ControlNET introduces a specialized firewall system that protects Retrieval-Augmented Generation (RAG) based LLM deployments from security vulnerabilities, addressing critical concerns for enterprise applications.

• Identifies and mitigates data breaching risk where sensitive information could be leaked through RAG systems
• Prevents data poisoning attacks that could compromise the integrity of AI responses
• Implements a comprehensive security framework specifically designed for the unique vulnerabilities in RAG architectures
• Enables safer deployment of LLMs in sensitive domains like healthcare and finance

This research addresses the growing need for security measures as organizations increasingly deploy RAG-enhanced LLMs for handling sensitive enterprise data while maintaining system integrity and user privacy.

ControlNET: A Firewall for RAG-based LLM System