RAG Data Protection Risks and Challenges

Retrieval-Augmented Generation (RAG) is rapidly becoming the foundation for enterprise AI by connecting large language models to internal business data. While this dramatically improves the relevance and value of AI-generated responses, it also introduces new security, governance, and compliance challenges that many organizations are not prepared to address. 

This brochure explores the growing risks surrounding AI data access, vector databases, sensitive information exposure, encryption key ownership, and regulatory compliance. It provides security leaders, architects, and data protection teams with practical insight into why traditional security controls are often insufficient for RAG environments and what organizations should evaluate as they expand AI initiatives. 

What you will learn:

• Why RAG introduces new attack surfaces for enterprise AI 
• How vector databases and AI retrieval increase data exposure risks 
• The operational and compliance challenges of securing AI data 
• Why encryption, discovery, and governance remain essential for AI security 
• Key statistics illustrating how quickly enterprise AI risk is growing