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FICO’s Adaptive Analytics use self-learning AI to dynamically adjust underlying fraud models based on feedback from frontline fraud analysts. This feedback loop utilizes current case dispositions to identify emerging fraud trends and reduce false positives by understanding legitimate, yet atypical, consumer behavior changes. The results have been proven to improve fraud detection by 10% at a constant review rate.