A new research paper introduces a security architecture for enterprise AI systems, specifically addressing challenges in multitenant environments where data isolation is critical. The proposed solution focuses on preventing cross-tenant data leakage in Retrieval-Augmented Generation (RAG) and agentic AI by separating relevance-based retrieval from authorization-based access control. An open-source implementation called OGX demonstrates the effectiveness of this approach, showing minimal overhead while maintaining strict security. AI
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IMPACT Enhances security for enterprise AI deployments by addressing critical data isolation challenges in multitenant environments.
RANK_REASON Academic paper detailing a novel security architecture for enterprise AI systems. [lever_c_demoted from research: ic=1 ai=1.0]