AI is Here. But Your Data Governance is Nowhere to be Found

Enterprise AI is moving faster than the controls designed to govern it. 

Copilots, AI agents, and generative AI platforms are rapidly becoming embedded across the enterprise. Yet most organizations are deploying these technologies on top of data estates that were never inventoried, classified or scoped for this level of access. 

The governance frameworks, policies and tooling that shaped the last decade of data management were built for a fundamentally different world - one where humans consumed data, not autonomous systems acting on it.  

The result? Security, governance and data leaders are being asked to redesign governance in real time with AI is already in production.

According to Gartner, 60% of enterprise AI projects will be abandoned through 2026 because the underlying data is not AI-ready.

The questions is no longer whether your organization will adopt AI. The question is whether your data governance strategy can keep up.

This private, peer-led discussion brings together a select group of CISOs, Chief Data Officers, Data Governance Leaders, Security Architects and Risk Executives to explore how data governance is evolving in the age of AI.

Together, we'll discuss what's working, what's broken and what the next generation of governance must look like to support AI safely at scale. 

Discussion Topics

1. Is Your Organization Truly Ready for AI at Scale?

As AI becomes embedded across business processes, how are you evaluating whether your data, governance and security programs are prepared to support it?

2. Do You Have Visibility Into What AI Can Access Today?

Can your team confidently answer:

• Which AI applications and agents have access to enterprise data?
• What permissions do they have?
• What actions can they perform?
• What sensitive data sits in their path?

3. Has AI Changes the Way You Think About Data Risk?

As AI systems begin accessing and acting on enterprise information at machine speed, what new categories of risk concern you most?

How are you adapting governance and security programs to address them?

4. How Are You Enabling AI Without Creating Unacceptable Risk?

What governance controls and guardrails are proving effective? 

Where are you finding yourself forced to balance innovation, productivity and security?

5. What Does Being "AI-Ready" Actually Mean?

What does an AI-ready data estate look like in practice?

How are you maintaining an accurate understanding of:

• Sensitive data
• Accessing permissions
• Data ownership
• Exposure paths
• AI-enabled access

Request an Invitation Below

AI adoption is accelerating faster than most governance programs can adapt. Join a focused discussion with peers who are navigating the same challenges and shaping what data governance looks like in the AI era.