Enhancing Cloud Network Resilience via a Robust LLM-Empowered Multi-Agent Reinforcement Learning Framework

In three linesCyberOps-Bots combines an LLM agent with multi-level RL agents to defend cloud networks against attacks. The hierarchical framework uses ReAct planning and long-short term memory. On real cloud datasets, it maintains 68.5% higher availability and achieves 34.7% performance gain without retraining when shifting scenarios.

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