Fraud Leaders' Summit San Diego November - Agenda

• Fraud has become an organised business. How are criminal networks coordinating scams across identities, accounts and institutions?
• What behaviours and network signals help distinguish isolated fraud from coordinated criminal activity?
• What more needs to happen across the industry to dismantle fraud rings rather than simply stop individual attacks?

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• How are criminals using AI, social engineering, stolen credentials and compromised devices to take over legitimate accounts while continuing to appear like trusted customers?
• Why are traditional authentication and step up controls struggling to stop modern ATO attacks when fraudsters can exploit valid credentials, trusted devices and account recovery journeys?
• How can behavioural, device and identity intelligence expose the signals of account takeover earlier, stopping fraud before money moves while minimising friction for genuine customers?

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Attendees Peer-to-Peer Roundtable Discussions

Bringing together senior female leaders from across retail, marketplaces, gaming, travel, and health; alongside BFSI professionals to share insights, discuss emerging trends, and foster meaningful connections. This exclusive gathering celebrates the achievements of women in fraud, encourages knowledge-sharing, and supports mentorship and networking opportunities to inspire the next generation of leaders in the industry.

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• AI generated voices are becoming almost impossible to distinguish from genuine customers. What does this mean for trust in the contact center?
• Why are traditional authentication methods no longer enough to protect organizations from modern voice fraud?
• What must organizations do today to prepare for a future where every interaction could be synthetic?

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• How is generative AI reshaping document fraud, and where are traditional fraud controls already failing?
• As AI-generated and template-based fraud accelerate, where should organizations focus their defences?
• What signals and AI-powered detection methods are proving most effective against synthetic documents and identities?

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• Customers expect seamless digital experiences, but how can organizations strengthen security without adding more authentication?
• Which passive signals are proving most effective at identifying genuine customers without disrupting the user journey?
• What does the future of invisible fraud prevention look like as customer expectations continue to rise?

• Why are fraud teams struggling to keep pace with growing investigation volumes, and why is simply adding more analysts no longer enough?
• A live demonstration showing how AI can investigate fraud cases, surface evidence and support analyst decision making in real time.
• A customer case study demonstrating how AI has reduced investigation times, improved analyst productivity and accelerated fraud response.

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