Agentic AI for 6G: A New Paradigm for Autonomous RAN Security Compliance

An LLM agent framework combined with a RAG pipeline can autonomously perform 6G radio access network (RAN) security compliance. In a preliminary case study, the agent assesses whether configuration files comply with O-RAN Alliance and 3GPP standards, generates interpretable compliance justifications, and proposes automated remediation when needed. The authors note challenges such as model hallucination and vendor inconsistency, emphasize agent safety, transparency, and system trust, and call for developing telecom-specific LLMs and standardized evaluation frameworks.