The AI & Data Security Collective Is the Kind of Movement the Market Needs

On March 10, 2026, I had the opportunity to attend the launch of the AI & Data Security Collective at Nasdaq in New York. What stood out most was not just the venue or the milestone itself, but the quality of the conversation in the room. With over 20 Collective members in attendance, it felt less like an event and more like the beginning of a serious, practical movement around one of the biggest enterprise challenges of this moment: how to adopt AI safely without slowing the business down. 

And that is why this matters.

AI is no longer a future-state conversation. It is already reshaping how work gets done, how data moves, how decisions are made, and how quickly risk can spread across an organization. The gap many enterprises are now facing is not whether to embrace AI, but how to do it in a way that is responsible, scalable, and aligned across teams. Recent industry reporting points to a growing divide between organizations rapidly operationalizing AI and those still struggling to put the right guardrails in place, with sensitive corporate data increasingly present in AI interactions. 

That is exactly why a group like the AI & Data Security Collective feels so timely.

What I find most compelling about this non-vendor community is the fact that it is designed for practical, experience-driven learning among security leaders. That matters because the challenge in front of us is bigger than any one company, product, or category. No single technology, team, or function will solve safe AI adoption on its own.

If enterprises are going to get this right, it will require AI leaders, data leaders, and security leaders to work together more intentionally than ever before.

AI teams understand what the business is trying to unlock.
Data teams understand what is valuable, sensitive, and business-critical.
Security teams understand how to create governance and control without becoming the department of “no.” 

Bringing those disciplines together to shape an AI and Data Security Framework is one of the most practical things the market can do right now.

And importantly, this kind of framework should not exist to slow innovation. It should exist to enable it.

The best frameworks are not theoretical. They help teams answer real questions, such as:

• What data can be used with AI tools?
• What should never leave the enterprise?
• What level of visibility and lineage is needed to understand how data is being reused or transformed?
• How should organizations think about human use, agentic use, third-party AI tools, and internal AI models?
• What guardrails are needed to let the business move fast without introducing unacceptable risk?

These are not just security questions. They are operating model questions. They are business enablement questions. And they are increasingly board-level questions.

That is what made the launch at Nasdaq feel meaningful to me. It brought together people who understand that AI adoption and AI security cannot be treated as separate conversations. The future belongs to organizations that can do both at the same time: embrace AI aggressively and govern it intelligently. And the security leaders who always prevailed are the ones who enable their organizations. 

The market needs more spaces where leaders can compare notes, pressure-test ideas, and build practical guidance together. Not abstract theory. Not fear-based messaging. Real frameworks. Real lessons. Real collaboration.

That is why I believe the AI & Data Security Collective has the potential to become something important.

It is a chance to help define what good looks like before every organization is forced to learn the hard way. It is a chance to bring together people who are not waiting on the sidelines, but who want to actively shape how businesses adopt AI safely and effectively. And it is a chance to create a community around a shared truth: AI will move faster when trust, governance, and data security move with it.

My biggest takeaway from the launch is simple: this is a much-needed movement.

If you are a leader working across AI, data, security, governance, or risk, this is the kind of community worth paying attention to. Join to learn. Join to share. Join to help shape the framework enterprises will need to support and enable AI in the real world.

Because the organizations that lead in the next era will not be the ones that avoid AI.
They will be the ones that learn how to adopt it safely, confidently, and at scale.

As a good friend of mine, Renee Guttman once said: It’s only when you listen that you learn! Want to be part of a working group of world class Security, Data and AI leaders? Join the Collective now