Mastercard launches GenAI tool to tackle fraud

Payments giant Mastercard is implementing new generative AI (GenAI) technology to help banks combat fraud.

The company said that the technology scans an “unprecedented” one trillion data points to predict whether a transaction is likely to be geninue or not.

Mastercard already uses decision intelligence (DI) technology to safely approve around 125 billion transactions a year.

The GenAI works by assessing the relationships between several entities surrounding a transaction in order to determine its risk.

Mastercard says that in less than 50 milliseconds, this technology improves the overall DI score, "sharpening the data provided to banks".

According to the business, initial modelling shows the AI enhancements boost fraud detection rates on average by 20 per cent and as high as 300 percent in some instances.

“With generative AI we are transforming the speed and accuracy of our anti-fraud solutions, deflecting the efforts of criminals, and protecting banks and their customers," said Ajay Bhalla, president of cyber and intelligence at Mastercard. "Supercharging our algorithm will improve our ability to anticipate the next potential fraudulent event, instilling trust into every interaction.”

The company also said that the move will further mitigate what are known as false positives, or legitimate transactions which are incorrectly flagged as fraudulent ones.

Bhalla continued: “The precision of the solution – achieved by scanning potential points of sale in real time - has been shown in our own analysis to not only increase accuracy, but also reduce the number of false positives by more than 85 per cent."



Share Story:

Recent Stories


Bringing Teams to the table – Adding value by integrating Microsoft Teams with business applications
A decade ago, the idea of digital collaboration started and ended with sending documents over email. Some organisations would have portals for sharing content or simplistic IM apps, but the ways that we communicated online were still largely primitive.

Automating CX: How are businesses using AI to meet customer expectations?
Virtual agents are set to supplant the traditional chatbot and their use cases are evolving at pace, with many organisations deploying new AI technologies to meet rising customer demand for self-service and real-time interactions.