AI DLP and insider risk,
on one Identity-Data-Action graph

Anzenna reads 130+ identity, SaaS, cloud and security sources and adds a browser extension and endpoint agent where data leaves. It ties every AI action and data movement to the person behind it and hands your team a finished case instead of an alert.

Request a demo ↗Open the interactive demo
The Anzenna console: Data Loss Prevention view with sensitive events, blocked uploads and users at risk, on sample data

Drive the console yourself

An interactive tour of the Anzenna console. On the AI DLP side, write a data-protection policy in plain language and watch the verdict land on the employee's screen. Flip to Insider Risk to open a live investigation, follow the evidence timeline, and read the agent's reasoning. Sample data throughout.

Open full screen ↗Every person, policy and number in the tour is fabricated.

The sensing layer

Lightweight integrations across 130+ sources, plus a browser extension and endpoint agent at the AI boundary. Okta, Google Workspace, Microsoft 365, GitHub, Slack, Snowflake, and more. Rolls out through your MDM.

  • 130+ integrations
  • Browser at the AI boundary
  • Browser and endpoint
  • Deploys through your MDM
Anzenna AI Governance console: the AI services in use across the org, ChatGPT, Claude, Cursor, Perplexity and DeepSeek, each tied to the people using it and the signals behind it
AI Governance: every AI tool in use, tied to the people and the signals behind it.

The reasoning layer

The Identity-Data-Action graph links people, data and AI use. Investigation agents tie every AI action and data movement to a person and weigh it against their peer-group baseline, catching what rule-based DLP and static thresholds miss.

  • AI DLP
  • Insider risk
  • Peer-group baselines
  • Weak-signal correlation
Anzenna investigation case: the agent's reasoning shown as a numbered sequence of tool calls, with the investigation summary and a confidence level alongside
The investigation agent's reasoning, step by step, with a confidence level.

The action layer

One workspace for AI DLP and insider-risk teams. Case files written by an agent, reviewed by a human, audited end-to-end. Signal, not noise.

  • Human-in-the-loop
  • Full audit trail
  • Revoke, quarantine, notify
  • One workspace
Anzenna DLP policies console: enforcement rules with Block, Warn, Redact and Monitor actions, the enforcement mix, and the flagged-events feed
DLP policies and enforcement: block, warn, redact or monitor, all audited.

Built for the full picture

見

See the AI boundary.

Every AI tool your people reach, sanctioned or shadow, and every sensitive paste, upload, or prompt heading into it.

量

Weigh by behavior.

Peer-group baselines, not thresholds. Each person's AI use and data movement measured against their own past and their team's rhythm.

守

Act in one motion.

Block, redact, revoke, or quarantine at the moment of risk, with a case file and full audit trail behind every decision.

静

No alert fatigue.

The agent decides what matters and drops what doesn't. A queue of cases, not a wall of alerts.

天

Protect the human.

Evidence before action. A person reviews every consequential decision, so trust and due process are preserved.

和

One workflow.

Security, HR, and legal on the same insider case, with no gaps, no re-explaining, no lost context.

Ready to see it on your data?

Request a demo ↗Explore use cases
The short version

The platform, in plain terms.

  • Anzenna is AI DLP and insider risk management, on one Identity-Data-Action graph that spans identity, endpoint, browser, SaaS and cloud.
  • It catches sensitive data heading for AI tools and the insider risk building behind it, then AI investigation agents turn the signals into a defensible case file, so your analysts decide instead of search.
  • It reasons over behavior and context to separate real risk from noise across the whole stack, from one place.
  • One platform for six jobs: AI DLP, insider risk, identity threats, data and IP protection, alert triage, and SaaS posture.
  • See it on your own environment in a 30-minute demo.
Questions

Answered, plainly.

What is the Anzenna platform?

A platform for AI DLP and insider risk management. It unifies identity, endpoint, browser, SaaS, and cloud into one Identity-Data-Action graph and runs AI investigation agents on top, so you see and act on real risk from one place, without the alert fatigue.

How do the investigation agents work?

They correlate signals across your stack, gather the surrounding evidence, weigh it against a 90-day behavioral baseline, and produce a defensible case file with a recommended action, in under 2 minutes median.

What gets installed?

Most of Anzenna runs over API connections to your identity provider, SaaS, cloud and security tools, and those take minutes to set up. For AI DLP you add a browser extension for Chrome, Edge and Firefox, plus an endpoint agent on Mac and Windows where people use Claude Code, Cursor or desktop AI apps. Both roll out through the MDM you already use, such as Jamf, Intune or Kandji.

What does the platform connect to?

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

Does it replace my SIEM, DLP, or UEBA?

It sits on top of your SIEM and tools, adding the correlation and reasoning that turn raw alerts into investigations, and it can consolidate DLP (data loss prevention) and UEBA (user and entity behavior analytics).

Is Anzenna secure and compliant?

Anzenna is SOC 2 (System and Organization Controls) Type II attested and Microsoft 365 certified. API connections use read-only, revocable access wherever the tool allows.