We test the systems that let your AI search your own documents.
Book a free consultation →RAG — retrieval-augmented generation — is how most serious business AI works: the model searches your documents or records to answer. Powerful, and a rich attack surface.
We test cross-user and cross-tenant leakage, poisoned content planted in the knowledge base, and retrieval that can be manipulated into surfacing what it shouldn't.
Almost every capable assistant, support bot or internal copilot uses RAG. The most common serious setup, and the most commonly untested.
A support assistant retrieved from one shared index with no per-user scoping. A request framed as an internal check returned another customer's order, email and address.
A shared, unscoped index lets one user retrieve another's private data.
Malicious content planted in an ingested document steers every answer that follows.
Documents meant for one team or tier surfacing to anyone who asks the right way.
RAG leaks look like normal answers — you won't see it without testing.
Book a free, no-obligation consultation and we’ll take a first look at your rag security risk together.
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