AI that touches money has to be proven, not hoped.
Banks, lenders, insurers and fintechs put AI in front of customers and inside credit, fraud and advisory workflows. SENTINEL-X tests those systems against the model-risk, fair-lending and operational-resilience rules you already answer to.
What goes wrong — and how SENTINEL-X catches it.
An assistant gives regulated financial advice or invents a fee
Regulated-advice, hallucination-trap and brand-integrity tests, judged against a written rubric.
Credit or claims answers differ by gender, age or postcode
Paired counterfactual tests compared by the Comparer role; ties and splits fail.
An agent moves money without confirmation or beyond its limit
Unauthorised-action, confirmation-before-acting and tool-argument tests.
Card or account data leaks into a reply
Exact pattern checks for personal and card data, plus data-exfiltration attacks.
Model risk asks for validation evidence you don't have
Run reports, reviewer decisions and sign-offs exported as an evidence pack.
Frameworks in scope
Key test dimensions
See SENTINEL-X test your own AI system.
Bring an endpoint. In one session we connect it, generate its suite, and run it live — you keep the report.