ML-Powered Transaction Fraud Detection for a Financial Institution
A financial institution was experiencing increasing losses from fraudulent mobile and card transactions, with existing rule-based controls generating too many false positives (blocking legitimate customers) while missing sophisticated new fraud patterns. The fraud operations team was overwhelmed with manual review queues.
View Case Study