Validating Digital Asset Financial Crime Detection Models

Financial services organizations are navigating a rapidly evolving digital asset environment while managing regulatory expectations for financial crime compliance. Traditional compliance programs remain foundational, but digital asset activity introduces additional considerations related to blockchain data, wallet attribution, transaction transparency, sanctions screening, and evolving illicit finance typologies.

In this webinar, Crowe specialists discuss how financial crime compliance programs and model validation practices can adapt to these emerging challenges. Viewers explore how established compliance controls and model validation concepts apply to digital asset-related activities and where additional capabilities, including blockchain analytics, can strengthen risk management.

After watching this webinar recording, you should be able to:

• Describe the key characteristics of digital assets that create unique financial crime compliance risks
• Explain how traditional financial crime compliance activities apply to organizations that offer or support digital asset products and services
• Identify new and enhanced controls, including blockchain analytics capabilities, that help detect, monitor, and manage digital asset-related financial crime risks
• Recognize how traditional model validation principles apply to models used in digital asset environments
• Evaluate how model validation approaches should be adapted for models that monitor digital asset activity
• Assess key validation considerations, including blockchain data quality, typology coverage, threshold tuning, model explainability, vendor reliance, and change management

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].

Additional CPE information