# How BigPay uses Feedzai

**90%+** reduction in mule activity within 60 days

As published on [feedzai.com](https://www.feedzai.com/customer-stories/bigpay-money-mules/), February 2025. Captured by usedby on 2026-10-07.

- Company: [BigPay](https://www.usedby.ai/companies/bigpay.md)
- Tool: [Feedzai](https://www.usedby.ai/tools/feedzai.md)
- Industry: [Fintech & Payments](https://www.usedby.ai/companies/industry/fintech-payments.md)
- Teams: fraud analysts, fraud teams

## 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.

Summary written by usedby from the source page, in English. The figures are those of Feedzai and BigPay, not ours.

> 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.

- **72 hours**: “BigPay neutralized a new mule network surge in Malaysia within 72 hours”
- **1,000**: “BigPay was receiving over 1,000 reported mule cases per month which took a toll on internal processes and resources.”

> 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.
>
> Hazwan Hatta, BigPay Group CEO

Source: [feedzai.com](https://www.feedzai.com/customer-stories/bigpay-money-mules/), captured 2026-10-07.

> 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,
>
> Vishnu Govindasamy, Operational Risk Lead and Risk & Product Experience Squad Lead at BigPay

Source: [feedzai.com](https://www.feedzai.com/customer-stories/bigpay/), captured 2026-10-07.

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- [Credibanco](https://www.usedby.ai/companies/credibanco.md) — Confirmed
- [Elo](https://www.usedby.ai/companies/elo.md) — Confirmed
- [Jack Henry](https://www.usedby.ai/companies/jack-henry.md) — Confirmed
- [PayU](https://www.usedby.ai/companies/payu.md) — Confirmed
- [Unzer](https://www.usedby.ai/companies/unzer.md) — Confirmed

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure 90%+ is on the page; its label is our wording.
- Checked: the passage quoted above is copied word for word from the page, near the name of BigPay.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: BigPay uses Feedzai. Confirmed line. Latest check across sources: 2026-10-20.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/bigpay-feedzai · How we check: https://www.usedby.ai/methodology
