Description:
Artificial Intelligence (AI) is no longer just a buzzword—it’s changing how fraud happens and how organizations detect it. This training introduces professionals to the basics of AI in financial crime, showing practical ways AI is being used both by fraudsters and by compliance teams. Participants will explore real-world examples like deepfakes, synthetic identities, and automated scams, as well as how AI tools can help monitor transactions and flag suspicious activity.
Through this session, you’ll learn how to evaluate AI solutions responsibly, understand their limitations, and adopt strategies that protect your organization without getting lost in the hype. Whether you work at a bank, fintech, or money services business (MSB), this session provides a clear, actionable framework for using AI to prevent fraud effectively.
Who is this Designed for: Fraud, compliance, and operations professionals who want a practical introduction to AI applications in fraud detection and prevention. No advanced technical background is required—just a desire to understand how AI can impact your work.
Agenda:
Understanding AI in Fraud: Simple explanations of how criminals use AI for scams, impersonation, and synthetic identity creation.
Practical Detection Tools: How AI helps teams monitor transactions, spot anomalies, and prevent losses.
Risks and Limitations: Learn the boundaries of AI, common pitfalls, and when human oversight is critical.
Regulatory Overview: Key guidance and upcoming AI regulations that affect compliance programs.
Actionable Takeaways: Tips for integrating AI into fraud programs responsibly and ethically.
By the end of this webinar, you will know how to:
Recognize common AI-powered fraud schemes and emerging threats.
Understand how AI tools can support fraud detection while mitigating risks.
Apply practical strategies to balance AI adoption with compliance and operational needs.
Build a beginner-to-intermediate AI readiness approach for your organization’s fraud program.