SecureRAG-RTL: A Retrieval-Augmented, Multi-Agent, Zero-Shot LLM-Driven Framework for Hardware Vulnerability Detection

Researchers developed SecureRAG-RTL, a new AI framework that uses Retrieval-Augmented Generation to detect security vulnerabilities in hardware designs. The system improves detection accuracy by 30% on average across different LLM architectures and addresses the challenge of limited hardware security datasets for AI training.