A non-human identity is a digital identity used by something other than a person to authenticate to systems, applications, data, or infrastructure.

Examples include:

• Service accounts used by applications, backups, or scheduled jobs
• Application identities, service principals, and managed identities
• Workload identities used by containers, pipelines, and automation
• API keys, tokens, certificates, and OAuth applications
• Bots and AI agents that access systems or act on a user’s behalf

Human identities usually have an employee or administrator attached to them. Non-human identities are tied to a process, application, or integration. That difference makes them easy to miss during access reviews and difficult to investigate when something goes wrong.

If an identity can authenticate, access data, call an API, or trigger an action, it belongs in your security review, even if no one calls it a “user.”

They often have too much access

Teams may grant broad permissions to get an application or integration working, then never reduce them. If an attacker steals the identity’s token or compromises the application using it, that access can create a large blast radius.

Their credentials are difficult to protect

Multi-factor authentication (MFA) is designed primarily for interactive human sign-ins. Many non-human identities use API keys, certificates, client secrets, or long-lived tokens instead.

These credentials can be copied, shared, or left in source code and scripts. A leaked key may give an attacker a valid path into the environment without triggering the same controls used for a human login.

They’re easy to leave behind

A project ends. A vendor changes. An employee leaves. A tool is replaced. The identity remains active anyway.

Dormant service accounts, old OAuth grants, unused application registrations, and forgotten automation accounts create invisible access paths. Without an owner or expiration date, no one may know whether an identity is still needed—or how to disable it safely.

AI agents act without hesitation

AI agents add a new dimension to non-human identity risk. An agent may interpret a goal, plan multiple steps, use different tools, and adapt based on the results.

That can make agents useful digital workers. It also means a compromised or misconfigured agent may access sensitive data, change systems, or communicate externally at machine speed. If it has broad access, an attacker may only need to manipulate the agent, steal its credentials, or exploit one of its integrations.

Look for these oversights:

• Service accounts with no documented owner
• Shared credentials or long-lived tokens
• Application identities with tenant-wide or administrator-level permissions
• OAuth applications that were approved once and never reviewed again
• AI agents with access to mailboxes, files, production systems, or security tools
• Credentials stored in source code, scripts, tickets, or documentation
• No baseline for normal activity, destinations, operating hours, or data access
• No tested process for revoking access when an identity is compromised

A written AI security policy won’t close these gaps by itself. You need enough visibility to connect an identity to its owner, purpose, permissions, activity, and business context.

Build an inventory and assign ownership

Identify service accounts, application identities, managed identities, workload identities, API credentials, OAuth grants, automation accounts, and AI agents.

Record what each identity is for, who owns it, which systems it can access, how it authenticates, where it runs, and when it was last reviewed. For AI agents, document the human sponsor, approved tools, permitted data, high-risk actions, and required approval points.

Apply least privilege

Give each identity only the access it needs for its defined job. Review permissions when the application, integration, workflow, or AI agent changes. Remove unnecessary access, rotate credentials, and use short-lived tokens where supported.

Monitor behavior and plan for offboarding

Establish a baseline for the systems an identity touches, its usual operating hours, its API calls, and the data it accesses. Investigate a new destination, unusual token use, interactive sign-in by a service account, or an AI agent taking an action outside its approved workflow.

Every identity should have a safe way to be disabled, rotated, or revoked. When an application is retired, remove its permissions, revoke its tokens, delete unused secrets, and update your inventory.

At Huntress, we treat non-human identities as part of the broader identity resilience problem, not as an isolated AI problem.

Huntress Managed Identity Security Posture Management (ISPM) helps organizations proactively find and close risky Microsoft 365 identity configurations, access, and policy drift. That supports the identity hygiene needed to govern applications, integrations, and other non-human accounts.

Huntress Managed Identity Threat Detection and Response (ITDR) helps detect and respond to active identity-based threats in Microsoft 365 and Google Workspace. It adds threat context to identity activity so teams can investigate suspicious access, rogue applications, account takeover, and other abuse more quickly.

Our Agentic Security Platform connects telemetry from endpoints, identities, logs, and learners. Our AI-centric Security Operations Center (SOC) uses AI to correlate activity and accelerate investigations while human analysts and threat hunters remain responsible for judgment and response decisions.

Non-human identities are the accounts behind the applications, automations, integrations, and AI agents your business depends on. They may not look like employees, but they can hold just as much—or more—access to sensitive systems and data.

You can’t secure what you can’t see. Build an inventory, assign ownership, limit permissions, monitor behavior, and make revocation part of the identity lifecycle. Then connect posture management with detection and response so your team can close preventable gaps and act quickly when a machine identity is abused.