This week, Lumia was named a 2026 Gartner® Cool Vendor™ in Coolest Vendor Innovations in Securing AI.
For our team, this is a meaningful milestone. We came out of stealth less than a year ago with a belief that securing AI would require a fundamentally different approach.
AI wasn’t going to remain another application employees occasionally used. It was going to become embedded in how work gets done across the enterprise. Every business function would use it differently. And increasingly, AI wouldn’t just answer questions. Autonomous agents would take actions on behalf of people and businesses.
That meant organizations would need to understand how AI was actually being used and apply controls based on the context of each interaction and action.
What has surprised me isn’t that this shift happened. It’s how quickly it happened.
AI is becoming part of how work gets done
In a remarkably short period, enterprise AI has expanded across copilots, coding assistants, native applications, purpose-built AI tools and autonomous agents.
The ways people and agents interact with AI are multiplying just as quickly. Employees may use AI across different environments and accounts. Agents can increasingly interact with tools, systems and other agents without a person sitting between every step.
This is exactly why we built Lumia around understanding how AI is being used, regardless of the application, model or environment.
What matters is the interaction itself: who or what is interacting with AI, what information is involved, what they are trying to accomplish and, increasingly, what action an agent is attempting to take.
As AI becomes embedded in more of the enterprise, that context becomes essential to meaningful governance.
Every business will need to define its own boundaries
There won’t be one universal definition of acceptable AI use.
A law firm may allow its lawyers to use an approved AI platform for research and drafting while prohibiting them from asking AI for legal advice. A financial institution may need specific controls around advisor communications or customer information. An engineering organization may want developers to use AI extensively while setting boundaries around credentials, source code or particular actions.
As autonomous agents become more capable, those decisions become even more contextual. An agent might be allowed to access information but not share it externally. It might be able to recommend an action but require human approval before executing it.
These aren’t decisions a security team should make for every part of the business.
The business already knows its requirements. Security’s opportunity is to make those requirements enforceable.
Security can become the enabler of enterprise AI
I believe this is one of the biggest opportunities AI creates for security.
Every business unit wants to move faster with AI. Security has the opportunity to provide the foundation that allows the organization to do exactly that, with confidence.
That requires a different model.
Security can own the platform and the underlying governance framework while enabling teams across the enterprise to define policies based on their own requirements. Legal can establish the boundaries that matter to Legal. Engineering can establish the ones that matter to Engineering. Finance can do the same.
Those policies can then follow AI usage across employees and autonomous agents, wherever and however they interact with AI.
This is bigger than preventing sensitive information from reaching an AI model. It is about giving an organization a way to decide how it wants AI to operate within its business.
Ultimately, success means enabling the organization to use more AI, in more ways, with confidence.
What we set out to build
That belief is at the heart of Lumia.
We built Lumia to deeply understand AI interactions and agent actions across the enterprise, and to turn that understanding into controls that reflect the organization itself.
Our Protocol Analysis Engine analyzes the content, context and intent of AI interactions and agent actions. Our Topic Engine allows organizations to define policies around the business-specific subjects and activities that matter to them. Those policies can then be enforced in real time through the response that makes sense for the situation.
Our vision is an enterprise AI control platform, owned by security and built to serve the business.
Being named a 2026 Gartner Cool Vendor in Coolest Vendor Innovations in Securing AI is an exciting recognition of Lumia at this moment in our journey.
We believe the future of enterprise AI will be defined not just by what AI can do, but by how confidently organizations can put it to work. That’s the future we’re building for.
