As AI adoption accelerates, organizations are under growing pressure to implement effective governance aligned with emerging regulations and practical frameworks. In this webinar, IANS Faculty demystifies leading AI governance frameworks and helps you understand how to apply them to real-world use cases. The session focuses primarily on actionable, current resources like the CSA AI Controls Matrix, NIST AI Risk Management Framework and ISO 42001, offering a comparative look at their strengths, overlaps and limitations. Whether you're building your AI governance program from the ground up or refining an existing one, this session equips you with the knowledge and next steps to move forward confidently, providing:
A clear, side-by-side comparison of major frameworks—CSA’s AI Controls Matrix, NIST AI RMF, ISO 42001—and guidance on selecting the right fit for your organization’s goals and risk profile
Actionable insights and best practices—including how to structure an AI governance committee, ensure policy specificity and operationalize AI controls with audit-readiness in mind
Awareness of common gaps and pitfalls—so you can avoid missteps and build a governance approach that is resilient, scalable and aligned with upcoming regulatory expectations