BEHAVIORAL ANALYTICS · UEBA

It learns normal,
so abnormal stands out.

Per-entity baselines model how every user, host, and service account actually behaves — then score the deviations that signature rules never see. No tuning marathons. No alert avalanche.

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ENTITY RISK · jdoe@acme.ioLIVE

DEVIATION DRIVER

First access · finance share · 02:14 local

RISK SCORE

92

HOW IT WORKS

A continuous loop, per entity.

01

Baseline

30 days of activity build a behavioral fingerprint for each identity and asset.

02

Observe

Every event is compared to the entity's own history and its peer group.

03

Score

Deviations accrue a risk score that decays over time and spikes on chains.

04

Surface

Only entities past threshold reach an analyst — with the full story attached.

WHAT IT CATCHES

The threats that look like business as usual.

Insider risk

Mass downloads, off-hours access, and exfil staging before resignation.

Compromised accounts

Valid credentials behaving nothing like the human they belong to.

Lateral movement

A service account suddenly reaching hosts it has never touched.

Living-off-the-land

Native tooling used in volumes and sequences that break the baseline.

It learns normal,so abnormal stands out.

A continuous loop, per entity.

The threats that look like business as usual.

It learns normal,so abnormal stands out.

A continuous loop, per entity.

The threats that look like business as usual.

It learns normal,
so abnormal stands out.

It learns normal,
so abnormal stands out.