Case Study: a London-based mobile payments company scales global fraud monitoring with Fraud.net

Mobile Payment Network Scales Efficiently with Transaction Monitoring

A London-based mobile payments company, which serves major clients like Amazon and Netflix, faced challenges scaling its global operations due to an outdated, on-premise fraud detection system. Following acquisitions and the launch of a new instant payment rail, the company needed a modern solution for real-time monitoring and machine learning capabilities, prompting them to partner with Fraud.net.

Fraud.net implemented a comprehensive platform featuring custom machine learning models, real-time transaction monitoring, and a globally compliant infrastructure built on AWS. This solution enabled the payments company to modernize its risk management, resulting in an 88% reduction in fraud for its clients and achieving 60% cost savings using Fraud.net's platform.