RAG Security

The rise of Retrieval-Augmented Generation (RAG) models in natural language processing has brought about significant changes in various industries. This article focuses on the secure deployment of RAG Language Learning Models (LLMs), including role-based access control, secure hosting environments, and continuous monitoring. Case studies from PepsiCo and JetBlue illustrate their approaches to securing generative AI in both internal and external contexts.