From NBCUniversal:

Mastercard has developed a proprietary AI model, Decision Intelligence Pro, to help banks detect and stop fraudulent transactions. The model, trained on the 125 billion transactions the company processes annually, uses heat-sensing algorithms to determine whether a transaction is suspicious. The company invested more than $7 billion in cybersecurity technologies over the last five years.

Bhalla, Mastercard’s president, said the new technology can improve financial institutions’ fraud detection rates by 20%, with reported improvements of up to 300% in some cases. Competitor Visa has also invested in AI, including a $100 million venture fund for generative AI startups. Mastercard anticipates its algorithm will save banks up to 20% in costs.

Mastercard’s new fraud detection technology will allow banks to save up to 20% in costs, significantly improving fraud detection rates. The AI model, trained on massive amounts of transaction data, has already shown improvements of up to 300%. Competitor Visa has also invested in AI technologies, including a $100 million venture fund for generative AI startups.

Mastercard has developed a proprietary AI model to help banks improve fraud detection rates while saving costs. The technology, which promises to reduce costs for banks up to 20%, uses heat-sensing algorithms to detect possibly fraudulent transactions.

Mastercard has developed a proprietary AI model to help banks improve fraud detection rates while saving costs. The technology, which promises to reduce costs for banks up to 20%, uses heat-sensing algorithms to detect possibly fraudulent transactions. According to Bhalla, Mastercard anticipates its technology will allow banks to save as much as 20% in costs devoted to assessing illegitimate transactions.

Mastercard has developed a proprietary AI model to help banks improve fraud detection rates while saving costs. The technology, which promises to reduce costs for banks up to 20%, uses heat-sensing algorithms to detect possibly fraudulent transactions. The model also aims to identify fraudulent patterns and trends to predict future types of fraud.



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