Fraud Detection and Prevention using a Data-Driven approach

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Attackers and fraudsters continually hone and sharpen their capabilities.  The result of this is that online businesses are losing millions of dollars each year to fraud, with these losses growing each year.  It’s clear that rule-based approaches to fraud detection and prevention have not been relevant or helpful for quite some time.  That leaves security and fraud teams looking to AI and machine learning models as the next generation in fraud detection and protection.  That being said, with most vendors using the same jargon, what differentiates the different fraud vendors?  

In this webinar, we will discuss the merits of a data-driven approach to fraud detection and prevention, along with how having the right data and the best data are critically important.


Josh Goldfarb
Director of Product Management