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What is UEBA (User and Entity Behavior Analytics)?

Quick answer

UEBA is a security analytics capability that uses machine learning to establish behavioral baselines for users and devices, then detects anomalies that may signal insider threats, compromised accounts, or advanced persistent threats. Unlike rule-based detection, UEBA catches unusual behavior patterns that traditional SIEM rules may miss.

Updated April 2026Reviewed by Griffendo Security Team

What behaviors does UEBA detect?

  • Unusual login times or locations
  • Access to sensitive systems outside normal patterns
  • Large or unusual data transfers
  • Lateral movement across the network
  • Privilege escalation attempts
  • Dormant account reactivation
  • Simultaneous logins from geographically distant locations

Why UEBA matters for modern threat detection

Advanced attackers and malicious insiders often operate within the bounds of what signature-based tools allow. UEBA's behavioral model catches what rules cannot — making it an essential complement to SIEM in any mature security operations program.

Where Griffendo Fits

How Griffendo addresses this

Griffendo includes UEBA and AI correlation in all plans. The platform continuously models user and entity behavior across cloud, endpoint, identity, and network data — surfacing anomalies to the Griffendo SOC team for investigation and, where SOAR is enabled, triggering automated response.

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