The case for purpose-built generative AI in fraud prevention
FinanceAccountingCybersecurity
THE AI ANGLE
Evaluating transaction histories in real time to detect fraudRecent computing improvements allow financial institutions to use purpose-built transformer models trained on transaction data. These focused models evaluate a customer's full transaction history in real time rather than relying on broad profile summaries. For professionals in financial crime prevention, this approach targets specific threats like account takeovers and scams while reducing false alarms.
THE TEACHING ANGLE
Teams must balance the accuracy of deploying multiple specialized models against the complexity of managing distinct systems for different fraud types.Read the original at techradar.com Generate teaching or study materials
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