AI-powered products have a distinct attack surface, and the OWASP LLM Top 10 catalogs it: prompt injection, insecure output handling, excessive agency, sensitive-information disclosure, and more. We run a structured penetration test of your AI product against that framework and report what an attacker could actually do.
You get a structured, OWASP LLM Top 10-mapped view of how your AI product holds up against attack, with each finding rated and reproducible: assurance you can show customers and a clear remediation list for your team.
It is a widely used list of the most critical security risks for LLM applications, including prompt injection (LLM01), insecure output handling, and excessive agency. We use it as the backbone so coverage is structured and explainable.
AI penetration testing is structured and framework-mapped against the OWASP LLM Top 10. Red teaming is more open-ended adversarial exploration. They complement each other, and some clients do both.
Both. We test the model and its guardrails, plus the surrounding application and integration surface, because real-world AI risks often live in how the model is wired into everything else.
A report with each finding’s severity, reproduction steps, and remediation guidance, so your team can fix issues rather than just read a score.
Book a free 30-minute call. We’ll tell you whether it fits, what it costs, and when we can start.
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