A2A Transaction Fraud Monitoring

Reduce account-to-account (A2A) payments fraud and improve customer experience

How is your business balancing fraud and security while protecting your brand in the changing A2A payment landscape?

The sharp increase in instant A2A transactions, such as person-to-person (P2P) payments, digital wallets and QR codes, are becoming the target of fraudsters around the world. Issuers must refocus their fraud and security strategies to include this rapidly growing change and risk.


Estimated global P2P market in 2030

– Precedence Research


Of people worldwide will use digital wallets by 2026

– Computer Weekly


Estimated global spending by QR codes by 2025

– QR Code Tiger

Know when an A2A transaction is legitimate or the result of a scam

A2A Transaction Fraud Monitoring is a powerful AI solution that detects fraud across payment rails. This highly accurate solution protects you and your customers from attacks such as social engineering, authorized push payments fraud and account takeover (ATO). Output scores indicate likelihood of fraud and scams in real time.

The solution is built quickly using your historical data and ready to deploy in six to eight weeks.

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Deploy in any market worldwide and start seeing results right away

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Increase real-time fraud detection

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Improve customer experience and protect your brand

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Be transparent with innovative explainable models

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Save time and money with fast easy model build and deployment

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Simplify rules with a customizable Rules Management module

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Powered by Brighterion AI

What makes us different?

  • Full stack, state-of-the-art machine learning toolkit allows for custom model development in 6-8 weeks
  • Unrivaled model building, deployment speed and scalability, allowing for easy implementation, lightning-fast response times (<10 ms*) and resiliency
  • Rapid deployment is enabled using cloud-based API, multi-tenant, PCI-certified MC Connect integrated modules
  • A modern and configurable interface with customizable rules, case management and insights modules
  • Industry-leading data responsibility practice, with embedded human-centered data innovation and product design principles

* 100-120 ms in the cloud or 10 ms on-premise

Case study: One of the largest global payment networks


Increased incremental fraud detected


Approved transactions

Related resources

Payments Journal podcast: Sudhir Jha and Brian Riley
Brighterion's report cover image: FIs perspectives on AI to detect transaction fraud
graph of businesses that want faster A2A payments

For more great content visit our resource library.

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