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September 29, 2026

Introducing Omnissa Elara

  • Last updated 09/29/2026
  • View Author Bio
    Brian Link
    Product CTO (Americas) and Head of Platform (AI, Data, Automation)

    Brian Link is Product CTO (Americas) and Head of Platform (AI, Data, Automation) at Omnissa, where he helps shape product strategy and enables global enterprises to realize the full potential of modern management across security, AI-driven automation, and digital employee experience.

    With prior executive IT and product leadership roles at Nike, Capital One, VMware, and Microsoft, Brian has a proven track record of guiding enterprise technology strategy, scaling EUC platforms, and delivering measurable business outcomes at global scale.

    A tech enthusiast, investor, and accomplished musician, Brian thrives at the intersection of creativity and strategy, whether building high-performing technology teams, designing next-generation platform experiences, or creating art that resonates with audiences around the world.

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I’m really not very good at keeping secrets but admittedly I’ve been keeping this one for quite some time.

Today, at Omnissa ONE, we introduced Omnissa Elara, a new product family and our unified authority layer for the agentic enterprise. 

And it feels pretty incredible to finally 'say' that out loud.

Last week, I shared my thoughts about the new shape of enterprise work and this new hybrid world that we live in. The digital workforce is no longer made up only of people. AI has made that abundantly clear.

This shift creates enormous potential while also raising some difficult questions. AI is already spreading across the enterprise; agents are beginning to participate in work, and the distance between intent and outcome is getting remarkably short.

Most organizations don’t yet have the connected context or authority to govern that well.

We’ve been thinking about those questions for quite some time. And Elara is our answer.

Elara is designed to bring context, trust, and control to actions taken by people and AI alike. It connects the systems an organization already uses and helps make sense of the relationships between them because, as I said at Omnissa ONE Orlando, the most important questions rarely live in any one system. They live between them.

Enterprises already have plenty of tools that can take action. Identity systems can change access. Endpoint platforms can push configuration. Security tools can contain threats. ITSM systems can log approved changes. Increasingly, AI agents can act across several of those systems at once.

The harder problem is understanding the context across all of them and having the authority to decide what should happen before something does.

That’s a big part of what we’re building with Elara.

We’re starting with AI governance because it is one of the most important challenges facing the enterprise today. AI adoption is moving incredibly quickly, often faster than the policies and systems intended to govern it.

Elara can help organizations discover and manage the AI applications and agents already showing up across the enterprise, including the ones nobody formally introduced. It can help govern the AI that has been approved, including how it is accessed and what it costs. It gives organizations a way to understand the agents and capabilities operating in their environment. And it brings that same context into consequential changes across the digital workspace, so decisions can be made with a better understanding of what else might be affected and a record of what happened afterward.

There’s a lot in there to unpack but the underlying problem is bigger than AI.

For years, enterprises have accumulated systems that are very good at executing actions within their own domains. What they haven’t had is a common or consistent way to reason across them.

A change can look perfectly reasonable in one system while conflicting with a freeze recorded somewhere else. An application can look harmless until you connect its activity to a device, a user, and sensitive enterprise data. An agent may be acting on behalf of a user but that doesn’t mean it should inherit everything that person can access.

AI is making these gaps much harder to ignore.

People make mistakes and operate under pressure. Automations will faithfully execute bad instructions. And agents can move from intent to action remarkably quickly.

The idea at the center of Elara is simple: Control before consequence.

Give organizations enough context to understand what is happening, enough authority to step in when they need to, and a record of the decisions that got them there. And ensure that principle applies whether the actor is a person, an automation or an AI agent.

What started as a set of questions, whiteboards, and ideas that a small group of us couldn’t stop thinking about... those ideas took hold and they grew. And eventually, led us to where we are now.

It’s an understatement to say that I am proud of Elara, and even more so of the incredible team bringing it to life.

Well, now the secret is out. And we’re just getting started.

Meet Elara.

Take a tour of Elara

Join the beta waitlist

 

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