Governing Generative AI at Scale: From Model Risk to Systemic Control
About this episode
This episode reframes AI governance as a system-design problem and discusses control-plane patterns for managing risk and compliance in large-scale AI deployments.
Many organizations treat GenAI governance as a documentation or compliance exercise. This podcast episode reframes AI governance as a system-design problem and presents control-plane patterns for managing risk, accountability, and compliance across large-scale AI deployments. Speakers: Varun Raj, Associate Partner, Kyndryl Tatyana Sanchez, Senior Content Coordinator, RSAC Kacy Zurkus, Director, Content, RSAC
People in this episode
Guests: Varun Raj, Tatyana Sanchez, Kacy Zurkus
Topics covered
- Generative AI
- AI governance
- risk management
- system design
- compliance
- large-scale AI
Keywords
- Generative AI
- governance
- risk
- accountability
- compliance
- system design
- AI deployments
Mentioned in this episode
Organizations: Kyndryl, RSAC
More episodes of RSAC
- Privacy and Compliance Challenges with AI
- Cyber at the Top: Innovation Meets Security: The CISO’s Role in Shaping the Future of Cyber
- Cyber at the Top: The Need for Speed: How High-Performance Computing Is Reshaping Cybersecurity
- Cyber at the Top: Shadow AI: The Hidden Threat Inside Your Organization
- Cyber at the Top: Cyber Resilience in Action: Lessons from a CISO
- AI Is Here. Deepfakes Are Real. Trust Is Not Automatic Anymore.
Explore listener stats, chart rankings, contacts and more on the RSAC podcast page.