Real-time fraud detection at 99.3% precision
Results at a glance
99.3%
fraud detection precision
0.04%
false positive rate
89%
reduction in fraud losses
The Challenge
A fast-growing digital bank was experiencing a 2.1% fraud rate on card transactions — three times the industry average — causing $9M in annual losses and eroding customer trust.
What We Built
We deployed a two-stage fraud detection pipeline: a lightweight rule engine for instant blocking of obvious fraud, followed by a deep learning model scoring every transaction in under 40ms. The model learns continuously from confirmed fraud signals.
The Results
Project details
Client
Regional Digital Bank
Industry
Financial Services
Service
Custom ML Solutions
Duration
10 weeks
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