Fraud detection is a race against massive transaction volumes. Mastercard processes about 160 billion transactions yearly, with surges up to 70,000 per second during peak times like the holidays. Their fraud platform, Decision Intelligence Pro (DI Pro), uses advanced AI to analyze each transaction in under 300 milliseconds. At its core is a recurrent neural network that assesses transaction patterns to determine fraud risk, treating it as a recommendation problem. Mastercard also addresses data sovereignty by using anonymized global data to make local decisions quickly.
Fraudsters continuously evolve, but Mastercard fights back using “honeypots,” artificial traps that help reveal illicit networks through AI and graph analysis. This approach enables the mapping of complex fraud webs to block scammers before they succeed.
The podcast accompanying this article explores how Mastercard builds these AI tools, emphasizing engineering alignment, prioritization, and phased AI deployment, as well as innovations like malware sandboxes and global yet privacy-conscious data strategies.
