AWS explores using AI to track fraud patterns and assist banks with investigations

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Paul Chang, head of payment networks at AWS, said banks are using machine learning, transaction foundation models, and graph analytics to identify evolving fraud patterns. Transaction foundation models generate representations from sequences of financial activity, while graph analytics connect accounts, transactions, IP addresses, and devices; AI agents can organize investigative evidence and make recommendations, but case disposition and SAR filing remain human decisions.