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.
@misc{farzulla2025autonomousredteam,
author = {Farzulla, Murad},
title = {Autonomous Red Team AI: LLM-Guided Adversarial Security Testing},
year = {2025},
howpublished = {Farzulla Research Working Paper DAI-2513},
doi = {10.5281/zenodo.17614726},
url = {https://farzulla.org/papers/autonomous-red-team}
}