Seeing the Scam. Stopping the Scam. Behavioral Detection, Decisioning, and Real-World Interventions

Watch 5 practitioners from acquiring, banking, behavioral analytics, and risk intelligence debate real scam cases in real time, vote on whether to allow or block each payment, and reveal what actually happened.

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WHAT YOU'LL LEARN:

• How financial institutions use friction, step-up questioning, and teller engagement to catch scams that pass standard authentication
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• Why automated customer outreach and benchmarking customer explanations against population norms exposes inconsistencies that manual review misses
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• What receive-side data from Zelle reveals about suspect beneficiaries, and why that signal reduced fraud rates by nearly 50%
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• How behavioral biometrics detect hesitation, distraction, and guided sessions during online banking transactions
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• Why scam merchants that pass surface-level review fall apart under agentic AI analysis of their full digital footprint, including complaint boards, review sites, and web traffic patterns
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• Where information sharing between institutions is stalling, and what the Faster Payments Council's Scam Classifier Model offers as a starting framework

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The session covers seven real-world scenarios across wires, Zelle, in-branch withdrawals, and merchant onboarding. Each one tests what you would do with the data available, then reveals the outcome and the signals that made the difference.

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Additional speakers: 

Lee Kyriacou, Partner @PayGility Advisors
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Peter Tapling, Payments Strategist & Advisor

Uri Rivner, Co-Founder & CEO @Refine Intelligence

Amanda Balmer, Director, Financial Crimes Risk Management @PSECU

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