What’s up, fraud fighters, and welcome to Fraud Forward.

I recorded this live from Safeguard’s AI Deep Dive Retreat at The Broadmoor in Colorado Springs, and y’all, let me tell you something: this was not just another room full of AI buzzwords. This was fraud leaders, payment experts, financial institution professionals, fintech voices, marketplace operators, and risk leaders all sitting in the same place asking one very real question.

What happens to fraud prevention when artificial intelligence changes everything?

The future of AI fraud is not some far-off thing we are all fixin’ to deal with later. It is already here. We are seeing AI change the speed, scale, and complexity of fraud operations right now. We are seeing it show up in synthetic identity fraud, AI scams, AI identity verification, agentic AI fraud, fraud detection automation, governance conversations, and the pressure fraud teams are already carrying every single day.

But this episode is not about panic.

It is about realism.

It is about what fraud fighters are seeing, what institutions are building, where the gaps still are, and how we keep humans at the center while fraud keeps accelerating around us.

• A practical conversation about the future of AI fraud and what it means for fraud operations
• How AI fraud prevention is changing across banking, credit unions, fintech, payments, marketplaces, and risk teams
• Why synthetic identity fraud, AI scams, and identity fraud prevention are becoming major areas of concern
• How AI in fraud prevention can help investigators analyze data, identify patterns, and reduce noise
• Why AI governance in fraud prevention cannot be treated as something we clean up later
• How agentic AI fraud, know your agent, and KYA fraud prevention are becoming part of the next conversation
• Why human-in-the-loop fraud detection still matters, even when fraud analyst AI tools are getting better
• How fraud fighters and AI can work together without replacing the people who know this work best
• A reminder that responsible AI risk management has to include governance, empathy, collaboration, and practical controls

• Financial institution leaders and fraud professionals
• Risk, compliance, and cybersecurity teams
• Fraud operations teams and investigators
• Credit union and community bank leaders
• Banking fraud prevention teams
• Credit union fraud prevention teams
• Fintech, payments, and marketplace risk teams
• BSA, AML, KYC, and identity teams
• Regulators and policy advisors
• Industry advocates and victim support professionals
• Media professionals covering scams, fraud, AI, and financial crime
• Anyone trying to understand how AI-driven fraud affects real people, real institutions, and real fraud teams

This conversation is for the fraud fighters who are not just trying to check a compliance box. It is for the teams trying to protect members, customers, and communities while also figuring out how to use AI-powered fraud prevention without creating new risk.