Ask-An-Expert Call Summary
Agentic AI

Adopting AI Risk Frameworks in Financial Services

IANS

How do you scale AI adoption without introducing unmanaged risk or regulatory exposure?

Financial institutions are under pressure to operationalize AI while maintaining strict governance, transparency, and compliance. Many organizations are struggling to turn broad frameworks into scalable risk models that keep pace with evolving AI use cases.

Take a look at the practical guidance one financial institution received when it asked IANS how to operationalize AI risk frameworks that align with business goals and regulatory expectations.

Discover:

  • How to build a layered AI risk framework using standards like NIST AI RMF, ISO 42001, and SR 11-7
  • Strategies to classify AI use cases, establish governance, and improve transparency through tools like an AI registry
  • How to manage identities, access, and permissions to reduce risk and prevent privilege escalation

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