Case Study: BigPay achieves 90%+ reduction in mule activity with Feedzai

BigPay cuts mule activity by 90% with Feedzai

BigPay, one of Malaysia's fastest-growing e-money platforms, faced a significant challenge from organized money mule networks, which were using its platform to move stolen funds. This resulted in over 1,000 reported mule cases per month, straining internal resources and negatively impacting the customer experience when legitimate transactions were declined by other institutions. BigPay partnered with Feedzai to enhance its fraud detection and response capabilities.

Feedzai's solution involved leveraging its platform's cross-channel visibility to rapidly build and deploy detection rules that evaluated the full payment journey. This allowed BigPay's team to quickly identify and block new cash-out channels used by mules. The implementation led to a 90%+ reduction in mule activity within 60 days and enabled BigPay to neutralize a new mule network surge in just 72 hours, dramatically improving its fraud response speed and analytical capabilities.

BigPay