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Security teams have spent decades building strong processes for managing human identities. Password policies. Access controls. Regular audits. It’s a discipline that’s matured over time. But agentic AI has created a new type of identity that most organizations aren’t ready to manage and the gap is growing fast.
Non-human identities (NHIs) now outnumber human users in 83% of organizations. Yet only 21% have any form of NHI governance in place.
That’s not just a blind spot. It’s a major security risk sitting at the center of one of the biggest technology shifts we’ve ever seen. For a deeper look at how IT leaders are navigating this shift, the JumpCloud IT Trends Report of 2026 breaks down the data behind these findings and what organizations are doing about it.
The Identity Problem Nobody Is Talking About Enough
When you deploy an AI agent, it needs access to your systems. That means API keys, service accounts, tokens, and permissions. Each one of those is, in security terms, its own identity. Each one can be hacked. Each one can be misconfigured. And any one that runs without oversight is a potential entry point for attackers.
“Managing non-human identities and API keys for multiple AI agents is challenging,” said a CISO at a U.S. IT and software firm and that challenge is quickly becoming one of the most pressing issues in enterprise security.
The problem isn’t just the sheer number of NHIs. It’s how they behave. Unlike human users, AI agents don’t log in on a predictable schedule. They don’t generate the patterns that security tools are built to flag. They’re often given more access than they actually need and can sit dormant for months and suddenly become active again. When an agent is retired, its credentials often stick around which quietly accumulate risk over time.
In fragmented IT environments where tools don’t connect and data lives in silos it becomes nearly impossible to track non-human identities. Every new agent added to the environment multiplies the problem. That’s why IT leaders are increasingly looking for platforms that bring everything together in one place. JumpCloud’s unified directory platform is built with exactly this in mind, giving IT teams a single view of every identity across their environment — human or non-human, without having to juggle a dozen disconnected tools.
Agent Autonomy Is Outpacing Human Oversight
The governance problem is getting worse because AI agents are becoming more independent, not less.
Six months ago, 40% of organizations required human review before an AI agent could take a high-risk action. Today, that number is down to 25%. In the same period, the share of organizations running fully autonomous agents with no checkpoints, no approvals, no human review has doubled from 11% to 26%.
More autonomy isn’t a bad thing on its own. The whole point of agentic AI is to reduce the need for constant human involvement. But autonomy without governance isn’t efficient. It’s unmanaged risk moving at machine speed.
When an agent independently modifies a system, transfers data, or completes a transaction, there needs to be a framework in place. One that defines what the agent is allowed to do. One that tracks what it actually did. And one that flags anything outside those boundaries. Without that framework, the speed gains of AI come at a real cost: less visibility, less accountability, and less control.
Seventy-six percent of IT leaders say AI is moving faster than their ability to protect against the threats it creates. That’s not a lack of ambition. It’s the reality of deploying autonomous systems without the identity infrastructure to support them. The JumpCloud IT Trends Report explores this tension in detail and outlines the steps leading IT organizations are taking to get ahead of it.
IAM Is Not Keeping Pace, but It Is Improving
Progress is happening. Forty-five percent of organizations have now fully integrated AI agents into their identity management systems, up from 37% six months ago. That’s real momentum and it signals a growing recognition that NHIs need the same level of governance as human identities.
But 45% also means 55% haven’t made that move yet. In a world where non-human identities already outnumber humans across most organizations, agent autonomy is accelerating and that’s not good enough.
The organizations that have integrated proper systems for their agents aren’t just more compliant. They’re better positioned to scale. When every agent identity is registered, monitored, and managed in a single system, adding new agents doesn’t create new governance problems. It extends what’s already working.
A Framework for NHI Governance: Five Stages
The path to closing the NHI governance gap is clear. It comes down to five steps.
Discover.
Start by finding every non-human identity in your environment — API keys, service accounts, tokens, agent credentials, and any automated process with system access. Most organizations have far more than they expect. You’ll likely uncover credentials tied to systems that no longer exist, agents deployed by teams outside IT, and permissions that are far broader than they need to be.
Register.
Once you know what you have, log it all in a central identity management system. Assign a human owner to each non-human identity, document what it’s used for, and define the access it should have. This turns a scattered collection of credentials into a managed, accountable inventory.
Manage.
Put lifecycle policies in place. Rotate credentials on schedule. Review access permissions regularly and trim anything unnecessary. Remove inactive credentials automatically.
Govern.
This is where policy and monitoring come together. Define what each NHI is allowed to do. Set behavioral baselines. Create alerts for anything outside those boundaries. Governance is what makes human oversight possible at scale. It does not require manual approval for every action, but makes sure that the system catches anything unusual and surfaces it quickly.
Unify.
Finally, bring NHI governance into the same platform that manages human identities. When both are governed together, the blind spots disappear. Your security team gets a single, clear view of every identity in the environment: human and agent alike. JumpCloud is built to support this kind of unified approach, helping teams centralize control without sacrificing flexibility or adding complexity.
IAM Is the Non-Negotiable Backbone
Identity and access management has always been a core part of security. Agentic AI hasn’t changed that principle. It’s just raised the stakes considerably.
Every agent in your environment is an identity. The credentials it holds is an access point. The action it takes on its own is a security event, one that your governance framework either covers or doesn’t. Organizations that treat NHI governance as a future project will accumulate risk in direct proportion to how many agents they deploy. Those that treat it as a foundation, i.e., something to build before scaling, not after, will be able to grow their AI programs safely and sustainably.
The real question isn’t whether your agents can act on their own. It’s whether your identity infrastructure can keep up with them when they do.
Visibility isn’t just a security feature. It’s the foundation of trust in agentic AI. Without it, you’re not managing risk, you’re just hoping for the best.
Want to see the full picture? Download the JumpCloud IT Trends Report to explore how IT leaders are approaching AI governance, identity management, and secure scaling and what separates the organizations that are ready from those still catching up.
