Example · Pre-launch
Red-team before release
A focused test of a new chatbot or copilot before customers see it, with findings ranked by severity.
AI red-teaming & safety
We break your AI before someone else does.
Chatbots, copilots and agents can be talked into leaking data, ignoring their rules or misusing their tools. We attack your system the way real users and attackers would, show you exactly what broke, and help you fix it.
What we build
What we test.
Every finding comes with steps to reproduce it, a severity rating and a fix. Then we retest to prove it's closed.
- Jailbreaks and policy bypasses
- Prompt injection, including attacks hidden in documents, emails and web pages
- Leaks of system prompts, training data or personal data
- Agent and tool misuse: unsafe actions, privilege escalation, runaway costs
- Harmful, biased or off-brand outputs
- Regression tests that keep fixed issues fixed
Example projects
Where it pays off.
These are examples of first projects, not client case studies. We prove it on your own data first.
Example · Agents
Agent permission review
We check what an agent can really do with its tools, and whether a hostile document or email can make it do more.
Example · Ongoing
Safety gate in CI
We turn the findings into automated tests that run before every release and block regressions.
How it runs
Scoped, attacked, fixed, guarded.
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01Day 0 · 30 min
Scope
We agree on what's in scope, how deep to go and who sees the findings, all under NDA.
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02≈ 2 weeks
Attack
Hands-on testing of your system. Critical findings are shared the moment we find them.
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03Then
Fix
A severity-ranked report with fixes. We help your team patch, then retest to confirm.
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04Ongoing
Guard
The attacks become automated tests that run before every release.
Built to be trusted
Rules of engagement.
Authorised testing only
We test only systems you own or are authorised to test, under a written scope.
Under NDA
Findings stay between us, and reports go only to the people you name.
Fix, then prove it
Every finding comes with a fix plan, and we retest to confirm it's closed.
FAQ
Straight answers.
Anything else? Ask us on the audit call, or just email.
What do we get at the end?
A report listing each finding, how to reproduce it, its severity and how to fix it, plus a test suite you can keep running.
Do you need our model weights?
No. Most testing works through the same interface your users have. With more access, such as system prompts, tool definitions and logs, we can go deeper.
Can you test apps built on third-party models?
Yes. We test your application and its guardrails, and we stay within the model provider's terms of use.
Does this help with customer security reviews?
Often it does. Many security questionnaires and AI rules ask for evidence of adversarial testing, and our report documents what we tested and what was fixed.
Find the holes before your users do.
A free 30-minute call. You leave with a ranked plan, whether or not you work with us.