<ul><li>AI algorithms can revolutionize fraud detection and prevention in digital banking.</li><li>AI analyzes vast datasets in real-time to detect anomalies and predict fraud, enabling prevention of unauthorized activities.</li><li>Challenges include privacy concerns, cybersecurity risks, high costs, and shortage of skilled professionals in AI adoption.</li><li>Hybrid AI models, like XFraud, and Deep Neural Networks enhance security and accuracy in detecting fraudulent transactions.</li></ul>

Rethinking Security: Innovations in AI for Fraud Detection in Digital Banking

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