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User and Entity Behavior Analytics (UEBA)

Identity & Access

Definition

The process of tracking user and system behavior to detect anomalies that indicate a security risk.

Technical Details

User and Entity Behavior Analytics (UEBA) leverages machine learning, advanced analytics, and data science to monitor user and entity behaviors across networks and systems. By establishing a baseline of normal activities, UEBA solutions can identify deviations that might indicate malicious actions, insider threats, or compromised accounts. The technology typically analyzes various data points including login times, access patterns, and resource usage to generate insights and alerts for security teams. UEBA integrates with Security Information and Event Management (SIEM) systems to enhance threat detection capabilities.

Practical Usage

In real-world applications, UEBA is used by organizations to strengthen their security posture by identifying unusual behavior that may not be detected by traditional security measures. For instance, a sudden spike in data downloads by a user who typically accesses only a few files could trigger an alert. Additionally, UEBA can help in compliance audits by tracking user access to sensitive data and ensuring that only authorized users have access. Organizations implement UEBA by deploying specialized software solutions that continuously analyze user and entity activities, often integrating with existing security infrastructure.

Examples

Related Terms

Security Information and Event Management (SIEM) Intrusion Detection System (IDS) Threat Intelligence Anomaly Detection User Access Management (UAM)
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