# How BigPay uses Feedzai

**95%** Fraud detection rate

As published on [feedzai.com](https://www.feedzai.com/customer-stories/bigpay/), 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: Risk

## The use case: how BigPay deploys Feedzai

BigPay uses Feedzai's platform to consolidate its fraud and AML monitoring into a single system, replacing manual Excel-based reviews and multiple separate tools. It applies AI and machine learning for real-time transaction fraud detection and faster deployment of fraud rules.

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

> Fraud detection rates have improved significantly from a range of 80-85% to 95%. This improved performance has significantly reduced financial losses and improved customer trust.

- **400 milliseconds**: “The Feedzai platform exhibits fast response times, with API responses typically within 400 milliseconds, ensuring seamless and efficient transaction processing.”

> 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.

> 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.

## Feedzai users in Fintech & Payments

- [Corecard](https://www.usedby.ai/companies/corecard.md) — Confirmed
- [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 95% 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-2 · How we check: https://www.usedby.ai/methodology