One worldview.
Every signal.

Anzenna unifies Identity, Endpoint, and SaaS into a single plane of understanding, so an investigation takes minutes, not days.

The shape of knowing.

Every human signal flows into one engine. Every concern flows out as a case file you can act on.

Architecture diagram: Human Activity sources flow into the Anzenna engine

One graph. Every person, every device, every app.

The sensing layer

Lightweight integrations across 130+ sources. Okta, Google Workspace, Microsoft 365, GitHub, Slack, Snowflake, CrowdStrike, and more. No agents on endpoints.

130+ integrationsNo endpoint agentRead-only by default15-min install
Integrations admin dashboard showing connected sources

The reasoning layer

A unified graph of people, devices, apps, and data. Autonomous investigation agents correlate weak signals across domains, the quiet patterns a human analyst would miss.

Identity x Endpoint x SaaSBehavioral baselinesPeer-group analysisWeak-signal correlation
Investigation graph showing correlated signals across surfaces

The action layer

One workspace for SOC analysts, insider-risk teams, and investigators. Case files written by an agent, reviewed by a human, audited end-to-end. Silence the noise.

Human-in-the-loopAudited decisionsSOAR-compatibleOne workspace
Case file showing investigation results with recommendationsApprove and act modal with response options

Built for the full picture.

See clearly.

A living graph of every person, device, and app. Weak signals that would be invisible alone, correlated into a single story.

Weigh truly.

Peer-group baselines, not thresholds. Behavior is compared to the employee's own past, and to the team's own rhythm.

Act gently.

A case file, not an alert. Evidence, explanation, and a proposed remediation, all reviewable, all audited.

Silence the noise.

The agent decides what matters and drops what doesn't. Your queue shrinks. Your signal sharpens.

Protect the human.

The agent always presents evidence before action. A person reviews every consequential decision. Trust, preserved.

Move as one.

SOC, HR, legal, and IT in a single coordinated workflow. No gaps, no re-explanations, no lost context.

The Investigation Agent.

Every alert triggers an agent. The agent reads every available signal, writes the narrative, scores the confidence, and proposes a response. Your analyst reviews, decides, and closes.

Fourteen thousand alerts become ninety case files. Ninety decisions, not fourteen thousand pivots.

ANZ-2024-0847
Unusual data movement — Mira Sato
Risk 9.2Under review
M
Mira Sato
Data Scientist · Analytics · Tenure 2.3 yr
Confidence
87%
Timeline
09:14
Snowflake query: SELECT * FROM CUSTOMER_FACTS4.1M rows
09:17
CSV export to ~/Downloads/cf_export.csv (2.3 GB)
09:31
Google Drive upload to personal account alias
Signals
Snowflake Bulk exportEndpoint Large file writeDLP Personal cloud uploadHR No departure flag
Agent verdict
Self-exfiltration pattern. 87% confidence. Recommend immediate session review and manager notification before data spreads further.

Ready to see it on your data?

Request a demo Explore use cases