Arcu porttitor ultrices suspendisse ultrices facilisi et sit enim. Leo ac quis quisque varius purus habitant blandit nunc. High Risk Employees View Usecase M&A and Subsidiaries View Usecase Anzenna Platform Capabilities View Usecase --- ## Company URL: https://www.anzenna.ai/company/ Type: page Modified: 2024-11-28 ---