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DEFEND WEBINAR | Fraud & AML Executive Insights for 2026
Length: 60 minutes
DataVisor’s latest Executive Fraud & AML Report captures how senior leaders across banks, credit unions, and high-growth fintechs are rethinking fraud, AML, and payments for 2026.
DataVisor CEO Yinglian Xie with leaders from Synchrony, Affirm, and Datos Insights in an insight-driven webinar unpacking five key findings from the report, and what they mean for modern detection, operations, and measurement.
In this session, you’ll learn how leading institutions are:
- Responding to AI-Driven Fraud
Where executives see the biggest emerging threats—and why data and label readiness now define defensive advantage. - Unifying Fraud + AML for Speed and Scale
How teams are eliminating fragmentation and agility debt to unify fraud and AML on a single, flexible platform. - Building for Real-Time and Real Results
What it takes to operate in instant payment environments and move beyond fraud rate with modern success scorecards.
Meet the Speakers
Brian Hughes
Brian is a highly accomplished board member, senior executive, and advisor with 30+ years of experience in financial services and consulting. Brian is currently a Board Director for Affirm, a Senior Advisor for the Boston Consulting Group, and a Limited Partner and Advisor for Nyca Partners.
Ted Josephson
Ted is a 30+ year financial services veteran, with extensive experience in managing the strategic, business and tactical operational aspects of the digital channels, money movement, deposit products & card payments for $40+ billion organizations - including online, mobile, ATM/debit and multi-state contact centers.
David Barnhardt
David has over 22 years of fraud mitigation in banking and payments. Throughout his career, he has served as the Emerging Risk Executive at Bank of America, Payments Product Line Head at Early Warning, Chief Experience Officer at Giact, and Head of Fraud at Conduent.
Yinglian Xie
Yinglian Xie is CEO and Co-Founder of DataVisor. A highly-regarded researcher, author, and fraud expert, she is widely regarded as one of the most influential figures in the areas of artificial intelligence, machine learning, and big data security.