👤 User behavior analytics detects insider threats and compromised accounts by analyzing user activity patterns. Our AI-powered platform uses machine learning for baseline modeling and anomaly detection.

Implement comprehensive UBA/UEBA with behavioral baselines, peer group analysis, and risk scoring. Detect data exfiltration, privilege abuse, credential theft, and policy violations through continuous monitoring of user actions across applications, networks, and endpoints. Support both supervised and unsupervised machine learning to identify known threats and discover new attack patterns.

From baseline establishment to incident response, our platform automates insider threat detection workflows. Deploy with customizable risk scores, investigation tools, and automated response to protect against the most dangerous security threats.

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Behavioral Baselines

  • User Profiling
  • Peer Group Analysis
  • Normal Behavior Modeling
  • Time-Based Patterns
  • Access Patterns
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Anomaly Detection

  • Unusual Access
  • Off-Hours Activity
  • Geographic Anomalies
  • Data Volume Spikes
  • Privilege Escalation
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Risk Scoring

  • Dynamic Risk Scores
  • Threat Indicators
  • Severity Classification
  • Risk Trending
  • Automated Prioritization
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Insider Threats

  • Data Exfiltration
  • Privilege Abuse
  • Policy Violations
  • Sabotage Detection
  • Termination Monitoring
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Account Compromise

  • Credential Theft
  • Account Takeover
  • Lateral Movement
  • Brute Force Detection
  • Session Anomalies
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Investigation

  • Activity Timeline
  • Evidence Collection
  • User Context
  • Alert Correlation
  • Forensic Export