3-day Virtual Seminar

AI in Finance: How to Combat Fraud and Comply with New Regulations in 2026

Overview

This session covers AI's frontline role in tackling US-specific fraud and 2026 compliance shifts, with detailed explanations of detection methods, regulatory overviews, and implementation examples from banking leaders, providing a solid foundation for applying these concepts in accounting or risk functions.

Why you should Attend

You'll get a clear breakdown of AI's practical edge in fraud fighting and regulatory navigation, arming you with knowledge of tools and workflows that directly apply to finance jobs, enhancing your ability to discuss defenses in interviews or contribute to team strategies right away.

As fraudsters leverage AI to bypass old defenses, causing massive fines and breaches reported at over $2 billion yearly for non-compliant firms, teams without modern tools risk regulatory crackdowns, operational halts, and career setbacks, especially with 2026 mandates demanding instant responses in an environment where delays spell disaster.

Areas Covered in the Session

• Fraud ecosystem and regs: Key US threats and 2026 FinCEN/SEC automated reporting expectations
  
• AI detection basics: Anomaly, network, and behavior-based fraud signals in transactions
  
• Setup and operations: Data prep, model deployment in core systems, and audit-ready compliance logs
  
• Proven applications: Real-world wins, loss reduction metrics, and automated filing workflows
  
• Forward outlook: GenAI-driven risks, tool vetting, and staying ahead of regulatory shifts

Who Will Benefit

• All