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Armita Kazeminajafabadi

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Preprint Aug 2026

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

Empirical evaluations reveal a fundamental brittleness in existing defenses: with a single trainable 7B planner, Trident reduces blue agent defensive performance by an average of 522% compared to static red agent baselines while autonomously discovering emergent behaviors such as decoy avoidance and adaptive state prioritization that static heuristics entirely fail to uncover.

Ryozo Masukawa, Ian Bryant, Armita Kazeminajafabadi et al. · 0 citations