UEBA - User and Entity Behavior Analytics 

User and Entity Behavior Analytics (UEBA)

UEBA leverages advanced analytics, machine learning, and other technologies to detect anomalies, patterns, and deviations from normal behavior, indicating security threats or potential risks.

User and Entity Behavior Analytics (UEBA) Features

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Anomaly Detection 
Utilizes machine learning and behavioral analysis to establish normal behavior, flagging deviations as potential threats. 
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Insider Threat Detection 
Monitors user behavior to identify insider threats, detecting unusual or suspicious activities. 
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Risk Scoring 
Assigns risk scores to users and entities based on behavior, indicating potential security incidents. 

User and Entity Behavior Analytics (UEBA) Benefits

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Early Detection of Insider Threats 
Identifies unusual behavior patterns, preventing data breaches and mitigating damage. 
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Anomaly Detection 
Flags anomalies or deviations from normal behavior, detecting both insider and external threats. 
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Reduced False Positives 
Reduces false positive alerts, allowing focus on genuine threats and improving incident response efficiency.