No One Architecture Fits All: A Cross-Environment Evaluation of Hierarchical Red Team Agents
Autonomous red team agents increasingly stress-test AI-enabled cyber defenses by planning strategy and executing multistage attacks. Reinforcement learning (RL) and large language models (LLMs) offer complementary mechanisms for the planning and execution such agents require, and prior work has combined them in hybrid...
A. Shaikh, Arunesh Sinha, Nathaniel D. Bastian et al.
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