Real-Time Fraud Detection for Regional Bank
Built and deployed a GPU-accelerated fraud detection platform processing 2.4 million transactions per day with sub-50ms latency and a 94% fraud catch rate.
The challenge
The bank's existing rule-based fraud system generated excessive false positives, frustrated customers, and missed sophisticated fraud patterns that evolved faster than manual rule updates could track.
Our solution
Everlast Data replaced the legacy system with an ensemble ML model trained on transaction graphs, behavioural biometrics, and device fingerprinting — served via a low-latency GPU inference cluster.
The outcome
Fraud losses reduced by 41%, false positive rate cut by 67%, and customer friction at checkout dropped significantly — all while maintaining full regulatory compliance.
Solutions applied
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