How do you know your AI is safe?
When your board, a client, an insurer or a regulator asks, you need an answer. We test your chatbots, assistants and agents for security, reliability, fairness and governance, and give you the evidence.
- Your AI Risk Scorecard in two to four weeks, at a fixed price
- The first external company on the Scottish Government's AI Register
- Led by people who have built and run AI in production
Example clients
- Scottish Government
- NHS 24
- Alliance Health
- Thoughtworks
- Crimson
What we do
Find the risks in AI before attackers or regulators do.
We don't build or sell AI products, so nothing softens what we find. Whether it's a customer chatbot, an internal assistant or an agent working in your systems, you get findings your board, CISO and engineers can act on.
AI doesn't make more mistakes than people. It makes them faster, louder and harder to unwind.
Most organisations have AI in use before anyone has tested how it fails: a chatbot that can be talked into revealing data, an assistant that gives staff confident wrong answers, or an agent with access to systems nobody is watching. Testing once at launch isn't enough, because AI changes every time the underlying model is updated.
This is already happening.
- Directors
- 82%
- of directors say the information they get on AI risk is fair, poor or unavailable. PwC, Annual Corporate Directors Survey 2026
- Breached organisations
- 68%
- of breached organisations had no AI governance in place. IBM, Cost of a Data Breach 2026
- AI SecuritySeptember 2026
Spain's data protection authority reports the first breach notified to it that was allegedly carried out by an AI agent. The agent logged in, found weaknesses in the application, changed personal data and accessed invoices.
Source: AI Incident Database(opens in a new tab) - AI GovernanceJune 2026
An OpenAI agent under testing reaches a non-public Australian Medicare statistics portal. The agency only finds out in September.
Source: BISI(opens in a new tab) - AI Reliability2024
A tribunal holds Air Canada liable after its chatbot gives a customer wrong information about bereavement fares.
Source: Moffatt v. Air Canada, 2024 BCCRT 149(opens in a new tab) - AI Fairness and Inclusion2013 to 2021
The Dutch tax authorities' risk algorithm uses nationality as a risk factor. Tens of thousands of families are falsely accused of childcare benefit fraud, with ethnic minorities hit hardest. The government resigns over the scandal in January 2021.
Source: Amnesty International(opens in a new tab)
These failures were all found after the damage was done. Independent testing finds them first.
Three moments when independent testing matters.
Before you go live
Find out whether your AI is ready before customers, staff or regulators rely on it.
Before you scale
Identify the risks to fix before wider rollout multiplies them.
After a material change
Test again when models, data, permissions or agent capabilities change. A test at launch doesn't stay valid for ever.
Why FireBreak
What you'd get elsewhere, and what we do differently.
A large consultancy
What you typically getBroad advisory across strategy, policy and implementation, usually over months, and often from a firm that also sells AI delivery.
What FireBreak doesKeep them for strategy and delivery. Use us to check the result. If the same firm helped design or implement your AI, it shouldn't also be the one that independently checks it.
A penetration tester
What you typically getTests your networks and applications. Most don't test how the AI itself behaves: whether it can be manipulated, gives wrong answers or treats groups differently.
What FireBreak doesWe test the AI's behaviour across security, reliability, fairness and governance, with a CREST-accredited partner for the infrastructure.
The AI vendor's own testing
What you typically getTests the model in general, not your configuration, your data or your users. And it's the vendor marking its own work.
What FireBreak doesWe test your deployment the way your customers and staff actually use it, with nothing to gain from the result.
Waiting until something goes wrong
What you typically getMost AI failures are found by customers, journalists or regulators, as in the cases above.
What FireBreak doesWe find them first, and give you evidence that you looked.
Why FireBreak
Led by people who have answered to boards for technology risk.
“FireBreak told us plainly where our AI plans carried risk and what had to be in place before we scaled. That independent view gave our leadership team the confidence to move forward.”
See how we test, and what you get.
- What we testSecurity, reliability and fairness, with governance around them, in five steps.What we test and how
- Where to startThe AI Risk Scorecard: fixed price, two to four weeks, with a sample report.See the scorecard
- CertificationThe standards and frameworks every finding is mapped to.See our certification
Questions buyers ask
Find out where your AI stands in two to four weeks.
Someone is already asking about your AI, or you're ready to scope a test.
You want a quick view of where you stand first.
Take the free readiness check