Real-time anomaly detection and intelligent threat monitoring
ML models learn normal usage patterns and flag anomalies like unusual access times or locations.
Detect unusual API call patterns, privilege escalation, unauthorized access attempts, and credential sharing.
Get real-time alerts via Slack, email, or PagerDuty when threats are detected—with context and severity.
Track every API call, permission change, and authentication event for all machine identities.
Integrate with threat feeds to identify compromised credentials and known malicious IP addresses.
Configure automatic actions like revoking credentials, suspending access, or rotating when threats are detected.
Continuous threat monitoring in 3 steps
ML models analyze normal usage patterns and establish behavioral baselines for each identity.
Continuously monitor all activity, compare against baselines, and detect deviations that indicate threats.
Get instant alerts with context, investigate with forensic tools, and take automated remediation actions.