Fighting fraud with a model of models
Man and machine are the perfect pair when it comes to fighting payment fraud. The whitepaper, Fighting Fraud with a Model of Models, explains how utilising human expertise in combination with artificial intelligence (AI) and machine learning (ML) technologies can significantly increase the accuracy of fraud prevention services.
Fighting Fraud with a Model of Models explores the theoretical approach behind Nets Fraud Ensemble, an AI-powered anti-fraud engine developed by Nets in collaboration with KPMG, which can reduce fraudulent transactions by up to 40% on top of existing AI fraud prevention measures, for the benefits of banks, merchants and cardholders, as well as society in general.
The whitepaper is available for download below
Download the full report