LLM Red Teaming

← AI penetration testing overview

Objective-based adversarial testing of large language model applications and their guardrails.

What is LLM Red Teaming?

LLM red teaming stress-tests your language-model application against a determined attacker: can its guardrails be bypassed, its data extracted, its tools abused, and its behaviour hijacked to achieve a goal?

Why it matters

Guardrails that look solid in a demo often fall to creative, persistent adversaries. Red teaming reveals whether your safety and security controls hold up under real pressure.

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How Solusec tests it

We run structured, goal-oriented attacks against your LLM app, jailbreaks, injection chains, data-extraction and tool-abuse, and report which objectives were achievable and how to close them off.

AI testing, led by a human

Solusec is one of the first organisations 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.

Talk to us about testing

Tell us what you need looked at and we will tell you what the work actually involves, what it costs and when we can do it. CREST accredited, and the testing is done by the person you speak to.

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