A non-human entity is any machine or software identity that needs access to systems to perform work. This includes applications, automations, AI agents, services, and other workloads that authenticate with secrets rather than human credentials. These identities require tightly governed access because they operate at scale and speed.
Expanded Definition
Non-human entity is the umbrella term for machine or software identities that must authenticate to applications, infrastructure, or data services in order to do work. In NHI security, the term covers service accounts, workloads, integrations, robots, scripts, and AI agents when they are granted execution authority and tool access. The boundary can be broader than many teams expect: some organisations use the term for any computational actor with its own credentials, while others separate it from human-facing automation. Usage in the industry is still evolving, so definitions vary across vendors and governance programs.
The practical distinction is that a non-human entity does not rely on a person typing credentials at runtime. It usually authenticates with secrets, certificates, tokens, or federated workload identity, which means its access can persist, scale, and replicate far faster than a human session. That is why control expectations are closer to NIST Cybersecurity Framework 2.0 asset and access governance than to ad hoc application administration. The most common misapplication is treating a non-human entity like a generic user account, which occurs when teams grant long-lived credentials and manual approvals without lifecycle controls.
Examples and Use Cases
Implementing non-human entity governance rigorously often introduces operational friction, requiring organisations to weigh automation speed against credential lifecycle control and access review overhead.
- A CI/CD pipeline uses a service identity to deploy containers, but its secret is rotated through a managed process instead of stored in a build script. This aligns with the lifecycle discipline described in the Ultimate Guide to NHIs.
- An AI agent calls internal tools through scoped permissions, with policy boundaries that limit what it can read, write, or trigger. This is where agentic governance guidance from NIST Cybersecurity Framework 2.0 becomes operationally useful.
- A scheduled automation pulls invoice data from an API using a certificate rather than a human password, reducing interactive login dependence but increasing the need for rotation, inventory, and offboarding discipline.
- A third-party integration receives a scoped token for a limited business function, then the token is revoked when the integration is retired or the vendor relationship changes.
- A database migration script runs under a workload identity that is monitored separately from employee accounts, so anomalous use can be detected faster.
Why It Matters in NHI Security
Non-human entities matter because they often outnumber humans, hold broad privileges, and operate continuously across systems. When they are not inventoried, rotated, or decommissioned, they become silent attack paths that persist long after the original owner has moved on. NHI Management Group research shows that 97% of NHIs carry excessive privileges and only 5.7% of organisations have full visibility into their service accounts, which is a severe governance gap. The same research also highlights that 96% of organisations store secrets outside dedicated secrets managers in vulnerable locations, reinforcing how easily non-human access becomes exposed. See the Ultimate Guide to NHIs for the underlying research.
This term is especially important for Zero Trust programs because non-human identities must be verified, constrained, and monitored just as carefully as people, often more so because they can execute at machine speed. In practice, the governance burden spans secrets, certificates, policy boundaries, offboarding, and exception handling, not just authentication. Organisations typically encounter the cost of weak non-human entity control only after a secrets leak, service outage, or compromised integration, at which point the term becomes operationally unavoidable to address.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 and OWASP Agentic AI Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST Zero Trust (SP 800-207) and NIST SP 800-63 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Covers inventory and governance of non-human identities across their lifecycle. |
| OWASP Agentic AI Top 10 | A-04 | Agentic systems use non-human entities with tool access and execution authority. |
| NIST CSF 2.0 | PR.AC-1 | Access control principles apply directly to machine and service identities. |
| NIST Zero Trust (SP 800-207) | 3.1 | Zero Trust requires continuous verification of all subjects, including workloads. |
| NIST SP 800-63 | Identity assurance concepts help distinguish strong machine authentication from weak shared secrets. |
Use high-assurance authentication patterns for machine identities instead of shared or embedded credentials.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on August 27, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
