Webinar

Fraud Prevention Strategies: Combining Rule-Based Systems and AI

  • Peter Taylor

    Peter Taylor

    Fraud Consultant

    Peter Taylor is a fraud expert with over 30 years of experience protecting financial institutions and businesses across the UK and beyond. He began his career with Greater Manchester Police's CID unit before pioneering the first national fraud investigation firm in the financial services sector. Later, he became Head of Fraud for leading loss adjusters, enhancing his reputation further. In 2012, Peter founded his consultancy, offering fraud reviews, training, and investigations across industries. He also researches emerging fraud and cybercrime trends, interviewing former fraudsters, with his insights featured on BBC’s Fraud Squad and other media platforms.

  • Eugeny Malyutin

    Eugeny Malyutin

    Senior Machine Learning Engineer at Sumsub

  • Ivan Prokofev

    Ivan Prokofev

    Podcast Host, Fraud Expert ex-Bumble | Booking

    Ivan is the Host of the Podcast: "A Journey Into Fraud Prevention" and Payment Fraud Expert. He has over 12 years of experience in the fraud prevention domain, having worked across different domains at Tinkoff Bank, ForexClub (aka LibertEx), Gett, Booking.com and Bumble. During his career, he worked with a variety of solutions external and internal.

  • Arturs Linde

    Arturs Linde

    Head of Fraud Prevention at Paybis

    Arturs Linde is the Head of Fraud Prevention at Paybis, a global cryptocurrency exchange platform. With over five years of experience, he focuses on developing and implementing strategies to protect both the business and its customers from fraud. He leverages advanced technologies, including AI, to stay ahead of fraudsters while ensuring systems align with the company’s overall objectives.

  • Date

    29 October

  • Time

    3 p.m. CET

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 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

All participants joining us online will receive a certificate of attendance. Register now to secure your spot!

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