Why AI Needs Independent Testing Before It Goes Live
By Jora Gill · · Updated · 6 min read
Most AI pilots look good. They are tested on hand-picked questions, by friendly users, with clean data. Production is different: real customers phrase things oddly, data is messy, and some users actively try to break the system.
Why pilots mislead
- Demo questions are written by the people who built the system.
- Pilot users want it to work and forgive mistakes.
- Nobody tries to attack it.
- Outcomes for different groups of users are rarely compared.
Why the builder should not be the only tester
Teams that build a system test the cases they thought of. The failures that hurt are the ones they did not think of. That is why software security has long relied on independent penetration testing, and why financial accounts have independent auditors. AI needs the same separation.
What to test before launch
- Security: prompt injection, jailbreaks, data leakage and excessive agent access.
- Reliability: accuracy and consistency on real questions, and honesty when it does not know.
- Fairness: whether different groups receive equally good outcomes.
- Governance: ownership, oversight, audit trails and incident response.
After launch
Models are updated, prompts are changed and new data arrives. Behaviour that passed testing in March can fail in June. Keep the tests and re-run them after every change.
Find out what your AI will get wrong, before anyone else does.
FireBreak independently tests AI for security, reliability, fairness and governance. We never assess systems we built, and we never sell fixes for what we find.