A non-human identity (NHI) is any digital identity not tied to a person, such as a service account, API key, token, bot, or AI agent. NHIs now outnumber human identities by tens to one, and agentic AI is multiplying to them fast. Because they are often unmanaged and overprivileged, they are a top attack target. This guide explains what NHIs are, why they are risky, and how to secure them.
Non-human identity is one of the fastest-growing security risks in the enterprise, and most teams cannot see it. Every app, script, API, and now every AI agent needs an identity to connect to other systems. These non-human identities, or NHIs, quietly outnumber your employees by a wide margin.
The risk is rising sharply in 2026 because agentic AI adds a whole new class of NHIs. As businesses deploy AI agents that act on their own, each agent becomes another identity with real access to data and systems. If no one governs them, they become an open door.
This guide keeps it clear. You will learn what a non-human identity is, why NHIs are so risky, how agentic AI widens the gap, and the practical steps to secure them. No deep security background is needed.
What Is a Non-Human Identity (NHI)?
A non-human identity, or NHI, is any digital identity that is not tied to a human user. It includes service accounts, API keys, OAuth tokens, certificates, SSH keys, bots, scripts, and cloud workloads. Increasingly, it also includes AI agents. NHIs let software and machines authenticate and connect to other systems without a person involved.
Think of NHIs as the silent workforce behind your business. When one app checks data with another, or a script runs a nightly backup, an NHI is doing the work. These identities are essential to modern cloud, SaaS, and DevOps operations.
But unlike people, they do not log in with a password and a second factor. They authenticate with secrets like keys and tokens, which makes them a very different security problem.
Why Are Non-Human Identities a Growing Security Risk?
Non-human identities are a growing risk because they now vastly outnumber human identities yet often lack basic control. Industry research suggests NHIs outnumber human users by tens to one, and in many enterprises fifty times or more. Each one is a potential way into your systems.
The problem is scale plus neglect. Human identities are created through HR and managed with clear controls. NHIs are created by developers and automation, often with no owner and no lifecycle plan. They frequently carry broad, standing access, so they do not break workflows.
The result is an identity sprawl: a fast-growing web of credentials that no one fully tracks. According to the Non-Human Identity Management Group, more than fifty million leaked API keys, tokens, and service accounts were found on the dark web in 2024. Each one is a ready-made key for an attacker.
How Does Agentic AI Widen the Non-Human Identity Gap?
Agentic AI widens the gap because every AI agent has a new non-human identity. As enterprises deploy agents that act on behalf of users, each agent needs its own identity to reach data and systems. This adds a large, fast-growing class of NHIs, often faster than security teams can govern them.
This is what makes 2026 different. Earlier NHIs were mostly predictable, like a service account that ran one task. AI agents are more autonomous. They can act across many systems, make decisions, and use credentials in ways that are harder to predict. A single unmanaged agent with broad access is a serious risk.
This is the security gap agentic AI opens: powerful new identities arriving before the controls to manage them. Sound AI governance treats agents as identities from day one, not as an afterthought.
What Makes NHIs Hard to Secure?
NHIs are hard to secure because the controls built for humans do not fit them. People use passwords and multi-factor authentication, but an NHI cannot answer an MFA prompt. Instead, it relies on static secrets like API keys, which can persist for years and are easy to leak. This mismatch leaves NHIs exposed.
Several traits make the problem worse. NHIs often have broad, standing privileges, so they do not break production. Many have no defined owner, so no one reviews or retires them. They operate around the clock, so unusual activity blends in.
And their secrets are sometimes hardcoded into scripts or stored in plain text. When one is compromised, attackers gain quiet, direct access and can move laterally across systems. The 2024 Snowflake incident, where stolen credentials on accounts without MFA exposed data across many organizations, showed how damaging an unmanaged NHI can be.
How to Secure Non-Human Identities
Securing non-human identities starts with seeing them. You cannot protect what you cannot find, so the first step is discovery. From there, a few core practices sharply reduce risk. Together they turn a hidden liability into a governed asset.
Here are the essential steps:
- Discover and inventory: use automated tools to find every NHI across cloud and on-premises and keep the list current.
- Assign ownership: give each NHI a responsible owner, so it is reviewed and retired when no longer needed.
- Enforce least privilege: grant only the access each NHI needs, using role-based and just-in-time access instead of standing privileges.
- Rotate and vault secrets: store API keys and tokens securely, rotate them regularly, and never hardcode them.
- Monitor behavior: watch for unusual NHI activity and use identity threat detection and response to catch misuse early.
For Indian enterprises, these steps also support compliance with the DPDP Act, since they prove control over who and what can reach sensitive data. Strong identity and access management and layered cloud security are the foundation.
Securing AI Agents: Entra Agent ID and Governance
AI agents need the same discipline as any NHI, plus tools built for them. Microsoft Entra Agent ID gives each agent its own managed identity, so IT can apply conditional access, least privilege, and monitoring, just as it does for staff. This brings agents under governance instead of leaving them as blind spots.
The approach is simple to state. Treat every agent as a first-class identity. Register it, give it to an owner, limit its access, and watch its behavior. Platforms like Microsoft Agent 365 and the wider Microsoft security cloud help by unifying identity, endpoint, and data security.
For a BFSI firm in Mumbai deploying its first agents, the safest path is to fix identity hygiene first, then switch agents on in stages under full oversight.
How Embee Software Helps
Managing non-human identities on a scale is hard to do alone. It takes discovery tools, the right policies, and people watching threats around the clock. Many businesses adopt cloud and AI quickly, then leave NHI security to catch up, which is exactly when attacks succeed.
As a Microsoft Frontier Partner with a dedicated Cyber Defense Center, Embee Software helps Indian enterprises discover their NHIs, enforce least privilege, and govern AI agents securely. Through our managed IT and security services, certified specialists help you close the gap before attackers find it. Book a free identity security assessment with our team to get started.
Conclusion
Non-human identities are the silent majority of your digital workforce, and agentic AI is swelling in their ranks fast. Left unmanaged, they form a large, invisible attack surface. Governed well, they stay a safe and powerful asset.
The smart first step is discovery, not new tools. Find your NHIs, give them owners, limit their access, and bring your AI agents under the same identity controls as your people. As a Microsoft Frontier Partner, Embee Software helps Indian enterprises do exactly that. Book a free identity security assessment with our team to begin.
Key Takeaways
- A non-human identity (NHI) is any digital identity not tied to a person, such as a service account, API key, token, bot, or AI agent.
- NHIs now outnumber human identities by tens to one and often lack basic security controls.
- Agentic AI is adding a large new class of NHIs, since every AI agent needs its own identity.
- NHIs are risky because they are often overprivileged, use static secrets, and have no clear owner.
- Securing NHIs needs discovery, least privilege, secret rotation, and lifecycle governance.
- AI agents can be governed with tools like Microsoft Entra Agent ID, which treats each agent as a managed identity.









































