How Large Language Models Impact Data Security in RAG Applications

Data security is a major concern in enterprise AI workflows utilizing Large Language Models (LLMs). Providers have varying data retention policies, affecting privacy and compliance. Enterprises can enhance security by verifying provider policies, using private deployments, anonymizing data, and enforcing enterprise agreements. Compliance frameworks like GDPR, HIPAA, and SOC 2 Type II play a critical role in ensuring AI governance.

Data security has become a key concern as enterprises deploy RAG applications utilizing Large Language Models. In a recent survey, more than 80% of participating privacy teams said they deal with AI and data governance fields. Data protection is a vital issue when developing AI application tools.

Trust can only be built where data privacy and commercial-grade security standards are observed. Although some customers can now manage their record retention periods, the risk of employing private information in ...