Fraud is rapidly scaling into a trillion-dollar global problem, fueled by advances in generative and agentic AI that enable criminals to industrialize scams with unprecedented sophistication. This session highlights how technologies like deepfakes, voice cloning, and synthetic identities are making fraud harder to detect—shifting the challenge from simple rule-based detection to an AI-driven arms race. As a result, fraud analysts must evolve beyond traditional workflows, developing stronger skills in analytics, investigation, and critical decision-making to keep pace with increasingly complex threats. Ultimately, success depends not just on technology, but on continuous training, upskilling, and a coordinated enterprise-wide approach to fraud risk management.
Presenter: Kimberly Darpel, ACAMS
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