Trident : How to Break Deep Reinforcement Learning Cyber Defenses (Agentic)

T1Covered by 1 source · first reported by arXiv at 25 Sept, 04:00 UTC

arXiv:2608.04317v2 Announce Type: replace-cross Abstract: Autonomous cyber defense systems based on Deep Reinforcement Learning (DRL) have attracted significant research attention, yet remain evaluated almost exclusively against static, heuristic red agents, leaving their robustness against…

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• T1Trident : How to Break Deep Reinforcement Learning Cyber Defenses (Agentic)arXiv25 Sept, 04:00