What is UEBA and how does it improve detection of insider threats?

• A. It uses signature-based detection for known threats.
• B. It focuses on hardware anomalies rather than user activity.
• C. It models normal user and entity behavior to detect anomalies.
• D. It relies on manual incident investigation only.

Answer: (C)

UEBA, or User and Entity Behavior Analytics, models normal patterns of behavior for users and other entities (like devices or applications). It gathers data from authentication logs, access records, network and endpoint telemetry, cloud activity, and more, builds baseline profiles, and uses analytics to flag deviations from those baselines.

This approach improves insider threat detection because insiders have legitimate access, so their actions may not trigger traditional signature-based alerts. UEBA looks for subtle or complex anomalies—such as odd login times or locations, unusual file access or volumes, atypical data transfers, or unexpected privilege use—and can correlate activity across multiple sources to reveal coordinated or compromised behavior. It also provides risk scores to help prioritize investigations, enabling faster response and reducing dwell time compared with relying on signatures or manual review alone.