Fraud & Risk

Two Heads Are Better Than One: How AI and HUMINT Converge to Battle Today's Sophisticated Online Fraudster

Eddie Glenn -- iovation


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Fraud patterns are constantly evolving as fraudsters use different data points while varying their purchasing techniques. In this webinar, iovation examines the benefits and drawbacks of using human insight to evaluate risk, including reliance on fraud rules. The focus then moves to machine learning, with an emphasis on the combinations of attributes machine learning can evaluate, how risk ratios are computed, and the pros and cons of machine learning models. Good use cases for predictive insights are also discussed, with a Q&A period concluding the broadcast.

Slides from this webinar are available here.