Securing the Knowledge Layer: Enterprise Security Architecture Frameworks for Proprietary Data Integration With Large Language Models 

**Executive Summary:** This research article examines security risks and mitigation strategies for enterprise retrieval-augmented generation (RAG) systems, covering threat modeling, embedding and vector-database risks, prompt-injection and jailbreak attacks, access-control architectures (RBAC/ABAC/zero-trust), compliance and audit requirements, operational best practices, continuous monitoring, and strategic recommendations for securely deploying proprietary-data–integrated LLMs.