When your board, a client, an insurer or a regulator asks, you'll have the evidence. We test your chatbots, assistants and agents for security, reliability, fairness and governance. We also test how well you hold up against attackers using AI.
Sectors we work in
Most organisations have AI in use before anyone has tested how it fails. And testing once at launch isn't enough, because AI changes every time the underlying model is updated.
A tribunal held Air Canada liable for what its chatbot told a customer. See more recent AI failures
How we keep you safe
The defender
We review your AI governance and architecture with your team: every system, agent, connector, data flow and permission. Then we test whether your controls would actually detect, stop and escalate an attack.
The attacker
A separate team attacks with only the access a potential hacker has: prompt injection, agent manipulation, data leakage, poisoning routes and fraud through the AI. Automated agents run thousands of probes; senior testers go after what would hurt your business.
The red team never sees the map while testing. Afterwards, every attack is checked against your defences: what was caught, what was missed, and what to fix.
Then we prove it: ranked findings, a board summary, a re-test after fixes.
See the full method
Find out whether your AI is ready before customers, staff or regulators rely on it.
Identify the risks to fix before wider rollout multiplies them.
Test again when models, data, permissions or agent capabilities change. A test at launch doesn't stay valid for ever.
Why FireBreak
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.
Why FireBreak
Start with the AI Risk Scorecard: fixed price, two to four weeks. See a sample report
