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Mastercard is using generative AI „to double the speed at which it can detect potentially compromised cards”

24 mai 2024

The new technology works by scanning transaction data across billions of cards and millions of merchants „at faster rates than previously imaginable”. In doing so it alerts Mastercard to new, complex fraud patterns.

Fraudsters steal millions of payment card numbers through spyware, malware, and other clandestine practices such as card skimming. In a bid to sell this data to other criminals, they place part of the 16-digit numbers on illegal websites. „Mastercard is now better able to predict the full card detail of these compromised cards on its network, enabling banks to block them far faster than previously.” – according to the press release.

Using generative AI-based predictive technology built by Mastercard it is able to protect future transactions against emerging threats, by:

. doubling the detection rate of compromised cards

. reducing false positives during the detection of fraudulent transactions against potentially compromised cards by up to 200%

. increasing the speed of identifying merchants at-risk from – or compromised by – fraudsters by 300%. 

„As a result of these enhancements, Mastercard alerts banks more quickly and with greater accuracy when a card is likely to have been compromised. The card can then be blocked and reissued. Attempted transactions on the compromised card can be continuously monitored to mitigate fraud and enhance cyber security, further instilling trust.” – the company explained.

Until now fraudsters may have thought they were operating in obscurity, seeking to launder the card details of millions of unsuspecting victims. Thanks to our world-leading cyber technology we can now piece together the jigsaw – enhancing trust to banks, their customers and the digital ecosystem as a whole,” said Johan Gerber at Mastercard.

This latest enhancement, leveraging cutting-edge generative AI techniques, turbocharges Mastercard’s suite of security solutions. Cyber Secure, available since 2020, uses integrated technology to create a baseline of transparent cybersecurity information on bank and merchant online profiles in the payment ecosystem, including details of suspected compromised cards.

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Anders Olofsson – former Head of Payments Finastra

Banking 4.0 – „how was the experience for you”

So many people are coming here to Bucharest, people that I see and interact on linkedin and now I get the change to meet them in person. It was like being to the Football World Cup but this was the World Cup on linkedin in payments and open banking.”

Many more interesting quotes in the video below:


In 23 septembrie 2019, BNR a anuntat infiintarea unui Fintech Innovation Hub pentru a sustine inovatia in domeniul serviciilor financiare si de plata. In acest sens, care credeti ca ar trebui sa fie urmatorul pas al bancii centrale?