LLM Data Leakage Testing

← AI penetration testing overview

Testing large language model applications for sensitive information disclosure.

What is LLM Data Leakage Testing?

LLM data leakage testing focuses on whether your language-model application discloses sensitive information: cross-user data, confidential documents, secrets or the system prompt itself.

Why it matters

LLMs are eager to be helpful, which makes them prone to over-sharing. Combined with broad data access in RAG and agent setups, that helpfulness becomes a serious disclosure risk.

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How Solusec tests it

We test the model's boundaries with extraction and injection techniques and verify what it actually leaks in your setup, then recommend retrieval, access and output controls to contain it.

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