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1 December 2025 Preprint Computational Cognition

Autonomous Red Team AI: LLM-Guided Adversarial Security Testing

Murad Farzulla, Andrew Maksakov

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Abstract

This technical report describes an architecture for autonomous penetration testing using LLM-guided agents operating within Kubernetes-isolated environments. The system combines RAG knowledge bases with OODA-loop decision cycles, enabling systematic vulnerability discovery while maintaining strict NetworkPolicy isolation.

Suggested citation

Murad Farzulla, Andrew Maksakov (2025). Autonomous Red Team AI: LLM-Guided Adversarial Security Testing. Dissensus Working Paper DAI-2513. DOI: 10.5281/zenodo.17614725

Methodology

RAG systems OODA loop Kubernetes isolation

Topics

AI Safety Security Research