LLM Access Control Testing

Testing whether users can reach data or functions through your AI that they should never be allowed to.

What is LLM Access Control Testing?

LLM access control testing checks that your AI enforces proper authorisation: that a user cannot use the model to read data, trigger functions or reach areas beyond their permissions.

Why it matters

AI features often sit on top of powerful data and tools with weaker access checks than the rest of your app. That mismatch lets attackers use the model as a confused deputy to bypass controls.

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How Solusec tests it

We test authorisation across your AI's data access and tool calls, attempting to cross user and role boundaries through the model, and report where access control needs tightening.

AI testing, led by a human

Solusec is one of the first firms worldwide accredited under CREST's AI-Enabled Penetration Testing standard, so our use of AI is independently assured: responsible, transparent and always human-led. You get faster, broader testing, your data stays out of public AI tools, and every finding is validated by a qualified tester. Read about the accreditation.

What you get

You get a clear, prioritised report mapped to business risk, a walkthrough of every finding with practical fixes your developers can action, and a free retest once you have remediated. No scanner dump, no jargon, no sales team: you deal directly with the tester.

Common questions

What is a confused deputy?

When an AI with broad privileges is tricked into acting for a low-privileged user, effectively lending them its access. We test for this.

Does this cover RAG retrieval?

Yes, we check that retrieval respects per-user document permissions.

How quickly can testing start?

After a short, free scoping call we give a fixed price and a start date, often within days.

Is your AI use safe and independently assured?

Yes. Solusec holds CREST's AI-Enabled Penetration Testing accreditation, which independently assures that our AI use is responsible, secure and human-led.

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