Assessing the security of your AI model and its integration, from configuration and guardrails to extraction and poisoning exposure.
What is AI Model Security Assessment?
An AI model security assessment reviews the model layer itself and how it is integrated: its configuration, guardrails, exposure to extraction and inversion, and susceptibility to poisoning, alongside how the application uses it.
Why it matters
The model is the heart of your AI, and its weaknesses, weak guardrails, extractable behaviour, poisoning exposure, propagate into every feature built on it.
How Solusec tests it
We assess your model and its integration against established AI security guidance, identify and prioritise the risks, and recommend practical hardening, with hands-on testing where it is warranted.
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 test self-hosted and third-party models?
Yes, we assess how the model is configured and used in your context, whichever it is.
What is model extraction?
An attack that reconstructs a model's behaviour or data through its outputs. We assess your exposure to 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.
Related AI security testing
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