LLM Security: Permissions and Prompt Injection in RAG

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Security in retrieval-augmented systems: authorizing before the model sees any passage, taking identity from the server, storing permissions with every chunk, treating retrieved text as untrusted data and testing for indirect prompt injection.

A little perspective. A lot of possibility.30 articles · Arabic & English

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Illustration: retrieved document passages meet a permission gate. Two pass into the model's context and support a cited answer; restricted passages stop at the lock.

AI engineering22 Jan 2026

Enterprise RAG: Grounded Answers That Respect Permissions

Enterprise RAG searches your own documents when a question arrives and gives the most relevant passages to a language model as context. Built well, it checks permissions before the model sees anything, cites what it used and declines when nothing it may use supports an answer.

LLM Security

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Enterprise RAG: Grounded Answers That Respect Permissions