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Uncover hidden vulnerabilities in your AI systems before attackers do. Our AI penetration testing identifies risks in models, APIs, and data pipelines and helping you deploy AI with confidence.
We provide advanced penetration testing for AI systems using machine learning and large language models and identify real-world risks and help secure your AI applications against evolving cyber threats.
Define AI models, environments, and attack surface.
Simulate real-world attacks on LLMs and ML systems.
Identify vulnerabilities and security gaps.
Deliver actionable insights and fix recommendations.
Our manual, expert-led approach goes beyond automated tools providing deep testing of AI behaviour, logic, and integrations to ensure real security assurance.
Certified ethical hackers with 10+ years of experience
CREST approved and industry certified professionals
Assessments shaped to your specific risks, systems, and security priorities
Clear, prioritised findings with step-by-step remediation
Successfully tested 500+ organizations across all sectors
Testing aligned with your business objectives and risk tolerance
Speak with our experts to identify risks in your AI applications.
The Swift Customer Security Controls Framework (CSCF) v2026 introduces some of the most impactful changes Swift users have seen in recent years. Unlike CSCF v2025, which focused on clarification and preparation,
If you are a CEO, board member or business leader, cybersecurity hardly presents itself as a standalone issue. It shows up in revenue discussions, hiring decisions, supply-chain
A technical deep dive into real-world vulnerabilities exposed by AI. The biggest risk to your AI deployment is not superintelligence; it is a logic error.
