BigPay

BigPay Reaches 95% Fraud Prevention Rate

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Industry:
FinTech, Financial Services, Online Banking

Region:
Malaysia

Solution:
Transaction Fraud

Key Results

95%

Fraud Detection Rate

400

Response Within 400 Milliseconds

Background

BigPay, a leading digital financial services provider in Southeast Asia, offers a comprehensive suite of financial products and services to consumers. Founded in 2017, BigPay has rapidly expanded across key markets, including Malaysia, Singapore, and Thailand. Today, the f irm proudly serves over 3 million customers, empowering seamless transactions at more than 130 million merchants worldwide. Initially launched with core features like mobile wallet top-ups, peer-to-peer transfers, and a virtual Visa card, BigPay has consistently evolved to meet the changing needs of its customers. Key product enhancements include cash top-ups through retail outlets like 7-Eleven, enhanced local and international remittance services, and the addition of QR payment capabilities.

Scaling Fraud Prevention for Growth

As BigPay’s market presence grew, so did the complexity of its fraud and anti-money laundering (AML) prevention efforts. The company’s reliance on manual, Excel-based reviews for rules and account monitoring made it challenging to respond swiftly to emerging risks. This approach also presented scalability limitations, making it harder to support rapid growth efficiently. Implementing and deploying new fraud rules within the existing system required significant time and effort, delaying the ability to adapt to evolving threats. BigPay also operated within a diverse technology ecosystem, utilizing multiple systems such as Visa Risk Manager, Adyen’s RevenueProtect, and ComplyAdvantage for an AML platform. As transaction volumes and product offerings expanded, the need for a more scalable and streamlined approach became evident. With increasing regulatory oversight in Southeast Asia and rising expectations from acquirers, BigPay recognized the importance of strengthening its fraud and AML controls. The company sought a more integrated, efficient, and future-ready solution to enhance fraud prevention, improve operational agility, and ensure compliance with evolving regulatory requirements.

The Solution

Recognizing the need for a modern and sophisticated approach, BigPay selected Feedzai, a leading provider of AI-powered fraud prevention and AML solutions. Feedzai’s platform offered the following key capabilities:

  • Consolidate Fraud and AML Monitoring
    The solution unifies all fraud and AML monitoring activities onto a single, centralized platform, eliminating the need for managing multiple disparate systems. This enabled a holistic view of risk across all channels.
  • Enhance Scalability
    The solution is scalable and capable of handling BigPay’s growing needs and the increased transaction volumes of its customer base. Just as importantly, it continuously evolves with changing risk needs and realities.
  • Advanced AI and Machine Learning Capabilities
    Leveraging cutting-edge AI and machine learning algorithms for real-time threat detection and risk assessment empowers BigPay to detect and prevent sophisticated fraud patterns, such as anomaly detection and behavioral analysis.
  • Robust Integration Capabilities
    Existing systems and workflows can seamlessly integrate within the BigPay ecosystem using APIs and webhooks.
  • Rapid Rule Deployment
    Faster and more efficient rule development and deployment is enabled through a userfriendly interface, enabling new fraud rules to quickly adapt to evolving threats and regulatory requirements.

"Feedzai has been instrumental in helping us enhance our fraud prevention capabilities and streamline our operations...The platform’s AI-powered capabilities and ease of use have significantly improved our ability to detect and prevent fraud in real time.”

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

The partnership with Feedzai has delivered significant benefits for BigPay:

  • Response Within 400 Milliseconds
    The Feedzai platform exhibits fast response times, with API responses typically within 400 milliseconds, ensuring seamless and efficient transaction processing.
  • Enhanced Risk Management and Scalability
    Deeper insights into fraud trends and patterns are readily available, enabling proactive risk management and improved decision-making. This gives BigPay the ability to scale fraud prevention capabilities in line with its business growth and expanding product offerings.

BigPay is working closely with the Feedzai team to centralize their current fragmented Fraud and AML systems into one single solution within the Feedzai RiskOps platform. BigPay expects to reap additional benefits upon completion of its full-on migration with Feedzai:

  • 95% Fraud Detection Efficiency
    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.
  • Enhanced Operational Efficiency
    Consolidating monitoring activities onto a single platform has streamlined operations, consolidated systems, and automated manual tasks. This has resulted in significant time and cost savings, faster rule deployment, and more efficient investigation processes.
  • Enhanced Regulatory Compliance
    BigPay’s compliance posture has been strengthened, enabling the company to easily meet new regulatory requirements of local Southeast Asian markets.
  • Improved Customer Experience and Onboarding
    The customer journey is enhanced by minimizing false positives, enabling faster transaction processing. Meanwhile, an enhanced customer onboarding experience leveraging Feedzai’s capabilities enables BigPay to identify and mitigate risky new customer accounts.

"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.

A Future Built on AI and Machine Learning

The case study of this Australian payment provider’s successful collaboration underscores the enormous potential of Feedzai’s Transaction Fraud Solution. It also demonstrates that with the right tools, real-time payments systems such as NPP can be both secure and efficient.

Future-facing collaborations include full integration and automation that will allow BigPay to leverage all functionalities to create an end-to-end fraud and AML solution. Feedzai’s industry-recognized machine learning capabilities can automate decision-making processes and minimize manual intervention.

Integrating with advanced machine learning technology will allow BigPay to explore and implement real-time risk scoring and make adjustments based on customer behavior and evolving threat intelligence. This will enable more proactive and dynamic risk management strategies. Leveraging Feedzai’s customer profiling capabilities will deliver deeper insights into customer behavior and identify potential risks early on before fraud can reach the point of transaction.

Page printed in July 1, 2025. Plase see https://www.feedzai.com/customer-stories/bigpay for the latest version.