About
Generative AI hasn't just made fraud easier: it has made it highly repeatable at scale. Attacks that once required coordination, skill, and resources now run continuously, adapt in real time, and arrive at a volume that static defenses weren't built to absorb.

For payments and commerce platforms, pressure lands on both sides: tighten controls and risk killing conversion, or loosen them and the losses follow.

In this session, we'll dig into what's actually shifting across the threat landscape and what it means for the teams responsible for stopping it.
When
Tuesday, July 21, 2026 · 5:00 p.m. Bucharest (GMT +3:00)
Agenda
  • Where AI-powered identity attacks are succeeding and why traditional defenses are struggling to keep pace
  • How high-velocity platforms are rethinking fraud controls without sacrificing conversion
  • What layered identity intelligence and continuous trust models look like in practice
  • Why adaptability and explainability are becoming non-negotiable in the AI era
Presenters
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Matteo Gamba
Independent Advisor - Payments & Fraud
Fintech and payments leader with 15+ years of experience scaling global products across e-commerce and financial technology. For over 9 years, he led Payments & Fraud at Wayfair, overseeing a $14B+ business and driving over $100M in annual bottom-line impact. He previously held product roles at Wise and Berlin-based startups. A frequent speaker and advisor, Matteo is recognized as a leading expert in payments orchestration, tokenization, agentic commerce, fraud prevention, and high-growth fintech strategies.
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Travis Dawson
VP Product & Business, Complex
With over a decade of experience in senior leadership roles, I bring expertise in identity, payments, risk management, and artificial intelligence. My mission is to optimize operational efficiency and contribute to impactful business outcomes, ensuring a seamless experience for customers and stakeholders.
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Vincenzo D'Elia
Director of Engineering & ML at Microblink
Vincenzo leads teams at Microblink working on machine learning, biometrics, and fraud prevention, focused on building trustworthy AI systems that perform reliably in the real world. His background includes leading Data Science at ZOE, Document Verification at Onfido, and advertising products at Criteo, with earlier work on large-scale ML systems at Amadeus. Across healthcare, identity, advertising, and travel, he's focused on applying engineering and data science to scale decision-making and deliver measurable impact.
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Samantha Boo
Global Head of Account Management, Microblink [Moderator]
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