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. What you’ll hear in this episode:A practical conversation about the future of AI fraud and what it means for fraud operationsHow AI fraud prevention is changing across banking, credit unions, fintech, payments, marketplaces, and risk teamsWhy synthetic identity fraud, AI scams, and identity fraud prevention are becoming major areas of concernHow AI in fraud prevention can help investigators analyze data, identify patterns, and reduce noiseWhy AI governance in fraud prevention cannot be treated as something we clean up laterHow agentic AI fraud, know your agent, and KYA fraud prevention are becoming part of the next conversationWhy human-in-the-loop fraud detection still matters, even when fraud analyst AI tools are getting betterHow fraud fighters and AI can work together without replacing the people who know this work bestA reminder that responsible AI risk management has to include governance, empathy, collaboration, and practical controls Who should listen:Financial institution leaders and fraud professionalsRisk, compliance, and cybersecurity teamsFraud operations teams and investigatorsCredit union and community bank leadersBanking fraud prevention teamsCredit union fraud prevention teamsFintech, payments, and marketplace risk teamsBSA, AML, KYC, and identity teamsRegulators and policy advisorsIndustry advocates and victim support professionalsMedia professionals covering scams, fraud, AI, and financial crimeAnyone 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.