Securing Enterprise RAG Deployments

Description

Retrieval-Augmented Generation (RAG) has emerged as a breakthrough architecture for bridging private data and large language models (LLMs). However, as adoption grows, so does the risk: without proper safeguards, the proprietary data that fuels RAG can be exposed to threats.