Real-time threat detection system using machine learning to identify and neutralize malware patterns before they execute.
Our AI-driven system analyzes network traffic, file behavior, and process activity to detect potential threats with 99.8% accuracy.
Continuously monitors network activity, file behavior, and process execution with anomaly detection powered by deep learning.
Quarantines suspicious activity and automatically generates containment strategies within sub-seconds of threat identification.
Uses behavioral biometrics to distinguish between normal system activity and potential malicious operations.
Contributes to and receives updates from a decentralized network of threat detection nodes worldwide.
All local system analysis remains on-device unless users explicitly opt-into threat intelligence sharing.
Generates human-readable threat reports with actionable recommendations for system hardening.
This interactive demo shows the AI detecting a simulated malware attack and automatically isolating the threat.
Core machine learning models using PyTorch and TensorFlow
Local threat detection service with API endpoints
Threat intelligence database with real-time updates
Dashboard UI with real-time threat visualization
Join thousands of users keeping their systems protected from zero-day threats.
Enterprise features available with paid subscription