Enova Decisions to Host July 18 Webinar on Fraud Detection and Prevention

As we turn the corner into the second half of 2019, one topic is as almost as hot as the weather, at least with financial institutions (FIs), lenders, insurers, and other risk-oriented companies. That topic? How to better detect and prevent rising fraud in online applications. Not surprisingly, most of these institutions have realized that an automated decisioning platform is key to detecting such fraud, especially when dealing with high-volume, sub-second processing of online applications. However, they also have to be aware that systems with hard-coded rules and lacking AI and machine learning carry some significant drawbacks.

To highlight some of the latest trends, potential pitfalls, and effective solutions for detecting and preventing online application fraud, Enova Decisions is hosting an informative free webinar on July 18 at noon Central Time. The webinar, Modernizing Online Application Fraud Detection & Prevention, will be presented by Sean Naismith, GM & Head of Analytics Services at Enova Decisions.

Besides examining the current fraud issues and challenges faced by lenders, insurers, and businesses who offer their services online, Sean will discuss the latest trends in online application fraud, as well as some practical approaches to solving them. As an example of applying these techniques, he’ll then walk through a case study that shows how one online lender CashEuroNet UK successfully addressed such issues using a real-time decisioning engine with flexible rules and machine learning. (CashEuroNet UK consists of Enova’s well-known UK online lending brands QuickQuid, On Stride Financial, and Pounds to Pocket.) And, of course, Sean will answer questions from participants at the end of the webinar.

We hope you’ll join us on July 18 at 12:00 PM CT for Modernizing Online Application Fraud Detection & Prevention.

The webinar is free to register, so head on over to sign up here.

Enova Decisions


Enova Decisions is an analytics and decision management technology company that was formed in 2016 to help organizations make smarter, faster risk decisions about customers and consumers across the risk spectrum through big data, machine learning, and the cloud.