Improve A2A fraud detection by 54%+¹

Improve A2A fraud detection by 54%+¹

Visa Account-to-Account Protect: AI-powered, real-time risk scoring for fraud detection that combines card payment network and A2A data.

Real-time payments fraud is on the rise

In 2023, £600m was lost to APP scams and fraud in the UK². With institutions now facing greater responsibility for reimbursing victims, the need for advanced risk detection and prevention has never been higher.
  • 1in3 1 in 3 consumers have fallen victim
to an APP scam³

  • £1977 £1,977 was lost on average per
APP scam in 2023⁴

  • £600m £600m was lost to APP scams and fraud in 2023²

See how Visa A2A Protect works to improve fraud detection

Discover how Visa A2A Protect can combine advanced artificial intelligence and multi-rail transaction data to help safeguard your customers and protect your organisation.

4 key benefits of Visa A2A Protect

Visa A2A Protect helps prevent real-time payment fraud and scams—backed by Visa’s expertise in delivering consumer protection and network resilience through use of AI.

Simple, seamless integration ready to plug into your systems

Visa A2A Protect uses Visa’s vast transaction data and AI-driven risk scoring to help Financial Institutions prevent fraud and reduce customer friction. It can integrate seamlessly with existing systems to add an enhanced, scalable layer of protection against scams and unauthorised transactions.

Case Studies

Discover how iFAST Global Bank launched in the UK with Visa

BORDERLESS BANKING, BUILT FOR THE UK Discover how iFAST Global Bank launched in the UK with Visa

See how Visa's market insight and fraud prevention solutions helped iFAST Global Bank enter the UK at speed – building a secure, scalable foundation for borderless banking.
Pay UK logo

UK Pilot: 54%+ improvement in fraud detection¹

Visa was chosen by Pay.UK as one of three partners to test a new fraud prevention service for UK financial institutions. Using AI and machine learning, Visa analysed billions of transactions—covering over 50% of annual UK account-to-account payments. While the partners in the pilot achieved an average 40% improvement in fraud detection, Visa exceeded this figure, identifying 54% of fraudulent transactions that had already passed through sophisticated bank and PSP fraud detection systems.¹

“The positive results from this pilot demonstrate the importance of innovation and cross-industry collaboration in developing effective solutions to stay ahead of fraudsters and protect people in the ever-changing payments landscape.”

Aneet MorarChief Product Officer (Interim), Pay.UK

Learn how we can combat A2A fraud together

ON-DEMAND WEBINAR Learn how we can combat A2A fraud together

Watch our on-demand webinar ‘Using AI to combat Account-to-Account (A2A) Fraud’ featuring insights from Juniper Research and Visa to understand how AI is helping Visa fight fraud.
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Frequently asked questions

Learn more about how Visa A2A Protect works in practice.

Ready to level up your fraud protection?

Book a 45-minute demo session, where we'll delve into your business requirements and walk you through how Visa A2A Protect can help you improve fraud detection and enhance your customers’ experience.

Fraud insights and related solutions

1. Visa Pay.UK case study. Improvement over A2A fraud detection without Visa A2A Protect solution. More details available at: https://corporate.visa.com/content/dam/VCOM/corporate/products/documents/visa-protect-for-a2a-payments-pay.uk-case-study.pdf

2. According to data from the UK Finance Annual Fraud Report 2024: https://www.ukfinance.org.uk/policy-and-guidance/reports-and-publications/annual-fraud-report-2024

3. Mintel Research commissioned by Visa Europe, conducted among UK Internet users aged 18 and above, between 28 April 2023 and 12 May 2023

4. £1,977 was lost on average per APP scam in 2023. Derived from UK Finance Annual Fraud Report 2024, https://www.ukfinance.org.uk/policy-and-guidance/reports-and-publications/annual-fraud-report-2024#:~:text=The%20sums%20of%20money%20stolen,billion%20and%202.97%20million%20respectively