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AI-Powered Risk Scoring Models For Real-Time Fraud Detection in Digital Banking Ecosystems by techcoordinator.ugl is a document available to read on EtoBox.
This paper explores the integration of AI in real-time fraud detection within digital banking, highlighting the limitations of traditional methods against sophisticated financial crimes. It proposes an AI-powered risk scoring framework that combines machine learning, behavioral analytics, and ethical considerations to enhance predictive accuracy and reduce false positives. The study emphasizes the need for a proactive approach to fraud detection, addressing operational challenges and advocating for a more s
- Author
- techcoordinator.ugl
- Language
- EN