No One Architecture Fits All: A Cross-Environment Evaluation of Hierarchical Red Team Agents

Reported by arXiv cs.CR (Ayan Javeed Shaikh, Arunesh Sinha, Nathaniel D. Bastian, Ankit Shah)

Summary by Cyber Security News2 Oct 2026, 06:00 CET

About this summary. This is a short excerpt from the description that arXiv cs.CR published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2610.00557

arXiv:2610.00557v1 Announce Type: new Abstract: 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 hierarchies.

Read the full article at arXiv cs.CR →

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