Five specialized AI agents work in concert to provide defense-in-depth threat detection.
Coordinates all detection agents and manages threat response workflows
Sequential behavior pattern detection across device telemetry
Probabilistic risk assessment across device fleet telemetry
Adversarial modeling to predict and counter attacker strategies
Deploys honeypot signals to detect and trace threat actors
Enterprise-grade threat intelligence powered by real-time machine learning.
Machine learning models analyze device behavior patterns in real-time to detect anomalies before they become threats.
Multi-layered detection engine identifies SIM swap fraud, unauthorized reset attempts, and device tampering.
Every device gets a dynamic risk score updated continuously. Automated actions trigger when thresholds are breached.
Monitors network patterns, geolocation anomalies, and connection behaviors to identify compromised devices.
Pre-configured playbooks automatically lock, restrict, or escalate devices based on threat intelligence.
Comprehensive threat landscape visualization with drill-down reporting for security teams and compliance audits.
Threat Detection
Detection Status
Autonomous Monitoring
AI Agent Ensemble