Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning

Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning explores An AI-powered cyber defense system that uses causal modeling and adversarial reinforcement learning to significantly reduce false positives and provide explainable decision-making.. Commercial viability score: 7/10 in Cybersecurity AI.