If you ship an LLM or agent application, attackers are going to probe it with prompt injection, jailbreaks, and tool-abuse tricks. We red-team it first. Co-delivered with our partner Lorikeet Security, this is hands-on adversarial testing of how your model, prompts, and tools behave under attack.
You learn how your LLM or agent actually behaves under adversarial pressure (where it leaks, gets jailbroken, or misuses its tools), with a prioritized, reproducible list of fixes before an attacker finds the same holes.
Red teaming is open-ended adversarial testing focused on how the model and its guardrails behave: injection, jailbreaks, tool abuse. AI penetration testing is more structured, typically mapped against the OWASP LLM Top 10. Many clients do both.
It is co-delivered with our partner Lorikeet Security, who specialize in offensive and adversarial testing including LLM red teaming. You get that offensive depth plus our governance and remediation context.
Yes. Tool abuse and excessive agency are core to the test. Where a model can invoke functions or act on data, that is exactly where we push hardest.
A findings report with each issue’s severity, reproduction steps, and a concrete fix, so your team can remediate rather than just receive 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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