LLM Red Teaming

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.

Book a free scoping call →

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 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

Do you use automated jailbreak tools?

We use AI to assist and scale, but a skilled human directs the campaign and validates every result. That is exactly what our CREST AI-Enabled accreditation assures.

What do we learn?

Which realistic attacker goals your LLM app is vulnerable to, and the specific fixes to prevent them.

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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