Safeguarding Sensitive Data Used in Generative AI with RAG

Watch a 17-minute conference talk from AWS re:Inforce 2024 exploring security strategies for organizations using Retrieval Augmented Generation (RAG) with internal data in generative AI applications. Discover techniques for secure data transmission and storage while implementing RAG, learn to identify sensitive information within your data, and understand best practices for mitigating potential data leak risks. Gain valuable insights into protecting proprietary information as more organizations leverage their internal data to enhance generative AI outputs through RAG implementations.