Rules, Machine Learning, and the Best Way to Fight Fraud

For many years, rules-based systems were the preferred method of fraud fighting, but as fraudsters have become more sophisticated, an increasing number of businesses have turned to machine learning. This webinar will walk through the differences between rules and machine learning systems and discuss the pros and cons of both with insights from Paul Curwen, Risk Director at Omise.

In this webinar, you will learn:

  • The pros and cons of rules and machine learning systems for fraud prevention
  • The benefits of switching from a rules to a machine learning system
  • How to seamlessly switch to machine learning - even if you have a long-standing rules system in place

Thank you. Check your email for further details on this webinar.

Kevin Lee | Trust & Safety Architect, Sift Science

Paul Curwen | Risk Director, Omise