AI Model Risk Management in AML: What Every CRO Needs to Know in 2026

About the Event

As machine learning–based detection and generative AI–driven reasoning are adopted in AML and sanctions compliance, regulators are raising expectations for model risk governance.From SR 11-7 to the EU AI Act, validation standards are no longer a technical checklist, they’re becoming a board-level priority.

In this exclusive webinar, leading regulatory and model-risk experts break down what CROs must know to prepare for 2026 and how to turn AML models into real risk intelligence.

What regulators are now asking for that they weren’t five years ago

How to validate AML and sanctions models under SR 11-7, PRA SS1/23, and the AI Act.

Practical validation steps for transaction monitoring, sanctions screening, and customer risk rating

How to govern AI/ML and GenAI tools entering the AML lifecycle

What a minimum viable validation program looks like for 2026

“ThetaRay is certainly enabling our growth. In a year’s time, we’ll be doing 10x the volumes that we’re doing today.”

Justin Pascoal-Reynolds
Program Director, Clear.Bank

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Speakers

David Shapiro

Regulatory Affairs Manager

Oscar Enriquez

Director, Model Risk Advisory Services

LP - 2026-01-11T233343.318

Our customers

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Reserve Your Spot
Stay ahead of the rapidly shifting regulatory landscape. Get practical, board-ready guidance on how to validate AI-driven AML models in 2026—and protect your institution from regulatory, operational, and reputational risk.

ThetaRay’s Cognitive AI Financial Crime Compliance enables financial institutions to effectively and efficiently identify risk while flagging bad actors.

Our SaaS solutions include Transaction Monitoring, Customer and Transaction Screening and dynamic Customer Risk Assessment.

Our Cognitive AI empowers you to thrive while ensuring financial crime is detected with unmatched accuracy.