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AI Security & Red Teaming

We attack your AI before someone else does, then harden it until it holds.

When a company runs AI, that AI can be tricked, manipulated and made to give away secrets. Red teaming is our core skill, not an add on. We test your AI systems with the same methods a real attacker would use, on your behalf, to find the gaps first and close them.

We probe for prompt injection, jailbreaks and data leaks, audit the tools your agents can call, and harden the guardrails until they hold. Everything we ship has already survived our own attack, and you get a report you can put in front of an auditor.

What it does

LLM red teaming

We try to make your AI do what it should not, on your behalf, then report exactly where and how it broke, with a fix.

Prompt injection audits

We check whether someone can slip hidden commands into your AI through concealed text in inputs or documents, and steer it off course.

Guardrail hardening

We rebuild the system prompts and safety rules so the AI can no longer be talked into forbidden answers or actions.

Data leak tests

We probe whether the system reveals confidential data, internal keys or customer information under clever questioning, before a real attacker can.

Agent security audits

For AI that takes actions, sending email, placing orders, we test whether it can be tricked into doing something it should not, like moving money.

Compliance reporting

You get findings, fixes and documentation aligned to the OWASP LLM Top 10 and the EU AI Act, security you can show an auditor and a board.

In practice

Before a client's support bot went live, we tried to talk it into revealing internal discount rules and customer records, planted a hidden instruction inside an uploaded document, and tested whether its tools could be abused. We found three gaps, hardened the guardrails, and retested until the attacks failed.

What you get

  • Every system attacked before it ships
  • Vulnerabilities found first, by us, not an attacker
  • Guardrails hardened until they hold
  • Security you can show an auditor and a board
  • Findings aligned to OWASP LLM Top 10 and the EU AI Act

Questions

Is red teaming an add on, or part of how you build?
It is our core skill. Everything we build is something we already tried to break. We also red team AI systems built by others, then harden them until they hold.
What exactly do you test for?
Prompt injection, jailbreaks, data exfiltration and abuse of the tools an agent can call, plus model audits for EU AI Act compliance. We test with the same methods a real adversary would use.
What do we get at the end?
A clear report of what we found, how we fixed or hardened it, and documentation aligned to the OWASP LLM Top 10 and the EU AI Act, ready for auditors and your board.
Get started

Find the gaps before an attacker does

Book a call and we will scope a red team audit of your AI systems.

30 minutes · no slides, no fluff · we usually reply within one business day.