Fraud Leaders' Summit EU November - Agenda

• As APP fraud continues to evolve, what are the most effective ways to stop scams without adding unnecessary friction for genuine customers?
• How can banks use behavioral intelligence and AI to detect manipulation before customers authorise payments?
• What does best-in-class scam prevention look like, and how can collaboration between banks, regulators and technology providers help disrupt organised scam networks and money mule activity?

hosted by Feedzai

• How is fraud evolving from generative AI and deepfakes to autonomous agents that can adapt attacks, bypass controls and scale synthetic identities and mule networks at machine speed?
• If attackers are operating autonomously, how can defensive AI combine identity, behavioural, device and network signals to detect and respond to threats in real time without creating unnecessary friction for genuine customers?
• As AI agents begin opening accounts, initiating payments and transacting on behalf of humans, what new frameworks are needed to verify human and agent identity, establish authority and maintain regulatory accountability?

• What signals does AI analyse in real time to distinguish genuine customers from fraudsters?
• How can financial institutions stop sophisticated fraud without adding unnecessary friction to the customer experience?
• What measurable business outcomes can AI driven fraud prevention deliver across fraud losses, operational efficiency and customer trust?

hosted by Feedzai

• As fraud becomes more sophisticated and interconnected, how should organisations evolve their fraud strategies, teams and operating models?
• What does effective collaboration between fraud, risk, compliance and investigations look like, and how can breaking down organisational silos improve outcomes?
• Which technologies, intelligence and skills will define the next generation of fraud prevention while balancing security with customer experience?

hosted by NICE Actimize

• As AI makes synthetic identities and automated fraud increasingly convincing, why are traditional and single point checks struggling to distinguish genuine customers from sophisticated fraud?
• How can behavioural, device, session, identity and digital footprint signals be connected to expose inconsistencies, hidden relationships and wider fraud networks that individual checks may miss?
• What does mature, multidimensional risk decisioning look like, and how can organisations use deeper intelligence to improve fraud detection without adding unnecessary friction to the customer journey?

hosted by Seon

• See three emerging solutions put under pressure by senior industry judges and your peers. Cut through the marketing and decide which innovation genuinely moves the needle on fraud prevention.
• Walk away with insight into new approaches, fresh thinking and the trends shaping the next wave of fraud technology, as one standout earns recognition and a trophy.