The use of AI in banking fraud detection is becoming more and more popular. Indeed, the statistics surrounding online fraud are alarming. Cybercrime imposes a significant cost on the global economy ...

Proactive monitoring tools, such as a third-party hotline platform and data analytics, coupled with employee engagement and a ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

Financial institutions lose billions annually to fraud while legitimate customers abandon transactions due to false positives. This costly paradox reveals why the next wave of AI innovation in banking ...

In order to strengthen anti-fraud guidelines within banking institutions, the National Banking and Securities Commission (CNBV) is implementing one of its most ambitious provisions in recent years, ...

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Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

NEW YORK, NY, UNITED STATES, May 5, 2025 /EINPresswire.com/ -- DigiAsia Corp Announces Full Implementation of AI-Powered Fraud Detection System Across All Mobile ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

RIZAL Commercial Banking Corporation (RCBC) has strengthened its fraud detection and cyber risk management systems as ...

As the Universal Health Care (UHC) law reshapes hospital payments, a new study is calling for an overhaul of the fraud ...