White Paper

Fighting Fraud with a Model of Models

Fighting Fraud with a Model of Models

Pages 20 Pages

The KPMG and Nets whitepaper introduces the Nets Fraud Ensemble, an AI-powered solution to prevent payment card fraud. Traditional rule-based systems struggle with rising fraud complexity, but the ensemble uses machine learning on historic transaction data to generate fraud scores and detect patterns in real time. It reduces fraud by up to 40% while lowering false positives and operational costs. The system leverages fraudsters’ limitations, merchant/cardholder behaviors, and time-sensitive anomalies. It also optimizes thresholds dynamically and ensures GDPR-compliant explainability to balance security and user experience.

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