Use case
AI Threats
Block Exfiltration to unapproved AI Platforms
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
SaaS Threats
Insider Cloud Data Exfiltration
