UEBA

Detect Anomalies Before They Become Incidents

User and Entity Behaviour Analytics that learns what normal looks like in your cloud — and flags deviations the moment they appear.

Signature-based detection misses novel attacks. Arkhein's UEBA engine builds a behavioural baseline for every user, service account, and entity in your cloud — then flags deviations that indicate compromise, misuse, or misconfiguration.

The baseline is graph-aware. It understands not just what an entity did, but what it accessed, what permissions it used, and what resources it touched. A service account that suddenly enumerates S3 buckets it has never touched before is flagged — even if each individual API call is technically permitted.

UEBA integrates with the SIEM/CDR pipeline, enriching every detection with behavioural context. This means alerts come with a confidence score, a behavioural timeline, and a clear explanation of why the activity is anomalous.

What UEBA gives you

  1. Behavioural baselinesLearn normal patterns for every user, service account, and entity across all clouds.
  2. Graph-aware anomaly detectionDetect deviations based on what was accessed, not just what was called.
  3. Compromised credential detectionFlag credential misuse, impossible travel, and unusual API patterns.
  4. Confidence scoringEvery anomaly comes with a confidence score and behavioural timeline.
  5. SIEM integrationFeed behavioural context into the CDR pipeline for enriched detection.
  6. Custom baselinesDefine entity-specific baselines for critical service accounts and admin users.

Who it's for

  • SOC analysts
  • Threat detection engineers
  • Identity & access management teams
  • Incident responders

UEBA

  • Entity behavioural baselines
  • Graph-aware anomaly detection
  • Compromised credential detection
  • SIEM/CDR integration
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