The future isn’t about slowing AI down. It’s about keeping enterprises in control as it speeds up.

AI isn’t just arriving quickly. It’s arriving in ways that outpace the structures enterprises rely on to stay safe and operate responsibly. Over the past year, adoption has surged faster than oversight, faster than understanding, and faster than leaders can form a coherent response.

That imbalance is what first caught my attention. The excitement around AI was real, but so was the discomfort. Something important was happening beneath the surface. Something that demanded a new kind of foundation. That realization is where the story of Lumia begins.

What Leaders Are Experiencing Inside Their Organizations

In hundreds of conversations with CISOs, CIOs, and business leaders, I heard a shared pain: AI wasn’t entering the enterprise through controlled deployments. It was entering through people.

Employees were using AI to write code, summarize documents, generate content, and speed up workflows. Early autonomous agents were already beginning to take action on their behalf,  drafting responses, triggering automations, and moving work forward in ways teams didn’t fully expect.

In some organizations, this shift is already dramatic. Leading technology companies report that 30–50% of their code is now written by AI.

Alongside these conversations, a survey we conducted with Team8 VC of over 120 CISOs from leading global enterprises, revealed the same pattern. 67% of organizations expect to use autonomous AI agents by the end of the year. Yet only 22% are monitoring AI usage today. Adoption is accelerating far faster than oversight.

The concern wasn’t simply that leaders lacked visibility. It was that they couldn’t understand their true risk exposure. They didn’t know what AI interactions were happening, what agents were initiating, or how any of it aligned with organizational risk tolerance. Without clarity, they couldn’t assess risk or take meaningful steps to mitigate it.

This wasn’t a small operational blind spot. It was a strategic one.

The Governance Gap

As the conversations deepened, a pattern became unmistakable: AI wasn’t behaving like traditional software.

It was interpreting, synthesizing, and acting. It blended information from multiple places. It responded to nuance. It carried out tasks based on user intent rather than predefined steps. And that’s where the existing security model started to show its limits.

Leaders were trapped between two untenable options:

• restrict AI outright and slow their organizations down, or
  
• allow AI freely and accept exposure they couldn’t fully quantify.
  

Neither approach worked. Neither reflected the scale or speed of what was unfolding. What leaders needed wasn’t a new restriction. It was a new model of governance.

What the Next Few Years Will Look Like

Looking ahead, I believe enterprises will soon have as many autonomous agents as employees. AI won’t simply assist but participate in workflows. It will generate actions, shape decisions, and accelerate outcomes in ways we’re only beginning to understand.

To operate confidently in that world, organizations won’t just need awareness of AI behavior. They’ll need the ability to evaluate risk, guide decisions, enforce policy, and maintain accountability across increasingly complex AI-driven workflows.

The Lumia Vision

This is where Lumia comes in.

We built Lumia to give organizations a clear, responsible path to adopt AI at scale. One that strengthens control rather than weakens it. At the center of this vision is a belief that governance should accelerate innovation, not stand in its way.

To achieve that, enterprises need to understand the content, context, and intent behind every AI prompt, response, and autonomous action. That understanding isn’t the goal. It’s the starting point. It enables risk assessment. It enables guardrails. It enables enforcement. It enables accountability.

And instead of trying to harden each AI tool separately or block services outright, we govern AI usage across the entire organization, both employee interactions and autonomous agent actions. Governance becomes unified, consistent, and aligned with business risk.

And ultimately, it enables organizations to use AI with confidence rather than hesitation.

Why I Built Lumia

I co-founded Lumia with my partner, Bobi Gilburd, because the enterprise is entering a defining era. One where AI becomes woven into every team, every workflow, and every decision. But transformation at this scale requires a foundation: a way to embrace AI responsibly while maintaining alignment, security, and trust.

Enterprises shouldn’t have to choose between innovation and control.
With the right governance, they can have both.

Lumia exists to make that possible.

Exclusive Webinar with Admiral Mike Rogers

“Admiral Mike Rogers on the New AI Reality: Control, Risk, and Resilience”, January 8, 2025

At 11am EST/ 8am PST. 

Join us as we host Admiral Mike Rogers, former Director of the NSA and Commander of U.S. Cyber Command, to discuss how enterprise leaders can stay in control as AI accelerates.

Register here.