Rule-based engines and simple predictive models could identify the majority of fraud attempts in the past, yet they aren’t keeping up with the scale and severity of fraud attempts today. Fraud attempts and breaches are more nuanced, with organized crime and state-sponsored groups using machine learning algorithms to find new ways to defraud digital businesses. Fraud-based attacks have a completely different pattern, sequence, and structure, which make them undetectable using rules-based logic and predictive models alone.

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