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Non-human identity management (NHI management) is the practice of discovering, governing, securing, and retiring the identities that software uses to authenticate and access systems. It applies identity lifecycle controls to service accounts, applications, workloads, and AI agents—identities created and used by technical processes rather than by employees.
What counts as a non-human identity?
The Cloud Security Alliance (CSA), in a definition released July 22, 2026, describes a non-human identity as an identity principal that can authenticate and be authorized, directly or indirectly, to access resources. The key idea is that the identity represents an actor in a system and can be granted access.
Common examples include:
- Service accounts used by applications or automated processes.
- Application and service principals that represent software when it requests access.
- Workload identities used by running services, containers, or other workloads.
- AI-agent identities used when an agent authenticates to systems or acts on their resources.
Microsoft uses machine identity for a specialized subset of non-human identities that secures communications among devices, servers, or virtual machines. The terms overlap, but they are not always interchangeable: NHI management can include software identities beyond those device-to-device relationships.
Is an API key or token itself an identity?
Not necessarily. The CSA distinguishes an identity from its credential: an identity is the principal that can be authorized, while a credential is one means of proving or exercising that identity. A single identity may use different credentials for different actions. Whether a particular item is the principal, its credential, or both depends on how the system defines it.
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| Item | How to understand it |
|---|---|
| Service account or application principal | Usually the non-human identity: the actor to which access is granted. |
| API key, OAuth token, certificate, SSH key, or secret | Often a credential associated with an identity; the exact role depends on the system. |
| Configuration record or code that does not authenticate | Not automatically an NHI under the CSA definition. |
This distinction matters operationally. An inventory of credentials alone may not reveal which principal uses them, what it can access, or whether that identity is still needed.
Why does NHI management differ from employee IAM?
Human identity processes commonly begin with business events: hiring, role changes, and termination. Non-human identities are more often created or used by technical events such as deployments, infrastructure provisioning, workload startup, pipeline execution, autoscaling, or agent invocation. An HR-driven joiner-mover-leaver process therefore cannot, by itself, find and retire every machine identity. Device identities may also be tied to asset onboarding and decommissioning.
The difference is not that software identities need less oversight. Their owners, purpose, permissions, and existence can change as the systems that use them are deployed, scaled, modified, or shut down. Management has to connect identity controls to those technical lifecycles.
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What does the NHI management lifecycle include?
A practical lifecycle links each identity to the system that needs it, controls what it can do, and removes it when that system no longer needs access.
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| Discover and inventory | Find identities across relevant systems and record their associated workload, application, or purpose. | Does a new deployment, pipeline, or integration create an identity that the inventory can see? |
| Provision and assign ownership | Give each identity an accountable owner and a defined purpose before granting access. | Who is responsible for reviewing this identity if its workload changes? |
| Authorize | Grant only the access required for the identity’s task. | Can a permission be narrowed without interrupting the workload? |
| Monitor and review | Check activity and reassess permissions as systems and responsibilities change. | Does the access still match the identity’s current purpose? |
| Manage credentials | Prefer platform-managed or short-lived credentials where supported; rotate or revoke exposed or obsolete credentials. | Can the workload authenticate without a long-lived secret being stored? |
| Decommission | Remove the identity and revoke its associated credentials when the workload or integration ends. | Does shutdown of the service, pipeline, project, or integration trigger cleanup? |
This lifecycle is a practical synthesis of CSA guidance on governance and management, Microsoft’s operational controls, and the five-stage lifecycle described by NHI Management, a site published by HumanAudit Inc. Treat the stages as connected controls rather than a one-time inventory exercise: an identity can become risky after its original access decision if ownership, use, or permissions are no longer reviewed.
Which controls matter most?
Build an inventory that has owners
Discovery is useful only if an organization can connect an identity to the application, workload, or business purpose it supports and assign someone responsibility for it. Unowned identities are harder to review and harder to retire safely.
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Apply least privilege and review changes
Give an identity only the access its task requires, then revisit permissions when the workload changes. Otherwise, permissions can accumulate beyond the original need. Microsoft recommends least-privilege access for identities and reviewing access as workloads evolve.
Reduce exposure from long-lived credentials
Where the architecture supports it, use platform-managed identities or short-lived credentials instead of storing reusable secrets. Microsoft says its managed identities can authenticate to cloud services without storing passwords, API keys, or access tokens. That is a vendor-described capability, not a guarantee that every system can eliminate credentials in the same way. Rotate or revoke credentials that are exposed or no longer needed.
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Make cleanup part of shutdown
Decommissioning should follow technical events, not only employee departures. When a service, pipeline, project, or integration ends, remove its identity and revoke associated credentials. Include device identities in the relevant asset decommissioning workflow.
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Separate governance from day-to-day management
Governance sets organizational policy and accountability; management carries that policy out through provisioning, maintenance, and deprovisioning. The CSA recommends treating NHI governance as part of enterprise risk management. These are capability areas, not a claim that a single product category covers every need: identity governance, cloud IAM, secrets management, workload identity, certificate management, and monitoring can each address parts of the lifecycle.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Why do AI agents raise new identity questions?
An AI agent may act autonomously, encounter resources it was not originally expected to use, delegate work, or need access that changes with context. Those behaviors make identity ownership and authorization harder to reason about than a fixed service integration. Current control considerations include short-lived credentials, real-time policy evaluation, accountability and auditability, and human oversight for sensitive tasks, as described in Microsoft’s overview. They are considerations, not a universally settled technical standard.
The CSA’s May 2026 whitepaper describes agent identity as a governance challenge and notes that delegation can create identities and permissions for sub-agents. Organizations evaluating agent access should therefore consider not just the top-level agent, but also how delegated actions are authorized and accounted for.
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How many non-human identities do organizations have?
There is no single ratio that applies to every organization. Published figures use different scopes and may count different types of identities. The CSA’s 2026 whitepaper reports or cites the following findings; they should be read as attributed study results, not universal benchmarks:
- 144:1 in cloud-native environments was reported by Entro Security as the NHI-to-human identity ratio, up from 92:1 in the first half of 2024.
- About 45:1 across enterprise environments was reported by Entro Security as an average NHI-to-human ratio.
- 44% growth from 2024 to 2025 was reported by Entro Labs for the industry NHI population.
- 28.65 million hardcoded secrets were added to public GitHub repositories in 2025, according to GitGuardian as reported by the CSA.
Separately, Palo Alto Networks’ 2025 NHI overview quoted Wendi Whitmore, its Chief Security Intelligence Officer, describing an 82:1 ratio of autonomous agents to humans. That vendor-research statement counts agents rather than the broader NHI populations in the ratios above, so the figures are not directly interchangeable.
What should you look for in an NHI management approach?
Whether using existing controls or evaluating software, assess how well the approach covers the actual identity lifecycle in your environment:
- Which identity types and environments it can discover, including applications, workloads, devices, and agents.
- Whether identities can be tied to owners, workloads, and business purposes.
- How it supports least privilege and access reviews as systems change.
- Whether it can manage credential risk, including rotation, revocation, and short-lived identity options.
- What activity monitoring and auditability it provides.
- Whether automation can connect provisioning and decommissioning to technical lifecycle events.
- How it integrates with existing IAM, cloud, and secrets-management systems.
- How it handles AI-agent access and delegated actions, if agents are in scope.
These are evaluation criteria based on the governance and lifecycle needs involved; they are not a ranking or benchmark of particular vendors.
What is the practical takeaway?
Non-human identity management extends identity security to the software, workloads, devices, and agents that authenticate to systems. A sound approach ties each identity to a purpose and owner, limits its access, monitors changes, manages its credentials, and removes it when the technical work it supports ends. The essential shift is to make those controls follow deployment and system lifecycles—not just employee lifecycle events.
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