IBM: Next Generation Criminal Fraud Detection
In today’s ever changing fraud landscape, much of the currently used statistical-based fraud detection methodology is creating significant challenges for both organizations and end users. These statistical models generate high false positive rates and provide a risk score that does not effectively distinguish between legitimate and malicious activity.
Additionally, these dated risk-based authentication solutions, working with step-up authentication, were built upon the assumption that
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