Artificial Intelligence is reshaping suspicious activity monitoring, from transaction surveillance and alert generation to case management, escalation, and SAR decisioning. But while AI can improve efficiency and detection, it also introduces new risks involving data quality, explainability, model governance, false positives, missed activity, vendor oversight, and examiner expectations. Join veteran regulatory expert Christopher Price, a former federal bank examiner and compliance leader with more than 30 years of experience, for a practical and highly accessible session on how AI is changing suspicious activity monitoring and what financial institutions should be doing now to manage the risks.

What We Will Cover:
• What regulators mean when they refer to AI, machine learning, and automated monitoring tools
• How AI may affect transaction monitoring, alert scoring, case prioritization, and SAR investigations
• Key governance expectations, including validation, explainability, documentation, and human oversight
• The risks of overreliance on AI, including missed suspicious activity and weak escalation practices
• Vendor management concerns when AI-enabled monitoring tools are provided by third parties
• How auditors and examiners may evaluate AI use in suspicious activity monitoring
• Practical steps institutions can take to update policies, procedures, controls, and reporting processes

Who Should Attend:
Whether you are a BSA Officer, Compliance Manager, AML Investigator, Auditor, Risk Manager, or Operations professional, this session will provide a clear, practical framework for understanding how AI affects suspicious activity monitoring and how to prepare for evolving regulatory expectations.

AirDate: September 3, 2026 @ 2pm EST