Why tenant isolation should be designed before AI integration.
Designing multi-tenant AI systems safely. Case study on enforcing database row-level security and tenant isolation before RAG context injection.
Integrating Large Language Models (LLMs) or retrieval-augmented generation (RAG) systems into a multi-tenant application introduces severe security and data privacy risks if tenant boundaries are porous...
During our work on SattvaOS, a foundational rule was established: data governance and multi-tenant isolation must be hardcoded at the database and execution layer before any AI context injection is built.
Without strict schema-level or row-level security boundaries, AI prompt contexts can inadvertently leak cross-tenant information, violating institutional trust and data compliance mandates.
Published by DigiXPro Digital Solution
Technology Architecture Advisory · Dr. Ajay Shukla
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