AI Security Testing

Test your AI before attackers do.

If you're building or deploying AI-powered applications, you need to understand how they can be attacked. Large language models and generative AI systems introduce new categories of security risk that traditional testing doesn't cover.

We test your AI systems the way real attackers would - finding the weaknesses before they become incidents.

What we test

Prompt Injection - Can attackers manipulate your AI into ignoring its instructions or behaving unexpectedly?

Jailbreaking - Can your AI's safety guardrails be bypassed to produce harmful or policy-violating outputs?

Data Extraction - Can attackers trick your AI into revealing training data, system prompts, or sensitive information?

Why this matters

AI systems are increasingly making decisions, handling sensitive data, and interacting with customers. A compromised AI can leak confidential information, damage your reputation, or be weaponised against your users.

Unlike traditional software vulnerabilities, AI security issues are often subtle and context-dependent. They require specialised testing approaches that go beyond automated scanning.

Our approach

We combine manual testing with systematic methodology to explore how your AI behaves under adversarial conditions. You'll receive a clear report explaining what we found, why it matters, and how to address it - without unnecessary jargon.

Each engagement is tailored to your specific AI implementation, whether you're using off-the-shelf models, fine-tuned systems, or custom solutions.

How it fits together

AI Security Testing is a specialist service that complements our broader Security Assessment Suite. If you're deploying AI within a larger application, we can assess both the AI components and the surrounding infrastructure together.