AI API Security Testing

Security testing for the APIs that power your AI features, authentication, authorisation, abuse and cost controls.

What is AI API Security Testing?

AI API security testing assesses the APIs behind your AI systems: how they authenticate and authorise callers, validate input, handle model prompts and responses, and defend against abuse and runaway cost.

Why it matters

The API is often the softest part of an AI stack. Weak auth, missing rate limits or unguarded model access can expose data, allow abuse, or run up enormous inference bills.

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How Solusec tests it

We test your AI APIs with proven API security methodology plus AI-specific checks, covering auth, access control, input handling, rate limiting and cost-abuse, and report every exploitable gap.

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

Is this standard API testing?

It includes it, plus AI-specific concerns like prompt/response handling and inference cost-abuse.

Do you test for cost-based denial of service?

Yes, uncontrolled AI APIs can be abused to generate huge inference costs. We test for it.

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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