NVIDIA launches AI Blueprint to fight credit card fraud with better accuracy

With global credit card fraud projected to cross $403 billion in the next decade, NVIDIA is stepping in with AI-powered backup. Unveiled at the Money20/20 financial conference, NVIDIA’s new AI Blueprint for financial fraud detection aims to help banks and institutions catch fraud faster—and with fewer false alarms.

The Blueprint taps into NVIDIA’s AI Enterprise software and accelerated computing to detect subtle anomalies across massive transaction data. Compared to old-school fraud tools, this one promises up to 40% better accuracy and a big cut in false positives.

At the core is NVIDIA RAPIDS for real-time data processing, graph neural networks (GNNs) to trace hidden links across accounts, and XGBoost for final anomaly scoring. All of this is optimized through NVIDIA Dynamo-Triton for fast AI inference.

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You can try it today via Amazon Web Services, with Dell and HPE support coming soon. NVIDIA partners like Cloudera, EXL, Infosys, and SHI International are also offering the tools.

While it’s focused on credit card fraud detection, the system can easily be adapted to catch account takeovers, money laundering, and new account scams.