Fraud & Risk

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

Eddie Glenn -- iovation

Presentation

Fraud patterns are continually changing as fraudsters use different data points while modifying their purchasing techniques. In this presentation, iovation examines the benefits and drawbacks of using human insight to evaluate risk, including reliance on fraud rules. The focus then shifts 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 conclude the review.

Note that this presentation is also available as a webinar. To view the webinar, click here.

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

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