AI security & governance

LLM Red Teaming

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.

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Built for teams that...

  • Teams shipping LLM-powered products or autonomous agents
  • Companies whose AI features can call tools, touch data, or take actions
  • Security and product leaders who want assurance before or after launch
  • Anyone whose customers are asking how the AI holds up under attack

What we do

  • Adversarial testing for prompt injection, both direct and indirect
  • Jailbreak and guardrail-bypass attempts against your system prompts and policies
  • Tool-abuse and excessive-agency testing where the model can call functions or act
  • Data-exfiltration and sensitive-information-disclosure testing
  • A findings report with severity, reproduction steps, and concrete fixes, co-delivered with Lorikeet Security

What you walk away with

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.

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Frequently asked questions

What is the difference between LLM red teaming and AI pen testing?

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.

Who actually performs the testing?

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.

Can you test agents that call tools or take actions?

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.

What do we get at the end?

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.

LLM Red Teaming, on your timeline

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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