LLM Penetration Testing

← AI penetration testing overview

Adversarial penetration testing of large language model applications, from prompt injection to data leakage and unsafe tool use.

What is LLM Penetration Testing?

LLM penetration testing targets applications built on large language models. It probes how the model can be manipulated, what it can be made to reveal, and what actions it can be tricked into taking through the app around it.

Why it matters

LLMs are uniquely manipulable: an attacker's input is also the model's instructions. That blurring lets attackers hijack behaviour, extract hidden system prompts and data, and abuse any tools the model can call.

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How Solusec tests it

We test your LLM application against the OWASP LLM Top 10 with hands-on adversarial techniques, then validate every finding and rate it by real business impact, not scanner severity.

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