MIRAGE-Predict: Predictive Cyber Defense System with Continual Learning

MIRAGE-Predict is an intelligent cyber defense platform designed to identify and stop potential threats before they cause damage. Instead of relying solely on reactive packet filtering, it predicts how network activity may evolve using an LSTM-based model that analyzes network behavior and forecasts future states over multiple steps. It also maps predicted attack patterns to the MITRE ATTACK framework to help identify likely attack techniques and stages. Operating as an inline reverse proxy, MIRAGE uses a LinUCB-based contextual bandit to adapt its deception strategies and deploy realistic decoy APIs and backend services that can mislead attackers. By integrating OpenAI Codex, the platform can assist in generating defensive code, creating mitigation scripts, and developing security rules for technologies such as eBPF/XDP, YARA, Snort, and virtual WAFs. It can also analyze obfuscated payloads by examining their abstract syntax trees (ASTs) to better understand their behavior. By combining predictive modeling, cross-session behavioral analysis, adaptive deception, and AI-assisted defense generation, MIRAGE-Predict aims to detect emerging threats earlier, disrupt attacker activity, and reduce the risk of compromise to critical infrastructure.