The use case: how BigPay deploys Feedzai
BigPay, an e-money platform in Malaysia, uses Feedzai's transaction fraud platform to build and deploy detection and decline rules that identify and block money mule activity across transfer and card channels. Rules are simulated and validated before going live.
More reported results
Figures published in Feedzai’s case study. They are not independently measured by usedby.
BigPay neutralized a new mule network surge in Malaysia within 72 hours
BigPay was receiving over 1,000 reported mule cases per month which took a toll on internal processes and resources.
In the customer’s words
Our partnership with Feedzai is critical in combating mule account activity. At its peak, it took weeks to respond to suspicious activity—today, that's been reduced to just hours. This speed allows us to identify emerging fraud patterns earlier.We are impressed with the speed and efficiency of rule deployment on the Feedzai platform. This has significantly improved our ability to respond quickly to emerging threats and adapt to evolving regulatory requirements,Feedzai users in Fintech & Payments
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Based on Feedzai’s published case study. We check the public evidence; the results are reported by the vendor.
feedzai.com- Source published
- Feb 25, 2025
- Last checked
- Oct 7, 2026
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- The figure: 90%+Checked
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- The passage quoted aboveChecked
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- BigPay uses FeedzaiChecked
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- The result itselfNot checked
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Due to this multi-layered detection approach and rapid threat response, BigPay neutralized a new mule network surge in Malaysia within 72 hours, reducing overall mule activity by 90%+ in 60 days.