The OneSpan whitepaper highlights how risk analytics can strengthen fraud prevention in banking by using machine learning and real-time decision engines. It addresses challenges like account takeovers, new account fraud, and mobile channel attacks. Continuous monitoring across user behavior, devices, and transactions enables early detection of anomalies while reducing false positives. This approach balances security and user experience, allowing dynamic authentication based on risk scores. By integrating risk analytics with fraud systems, financial institutions can minimize losses, improve customer trust, and adapt quickly to emerging threats.

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