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How AI Is Forcing Model Risk Beyond the Compliance Mindset
Generative and agentic AI are forcing organisations to rethink many of the assumptions underpinning traditional model risk management. Joe Breeden, President of the Model Risk Managers International Association, argues that model risk management should no longer be viewed simply as a regulatory requirement, but as a critical mechanism for protecting the value generated by AI investments. As AI capabilities become more autonomous and complex, financial institutions must adapt governance, validation and monitoring approaches to manage emerging risks while maintaining accountability, resilience and trust across the organisation.
Sep 25, 2026

Joe Breeden, Founder and Chief Executive, Citi
Tags:
Model risk
AI and Technology (including Fintech)
The views and opinions expressed in this content are those of the thought leader as an individual and are not attributed to CeFPro or any other organization
- Why AI is changing model risk management
- Moving beyond compliance-focused frameworks
- New governance challenges for generative AI
- Validating increasingly complex models
- Protecting AI investment through effective oversight
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