Machine Learning · Finance
Stopping fraud in 40ms for a digital bank
A real-time fraud detection engine scoring every transaction with explainable decisions.
Meridian Bank2025
0%
fraud losses
0ms
decision latency
0%
false positives
01
The challenge
Meridian's rules-based fraud system was slow and noisy — high false positives frustrated customers while sophisticated fraud slipped through.
02
Our solution
We deployed a real-time ML engine that scores each transaction in under 40ms, combining graph features and behavioral signals, with explainable outputs for compliance and analyst review.
03
The outcome
Fraud losses fell 63% while false positives dropped by nearly half, improving both security and customer experience.
Technologies
XGBoostGraph MLKafkaFeastKubernetes
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