You're staring at a fraud alert. SHAP spits out an explanation—three seconds later, with wobbly numbers. Enter the neuro-symbolic fix that laughs at that latency.
Everything screamed 'all clear' in the fraud model. Then the symbolic layer screamed fraud drift—without a single label in sight.
Banks pour billions into fraud detection. Yet scams thrive. What's broken?
One percent false positives. Tens of thousands angry customers. That's the rules-engine nightmare payments teams can't escape—until AI steps in, sort of.
Picture a black-box neural net suddenly spitting out crisp IF-THEN rules for fraud, zero hand-holding required. This neuro-symbolic experiment bridges the gap between raw prediction power and regulatory-ready logic.