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Mastercard uses AI to flag real-time payment fraud for UK banks

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Mastercard is fighting fraudsters with its AI-powered ‘Consumer Fraud Risk’ solution, now available in the UK.

Leveraging Mastercard’s artificial intelligence capabilities and a network view of account-to-account payments, it helps banks predict and prevent fraudulent payments of any kind. In partnership with nine UK banks, including Lloyds Bank, Halifax, Bank of Scotland, NatWest, Monzo and TSB, Mastercard uses large-scale payment data to help identify payment frauds in real time. real time before the money leaves the victim’s account.

Organized criminals transfer “scam” money through a series of “mule” accounts to hide them. To combat this, for the past 5 years, Mastercard has been working with UK banks to track the flow of money through these accounts and then close them. Drawing on information from this tracing and overlaying it with specific analytic elements, Mastercard’s AI solution provides banks with the information they need to intervene in real time and stop payments before money is lost.

TSB was one of the first banks to adopt Mastercard’s Consumer Fraud Risk tool and has used it with great success. Other banks that accept the risk of defrauding consumers will do so in 2023.

“Banks have found these scams incredibly challenging to detect,”
“Their customers pass all the required checks and send the money themselves; criminals haven’t needed to break any security measures. As we all live more digital lives this type of fraud erodes victims’ confidence to interact online. Our goal is to build and maintain that trust. Using the latest AI technology, we are helping banks identify and predict which payments are being made to fraudsters and stop them in real-time.”
Ajay Bhalla, president of Cyber and Intelligence at Mastercard.

Mastercard will be rolling out Consumer Fraud Risk in the UK first, as it has extensive experience in tracking and preventing financial crime in the country’s real-time banking system and has help coordinate banks sharing their fraudulent data. It is currently approaching the next most suitable markets to adopt this technology.

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