UEBA
User and Entity Behavior Analytics (UEBA) uses machine learning to establish baseline behavior patterns and detect anomalies that may indicate compromised accounts or insider threats.
⚙️ How Does It Work?
The system collects telemetry (login times, access patterns, data movement) and builds behavioral baselines per user. Deviations trigger risk scores and alerts.
📍 Where Is It Used?
Enterprise SOCs, PAM platforms, IAM systems — anywhere insider threat detection is needed.
💡 Real-World Example
A finance employee who normally downloads 5 reports per day suddenly downloads 500 files at 2 AM. UEBA flags this as high-risk and automatically suspends the account.
🔗 Related Terms
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