About
Join Worldline's fraud experts for 45 minutes of straight talk on where fraud is really heading, what regulation will demand next and how AI is used in real time to turn the tables.

Fraud today is one of the most organised, profitable and fast-moving industries in the world, and it is outpacing the defences built to stop it. Banks are responding, but too often with siloed data, fragmented tools and decisioning windows that no longer match the speed of modern payments.

Meanwhile, the rules of the game are changing. PSR and PSD3 are redrawing the liability map and raising the bar on what banks must detect, prevent and reimburse. At the same time, AI is reshaping fraud on both sides, powering more convincing attacks, but also enabling real-time defences capable of turning the tide.

This session is designed for leaders and practitioners in fraud, payments and risk strategy across the financial ecosystem, from banks and PSPs to the wider community shaping the future of payment security.
Agenda
  • The Next Generation of Fraud: Where Fraud is Really Heading
  • The Regulation Reset: Navigating PSR, PSD3, and the New Liability Map
  • Real-Time AI in Practice: Implementation, Challenges, and Turning the Tide
  • Q&A: Interactive Strategy Exchange
Presenters
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João Rijo Godinho Courinha
Global Product Manager for Fraud, Worldline Financial Services
João Rijo Courinha is Senior Global Product Manager for Worldline's Fraud Management Solutions, in charge of developing fraud solutions that leverage AI for real-time and near real-time monitoring across issuing, acquiring, and account payments.
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Vincent Sigliano
Public and Regulatory Affairs Director, Worldline
Vincent Sigliano is Public and Regulatory Affairs Director at Worldline, in charge of the EU Payments Package (PSD3/PSR) and the Single Currency Package, including the digital euro.
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Tessa Dzial
Fraud AI Analytics Chapter Lead, Worldline Financial Services
Tessa Dzial is the Fraud AI Analytics Chapter Lead at Worldline Financial Services, responsible for the management of fraud rules and AI models in payment fraud detection.