Virtual Event
Making AI Governance Work: Comparing Frameworks for Real-World Application
Aug 21, 2025
2:00 PM - 3:00 PM ET
Webinar
- Get up to speed on the latest issues, events, and challenges facing the cybersecurity community.
- Hear unbiased insights from IANS Faculty experts who have no hidden agenda.
- Receive actionable advice to accelerate your cybersecurity program.
Justin Leapline
- Get up to speed on the latest issues, events, and challenges facing the cybersecurity community.
- Hear unbiased insights from IANS Faculty experts who have no hidden agenda.
- Receive actionable advice to accelerate your cybersecurity program.
Justin Leapline
80+
Virtual Events Per Year
32
In-Person Events Per Year
20K+
Industry Attendees
Making AI Governance Work: Comparing Frameworks for Real-World Application
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 Justin Leapline 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
