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Mastercard Enlists Generative AI to Help With Fraud Detection

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Mastercard is using generative AI to double the speed at which it can detect potentially compromised card.

Insider Brief

  • Mastercard is using generative AI to double the speed at which it can detect potentially compromised card.
  • The company says it’s another layer of protection and security for cardholders and the ecosystem.
  • GenAI is able to, among other things, increase the speed of identifying merchants at-risk from – or compromised by – fraudsters by 300%.

PRESS RELEASE — As fraudsters seek new ways to exploit technology, Mastercard is using generative AI to double the speed at which it can detect potentially compromised cards, further protecting cardholders and securing the ecosystem.

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, a world leader in cyber security, 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.

“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.

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. 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.

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.

Matt Swayne
About the author
Matt Swayne

With a several-decades long background in journalism and communications, Matt Swayne has worked as a science communicator for an R1 university for more than 12 years, specializing in translating high tech and deep tech for the general audience. He has served as a writer, editor and analyst at The Space Impulse since its inception. In addition to his service as a science communicator, Matt also develops courses to improve the media and communications skills of scientists and has taught courses.

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