Adaptive AI-Powered Cybersecurity Training Simulator.
Generate dynamic virtual infrastructures, simulate safe attack chains, and deploy intelligent AI defenders in real time.
Production-grade defensive simulation architecture
Randomized or scenario-based network generation with evolving difficulty. From 5-node Easy labs to 16-node Insane arenas.
scikit-learn RandomForest threat detection with real-time countermeasures. Predicts compromise probability per node.
Interactive Plotly-powered topology visualization. Color-coded status: Green Secure, Yellow Alerted, Red Compromised.
Educational reconnaissance to exfiltration pipeline. Fully sandboxed with no real exploitation.
Neon-themed metrics, risk heatmaps, animated terminal streams, and real-time defense monitoring.
JSON session dumps, CSV node inventories, and matplotlib status charts for audit trails.
Clone the repository, run the installer, and start training your defensive skills today.
View on GitHub