ControlNET introduces a comprehensive firewall system that protects Retrieval-Augmented Generation (RAG) systems from critical security vulnerabilities.

• Dual Protection: Defends against both data breaching and data poisoning risks
• Enhanced Security: Enables safer deployment in sensitive domains including healthcare and finance
• Practical Solution: Addresses the security gap created when LLMs access external knowledge sources
• Robust Defense: Mitigates risks without compromising the performance benefits of RAG systems

This research is vital for organizations implementing LLMs in security-sensitive environments, providing a protective layer that maintains data integrity while allowing enhanced LLM capabilities through knowledge retrieval.

ControlNET: A Firewall for RAG-based LLM System