UEBA,
minus the noise.

Behavioral analytics that act, not just alert. Legacy UEBA waits for logs, fires on rules, and buries your team in false positives. Anzenna baselines every person and entity against their peers, then turns the anomalies that matter into investigated cases.

Legacy UEBA waits.

Traditional behavior analytics piece together logs, if you managed to ingest them, and anomalies, if you wrote the rules, long after the data has already left the building. By the time a flag fires, the moment is gone.

It treats every user the same and floods the SOC with statistical noise. Roughly half of the alerts are false, and the ones that matter are buried among them.

And it taxes the SIEM you already pay for: UEBA skew to ingest, license, and maintain. Behavior analytics should cut cost and noise, not add them.

Baselined against peers, not thresholds.

Anzenna learns what normal looks like for each person and entity against their peer group, by role, team, and tenure, then weighs live behavior against it, tied to identity, device, and history. An engineer cloning their own repo is normal; the same pattern from a departing contractor is not.

  • Peer-group baselines, not static thresholds that age the day you set them.
  • Weak-signal correlation across identity, endpoint, SaaS, and data, joined into one graph.
  • Risk scores per employee and team, with the vulnerabilities to fix first.
Anzenna peer-group behavioral baselines tying anomalies to the person and entity behind them

Three reads on the same behavior.

An anomaly is not a verdict. The same deviation means different things depending on who, and why.

Normal

A deviation that fits the person's role, peers, and history once you see the context.

Confirm. Learn it into the baseline, no alert raised.
Drifting

Behavior pulling away from baseline, early and quiet, with no single line that screams.

Watch. Correlate the weak signals before they compound.
Malicious

A pattern that breaks baseline and matches known abuse, in the worst possible context.

Investigate. Open the case with the evidence attached.

A written case, not a statistical blip.

Anzenna surfaces the anomaly as a reasoned case, with the baseline, the peer comparison, and the identity behind it, not a red dot on a chart for an analyst to chase.

Repo clones at 22x the team baseline, four days from exit.High
Over baseline
22x
Peer percentile
99th
Window
36 h
Identity
1
Access
bulk repo clone, off-hours
Context
resignation · 4 days to exit
Destination
unmanaged personal device
RecommendedOpen the case, preserve the evidence, notify the HR partner.

From raw logs to resolved case.

Anzenna delivers the behavior analytics UEBA promised, grounded in the same graph it uses for insider risk, agentless from day one.

01

Connect

Read-only API access across 130+ identity, SaaS, cloud, and endpoint sources. No agents, no log pipeline to build.

02

Baseline

Learn normal for every person and entity against their peer group over a rolling window, instead of hand-tuned thresholds.

03

Correlate

Join weak signals across identity, endpoint, SaaS, and data into insights no siloed tool can produce.

04

Resolve

Surface the anomaly as an investigated case, routed to SIEM, Slack, email, or Jira, with a full audit trail.

Rules and thresholds age. Behavior in context doesn't.

Legacy UEBA treats every user the same and bills you twice, once to ingest the data and once to tune the rules. Anzenna reasons over identity, peers, and behavior, so the signal stays accurate and the noise stays down.

Capability
Anzenna
Legacy UEBA
Peer-group baselines
Static thresholds & hand-written rules
Weak-signal correlation across domains
Siloed, per-source anomalies
Output
Prioritized, reasoned case file
Raw anomaly alert
False positives
90% fewer alerts to analysts
About half of alerts are false
SIEM cost
Cuts UEBA ingestion skew
Adds ingestion & licensing cost
Deployment
Agentless, live in minutes
Agents & long tuning cycles

Common questions.

What is UEBA?
User and entity behavior analytics learns what normal looks like for every user, endpoint, and application, then flags the deviations that may signal a threat. Anzenna delivers it agentlessly, grounded in peer-group baselines and identity rather than static rules.
Does Anzenna replace our UEBA?
Yes. Anzenna consolidates UEBA, insider risk management, and CASB / SaaS security into one platform, and eliminates the UEBA skew you ingest into the SIEM, removing that maintenance and licensing cost.
How is it different from legacy UEBA?
Legacy UEBA scores users against static thresholds and fires noisy, siloed alerts. Anzenna baselines against peer groups, correlates weak signals across identity, endpoint, SaaS, and data, and delivers an investigated case file instead of a raw anomaly, agentless and live in minutes.
Does it work with our SIEM?
Anzenna publishes its insights into your SIEM and via API, so your SOC consumes them without dashboard sprawl, while lowering the ingestion volume legacy UEBA forced you to pay for.

Govern AI end to end.

Behavior analytics is the foundation. The same graph powers insider risk, alert triage, and identity threat detection.

See your behavioral graph.

Thirty minutes. Your environment. No agents to deploy.

Request a demo