AI is the
new Insider

AI DLP and Insider Risk, without the alert fatigue. Every AI action tied to an identity and weighed in context, so you govern the AI you know and find the AI you don't.

SOC 2 Type II130+ integrationsBrowserEndpoint

Trusted by security teams who govern how their companies use AI.

AI DLP

The leak moved to the prompt

Sensitive data now leaves as pasted text, and classic DLP was never built to see it. Anzenna ties every flow to the person behind it, and answers with a verdict instead of an alert flood.

SR
Sam Reyes · Sales
pasted 14k customer rows
ChatGPTChatGPT · personalBlocked
GeminiGemini · personalRedacted
Microsoft CopilotCopilot · enterpriseAllowed · logged
Google DrivePersonal DriveBlocked

One paste, four destinations, four different answers. The verdict follows the person, the data, and the tool. Illustrative.

Allow. Routine

A support agent summarizing a non-sensitive ticket in a sanctioned assistant.

Coach. Negligent

A rushed employee pasting a customer list into a personal account to move faster.

Escalate. Malicious

A departing engineer feeding the core repo into an AI tool. The case opens before the data is gone.

AI DLP without the alert fatigue. What reaches your team is a reasoned case file, not a raw alert: who, what data, which tool, and why it matters. Anzenna connects to the tools you already run through their APIs.

Anzenna Policy Builder — data-protection policies written in plain language, with deployment toggles An employee's screen at a generative AI site — Anzenna blocks the sensitive upload with the reason shown, and the event is recorded as Blocked with the person and policy attached Anzenna Data Loss Prevention dashboard — sensitive events, destinations and policies in one view

Want to drive it yourself? The full interactive tour of the console lives on the product page. Sample data throughout.

Tour the product
81,400
AI uploads blocked
Production deployments, trailing 12 months.
~90%
Fewer alerts reaching analysts
Across the same deployments.

Insider Risk

Exfiltration is the last step. We see the first.

An insider incident starts long before the file moves. Anzenna reads the whole path, from the first signal.

Anzenna Investigations dashboard: users under investigation ranked by risk, Evan Cole topping the board at risk 8.8 with Critical, Elevated and Moderate outcomes after mirroring six repos and moving 4.8 GB of Drive to a personal Claude session Anzenna investigation case for Evan Cole: a multi-vector exfiltration evidence timeline with agent reasoning and an investigation summary, assembled across code, data, AI and identity at 91% confidence

The console on sample data. Every investigation ranked by risk, every case pre-assembled from identity, endpoint, SaaS and HR signals. The live demo now toggles between AI DLP and Insider Risk.

Tour the product

One.The tipping point

Notice given. A passed-over promotion. A recruiter's offer.

Anzenna sees the HR status change and the first shift away from normal.

Two.Quiet collection

Repos cloned, rarely-opened Drive folders browsed, more pulled together than the role has ever needed.

Anzenna sees the volume break from the employee's peer-group baseline.

Three.Covering tracks

Archives renamed, files zipped, history cleared, data staged toward a personal account.

Anzenna sees the obfuscation pattern and ties it to stages one and two.

Four.Exfiltration

The data finally leaves: a USB drive, a personal cloud, an upload.

This is where most tools start looking. By now the case should already be open.

Anzenna watches from the first signal. Most tools start at the last one.

Risk climbs long before the file moves.

One insider case, scored across the four stages.

FIRST SIGNAL EXFILTRATION Anzenna opens the case Most tools look here 12 34 61 88
79,500
Exfiltrations blocked
Production deployments, trailing 12 months.
“Anzenna caught a four-million-dollar IP exfiltration three days before the employee's last day. Our old SIEM never would have seen it.”CISO, Manufacturing

The case file writes itself

Watch a signal become a decision. No queue, no pivoting between tools, no search.

investigation-agent · replay
signal 41 MB push → personal fork (github)
correlate okta session · m365 activity · snowflake reads
baseline +4.8σ against the 90-day peer baseline
context HR: attrition flagged · tenure 11 mo
reason narrative assembled · confidence 87%
case INS-2026-0891 ready for review
A ripple in the source tree
Jordan Park · Staff Engineer · Platform
triggerCriticalBulk push → personal fork (github)
signalsGITHUBOKTAM365SNOWFLAKE
posturerole high · tenure 11 mo · attrition flagged
verdictAuto-remediate Revoke & quarantine pending manager ack
reasoning,41 MB push spans a P0 repo to a fork under an account outside SSO. Access pattern is anomalous against a 90-day baseline. HR intersects with a high-risk window. Recommend revoke and quarantine until the manager acknowledges in person.
A replay of the case file on sample data. Try an action, or watch it run across your tools in a 30-minute demo.

The quiet numbers

What changes when security stops reacting and starts reasoning. Composite figures from production deployments across the last twelve months.

1M+
Identities protected across cloud, SaaS and endpoints.
$4M
Largest IP theft prevented, catching exfiltration before sensitive data ever left the building.
90%
Fewer alerts surface to analysts. Signal without the shouting.
<2min
Median time from signal to a complete case file, with all evidence gathered and ready for review.

Every tool you tend. Quietly listening.

Okta Google Workspace Microsoft 365 GitHub Slack Snowflake CrowdStrike Amazon Web Services (AWS) Salesforce Zoom Jira Notion Zendesk Box Workday Asana Datadog Splunk Okta Google Workspace Microsoft 365 GitHub Slack Snowflake CrowdStrike Amazon Web Services (AWS) Salesforce Zoom Jira Notion Zendesk Box Workday Asana Datadog Splunk

The seals on the shoji door.

Independent attestations, honest data practices, and a security program that holds up under audit. The quiet promise behind every signal we receive.

See our trust center
AICPA SOC 2 attestation badge
SOC 2 Type II
Audited annually
Microsoft 365 certification badge
Microsoft 365 Certified
With external pentest
The short version

Anzenna, in plain terms.

  • Anzenna is agentless AI DLP and insider risk management. There is nothing to install on endpoints, it connects to the tools you already run through their APIs.
  • It catches sensitive data heading for AI tools and the insider risk building behind it, across identity, SaaS, cloud, and endpoint, and turns it into cases instead of alert noise.
  • One AI investigation agent reasons over a behavioral graph to turn alert floods into a single, defensible case file, instead of one alert per anomaly.
  • Typical results across production deployments (last 12 months): 1M+ identities protected, around 90% fewer alerts reaching analysts, and under 2 minutes median from signal to a complete case file.
  • Get started with a 30-minute demo on your own environment, or tour the product.
Questions

Asked, answered.

What is Anzenna?

Anzenna is an agentless platform for AI DLP and insider risk. It watches how data and AI are used across your stack and flags real risk with the context to act, without installing software on endpoints or drowning your team in alerts.

Is Anzenna really agentless?

Yes. It connects to your identity providers, SaaS, cloud, and endpoint tools through their APIs, so there is nothing to deploy or maintain on a device.

What does Anzenna integrate with?

130+ sources, including Okta, Microsoft 365, Google Workspace, GitHub, Snowflake, CrowdStrike, Slack, and Salesforce. See the full list on the integrations page.

How fast is an investigation?

Under 2 minutes median from the first signal to a complete case file, with evidence gathered and a recommended action, based on composite figures across production deployments over the last 12 months.

Does Anzenna replace my SIEM, DLP, or UEBA?

It can consolidate DLP (data loss prevention) and UEBA (user and entity behavior analytics), or integrate with what you already run and add the behavioral context they lack. It sits on top of your SIEM rather than replacing it.

Is Anzenna secure and compliant?

Anzenna is SOC 2 (System and Organization Controls) Type II certified and Microsoft 365 certified, with an external penetration test, and aligns to the NIST Cybersecurity Framework.

What is AI DLP?

AI DLP is data loss prevention at the AI boundary, where sensitive data often leaves as pasted text, not just as a file. Anzenna ties each flow to employee identity and behavioral context, so the paste into a personal AI account surfaces as a reasoned case. Read more on the AI DLP page.

Can Anzenna stop data going into ChatGPT or Claude?

Yes. Anzenna correlates identity, SaaS, and data signals to surface sensitive content heading toward generative tools, including personal accounts, and can revoke access or notify in one click. It reasons over behavior, so it catches flows that classic DLP rules miss.

What use cases does Anzenna cover?

SOC (security operations center) triage, insider risk, identity threats, data and IP protection, AI threats, and SaaS posture, all from one agentless platform.

Find your calm.

Thirty minutes. Your environment. No slides.