AI-powered tools are becoming increasingly embedded in the fight against financial crime. From transaction monitoring to sanctions screening and fraud detection, the use of machine learning and generative AI is helping financial services organizations improve efficiency. It’s also attracting heightened regulatory attention.
This webinar explores how financial services organizations can meet emerging AI governance expectations and develop defensible validation protocols that support risk and compliance functions. Crowe specialists examine audit frameworks, regulatory benchmarks, and technical practices shaping the next generation of AI validation. They also take an in-depth look at how the National Institute of Standards and Technology’s AI Risk Management Framework (AI RMF 1.0), the International Organization for Standardization (ISO) and International Electrotechnical Commission (IEC) 42001 standard, and ISACA’s Artificial Intelligence Audit Toolkit can guide organizations in establishing robust internal validation approaches.
Additionally, presenters walk through two financial crime scenarios that often challenge traditional validation strategies: anomaly detection models in transaction monitoring and generative AI applications for alert summarization.
After viewing this session, you should be able to:
Note: Only attendees of the live webinar are eligible for CPE or CLE credit for qualifying webinars. If you view the webinar recording on this page you may not be eligible for CPE or CLE. For questions about CPE, contact [email protected].