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Deep dive

Secure RAG so attackers cannot steer your answers through retrieval.

Harden retrieval pipelines, validate sources, and protect vector stores so grounded responses remain accurate, safe, and trustworthy.

What we assess

  • Retrieval pipeline design
  • Grounding data quality
  • Injected or poisoned content
  • Vector store access
  • Content filtering
  • Answer exposure

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RAG is usually part of a broader LLM security program, but it deserves its own focused review because retrieval changes the trust model.

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