Capabilities
Anomaly Detection
Behavioral analysis identifying unusual access patterns, data exfiltration, and policy violations.
The anomaly detection engine analyzes user behavior patterns across authentication events, data access logs, and API usage to identify deviations from established baselines. It tracks login timing, geographic location, access frequency, data export volumes, and privilege escalation patterns. When activity deviates significantly from a user's historical profile or organizational norms, the system generates security events with severity classifications. Honey tokens placed in sensitive data fields provide high-confidence intrusion detection when accessed.
Key Capabilities
Behavioral Baselining
Builds per-user activity profiles from login patterns, access timing, and data interaction history to establish what constitutes normal behavior for each identity.
Honey Token Detection
Deploys decoy data fields across the platform that trigger immediate alerts when accessed, providing high-confidence indicators of unauthorized data access or exfiltration.
Severity-Classified Events
Generates structured security events with severity levels, affected entities, and recommended response actions routed to the audit center and notification system.