A real-time monitoring and analytics engine for authentication systems. Detect anomalies, track login trends, and prevent suspicious activity with intelligent identity-risk scoring and live alerting.
The Auth Radar Module is your real-time security command center for authentication systems. This powerful monitoring and analytics engine continuously watches over your authentication infrastructure, detecting threats before they become incidents.
Our real-time login anomaly detection system uses machine learning to identify unusual login patterns, such as logins from new locations, unusual times, or rapid-fire attempts. Suspicious device and IP pattern recognition automatically flags devices and IP addresses that exhibit malicious behavior, helping you block threats proactively.
Risk-based authentication scoring evaluates every login attempt and assigns a risk score based on multiple factors including device fingerprinting, location history, and behavioral patterns. High-risk authentications can trigger additional verification steps or be blocked automatically.
Live breach alerting provides instant notifications when security incidents are detected, allowing your team to respond immediately. Incident flags help you track and investigate security events, maintaining a complete audit trail of all security-related activities.
User session intelligence tracks and analyzes user behavior patterns, helping you understand normal usage patterns and identify deviations that might indicate compromised accounts or insider threats. This behavioral tracking provides deep insights into how users interact with your authentication system.