Five specialized AI agents work in concert to provide defense-in-depth threat detection.
Coordinates all detection agents and manages threat response workflows
Hidden Markov Model for sequential behavior pattern recognition
Probabilistic risk assessment using Bayesian inference networks
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 factory resets, and device tampering attempts.
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 Accuracy
Autonomous Monitoring
AI Agent Ensemble
AI Assistant Available