Why tenant isolation should be designed before AI integration.

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.