Artificial intelligence reshaped the financial crime landscape, with fraudsters increasingly using AI-powered tools to carry out sophisticated scams, deepfakes and automated attacks. At the same time, advances in AI-driven detection models, network analytics and intelligence sharing transformed the way the payments and financial services industry approached financial crime prevention. This webinar brought together experts from across fintech, banking, fraud intelligence and compliance to examine how AI had been weaponised by criminals and how organisations responded with smarter, faster and more collaborative defences.
Drawing on real-world case studies and practical examples, the panel explored how organisations had used AI not only to improve operational efficiency but also to detect, prevent and disrupt fraud at scale. The discussion also examined the evolving regulatory landscape and considered the case for a shared liability model, highlighting the roles of banks, payment providers, telecommunications providers, social media platforms and regulators in strengthening the collective response to financial crime.
