This topic focuses on enhancing ARACNE, an agent-based cybersecurity framework integrating Large Language Models (LLMs) to simulate intelligent attackers and improve interaction with users. It aims to deliver clearer summaries of attack patterns, provide benchmarks for adversarial agents, and challenges to evaluate attacker adaptability and model robustness in cybersecurity environments.