Case Study: Nets Group achieves 50% higher fraud detection, up to 70% reduction in card fraud and halves false positives with SAS Fraud Management (SAS)

A SAS Case Study

Preview of the Nets Group Case Study

Nets Group - Customer Case Study

Nets, Europe’s second-largest payments processor serving 250 banks, 350,000 merchants and 19 million cardholders across the Nordics and Baltics, faced growing, more sophisticated card fraud—from skimming and phishing to bots that can drain accounts in seconds. The company needed to shift from a reactive, post-transaction investigation model to real-time prevention to protect customers and limit losses.

By implementing SAS Fraud Management, which uses machine learning to build behavioral profiles and score transactions in real time at the point of sale, Nets now blocks suspicious activity before transactions complete. The solution boosted fraud-detection rates by 50%, reduced card fraud by 50–70% for cards in its optional prevention program, and cut false positives in half, improving customer satisfaction and supporting law enforcement efforts.


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Nets Group

Kaspar Kock Kristensen

Senior Vice President of Fraud and Dispute Services


SAS

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