Behavioral Analytics and User Entity Behavior Analytics (UEBA)
Apply behavioral analytics to detect insider threats and compromised accounts by monitoring deviations from established user patterns.
UEBA systems monitor and analyze the behavior of users and entities (machines, servers) to detect anomalies that may indicate compromise or malicious intent. Unlike signature-based detection that looks for known attack patterns, behavioral analytics learns normal behavior for each user or system, then flags significant deviations. This approach is particularly effective against insider threats and compromised accounts because it detects unusual activities regardless of whether malware or exploits are involved. UEBA considers factors like access times, data volumes, applications used, locations, peer groups, and transaction patterns. Machine learning models establish baseline behaviors and detect outliers in real time. UEBA complements…
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