The Vendor to Beat, Built Before the Category Had a Name

A few years ago, we made a call that most of our industry was not ready to hear.

AI agents were going to become the primary way enterprises get work done.

Not as a concept, not as a research project, but as the operational reality of how the modern business runs. And the security infrastructure being built around them was designed for something fundamentally different. Prompt filtering. Model safety. Input guardrails. Missing risks that are tied to the very things that make agents so powerful - they reason, decide, act on their own, and take actions on behalf of the user.

We saw an attack surface that most organizations hadn’t even discovered yet. And we decided to build for it before the market had a name for what we were doing.

That’s what makes this week meaningful.

Gartner has named Zenity the company to beat in AI Agent Governance.

Gartner's recognition is a proud moment for our team because of how they reached it - technical capabilities, customer deployments, business model, ecosystem strength. This wasn't a survey. It was an assessment of how the category actually works, and who it’s built for. But what makes it truly meaningful is who we get to share it with.

To every security leader who saw the problem early, trusted our approach, and pushed us to go further, this one's for you. You believed in what we were building before the market caught up. You brought us into your most complex environments, challenged us to cover more platforms, move faster, and think bigger. You treated agent security as the serious enterprise problem it is, at a time when most were still debating whether it was a problem at all.

Securing AI agents everywhere has always been a shared mission. This is a shared milestone and we're grateful to be on this journey with you.

What We Saw That Others Didn't

When we made the decision to go all-in on security for agentic AI, agents were still more of a “look into the future” theme, while a lot of focus was put on prompt filtering.. But enterprises don’t get compromised only at the prompt layer, and more than that- prompt injection is not a solvable problem. They get hurt when an agent connected to their CRM, their email, their financial systems, takes an action it was never supposed to take, often silently, often at a speed no human was watching.

We took a position that was not the mainstream position at the time: that the agent itself was the primary target. That securing agents meant understanding what they were built to do, governing how they behaved at runtime, and enforcing boundaries based on context and intent rather than just filtering inputs or scanning outputs. It meant a fundamentally different approach to security altogether, one built around agents as the autonomous systems they actually are.

We brought a unique approach to the market, and honestly, we still see some companies focus on securing the wrong layer or applying the wrong framework, because of noise. But the market is speaking. Gartner is speaking. And we’re reaching the kind of consensus that only comes when the real-world evidence is too loud to argue with.

What I find gratifying is not that we were right. It’s that the enterprises we have been working with all along were right to trust the approach. Security leaders who agreed and insisted that agent behavior needed to be understood, not just monitored. Customers who pushed us to go further, cover more platforms, and move faster. They saw what was coming before most of the industry wanted to admit it.

“We are Building in Here”

The organizations taking agent security seriously are starting to confront the harder problem of learning to govern agents at the pace AI is actually moving. Thousands of agents, across dozens of platforms, reasoning in real time, acting autonomously, and interacting with each other. Human review of that doesn’t scale. The security programs that treat agent governance as a configuration setting or a checklist item are going to find that out the hard way. This is what the era of 1 billion agents is all about.

Part of that answer is Guardian Agents. Autonomous systems embedded in the security layer that monitor, reason over, and respond to agent behavior in real time. Not to replace human judgment, but to amplify it. To surface the right signals, flag the right issues, and extend trust to the systems that have earned it over time. That’s how security begins to keep pace with AI adoption that’s no longer waiting for anyone's approval.

But, that’s only part of it. The category is bigger than any single capability, and we’re only beginning to see its full shape. The bets we’re making now look a lot like the bet we made three years ago. And those bets are grounded in what we see every day in enterprise environments. Something that most of the industry hasn’t caught up to yet.

The Gartner recognition validates what we’ve built. What comes next is what drives us.

Securing the Era of 1 Billion Agents

Our customers are adopting AI Agents at a pace never seen before in previous tech waves. We are excited to be critical enablers in their journey and allow them to rebuild their infrastructure with agentic AI at their core . The security leaders who were flying blind on their AI deployments twelve months ago can now see every agent running in their environment, understand what they’re doing, and move forward with confidence rather than anxiety. The teams that told us agent security was their biggest unsolved problem, and who have a real answer today. Those conversations matter even more to us than analyst validation.

And none of it happens without the team that built this category before it had a name. Every person who stayed focused through every challenge, every moment when the market was still catching up to the problem we could already see clearly. We are very proud of what Gartner recognized, and are even more proud of our team and their great achievements.

Securing AI Agents Everywhere. Laser Focused. More to Come.

Ben Kliger
CEO, Zenity