
Secure your AI implementations from unintended misuse and data leakage
Our AI penetration testing service is designed to uncover vulnerabilities unique to AI-driven systems. Our consultants use advanced techniques to evaluate AI-specific attack vectors, including LLM prompt injection, model poisoning, and risks to data integrity and confidentiality.
- Uncovers critical flaws before attackers do
- Evaluates model behaviour, input sanitisation and prompt safety
- Delivers clear reports with actionable fixes
Assess how your AI systems respond to real-world threats
Go beyond traditional testing
Designed for modern AI threats
AI applications require specialised testing approaches. We use custom-built tests to evaluate how your system handles harmful or manipulative inputs, where it stores and exposes data, and how well it aligns to your intended safety outcomes.
- Test for prompt injection and unauthorised access to training data
- Assess model outputs for harmful content or unintended behaviour
- Validate input sanitisation and output filtering controls
How is it delivered
Experts in AI and emerging security challenges
Frequently asked questions
What is AI penetration testing and why is it important?
AI penetration testing evaluates the security of artificial intelligence systems, including large language models (LLMs), to identify risks such as data leakage, prompt injection and logic flaws. It's crucial to ensure that AI implementations don’t create unintended attack surfaces.
What kind of vulnerabilities do you look for in LLMs or AI models?
We look for issues like insecure prompt handling, training data exposure, access control weaknesses, model manipulation, and risks to data integrity and confidentiality—particularly those unique to AI and LLM contexts.
How is AI penetration testing different from traditional penetration testing?
Traditional penetration testing focuses on networks, applications or infrastructure. AI penetration testing includes that scope but adds assessments for model-specific threats such as prompt injection, adversarial inputs, misuse of APIs, and AI-specific logic flaws.
Will AI penetration testing disrupt our operations?
No. Our testing is carefully scoped and designed to avoid impacting production environments. We simulate realistic threat scenarios while ensuring business continuity and system stability.
What should we do after an AI penetration test is complete?
You’ll receive a detailed report with prioritised findings and clear remediation guidance. We can support you with validation testing, AI risk governance, and help develop responsible AI usage strategies.
Talk to an expert
Shortland Street,
Auckland 1010 New Zealand
Brandon Street
Wellington 6011 New Zealand
120 Spencer Street
Melbourne 3000 Australia