In the fast-evolving fraud prevention landscape, knowing when to use rule-based systems versus machine learning is critical. This webinar is designed for fraud prevention professionals who want to enhance their strategies by understanding the strengths of both approaches and how they can work together for maximum impact.
Whether you’re new to these concepts or looking to refine your skills, this session will provide actionable insights and practical tools to help you stay ahead of emerging fraud tactics.
In this 60-minute session, we’ll cover:
– When to use rule-based systems vs. machine learning: Understand the strengths of each approach and when to apply them.
– Adding new features: Learn how to identify and implement new factors to improve fraud detection.
– Quality control: Get practical tips on monitoring and refining rules for ongoing effectiveness.
– Automation: Discover how to automate the integration of new rules to keep your defenses agile and up-to-date.
– Case studies: Explore real-world examples of companies successfully using rule-based systems and machine learning.
Speakers:
– Peter Taylor, Fraud & Cybercrime Consultant
– Ivan Prokofev, Podcast Host, Fraud Expert ex-Bumble | Booking
– Arturs Linde, Head of Fraud Prevention at Paybis
– Eugeny Malyutin, Senior Machine Learning Engineer at Sumsub
Moderator:
– Alaa Hussaini, Transaction Monitoring Pre-Sales Manager at Sumsub
All participants joining us online will receive a certificate of attendance. Register now to secure your spot!
