Autonomous Red Team AI: LLM-Guided Adversarial Security Testing
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