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