Yes, in many organisations non-human identities outnumber human users because applications, services, workloads, and automation each need their own credentials. The security problem is not just quantity but ownership and lifecycle control. Inventory them, assign accountable owners, rotate or eliminate long-lived secrets, and revoke identities that no longer have a clear business purpose.
Why the count is usually higher than people expect
Non-human identities tend to multiply faster than human accounts because every application, integration, service, workload, and automation path needs a way to authenticate and act. That creates a long tail of service accounts, API keys, tokens, certificates, and cloud workload identities, often spread across teams and platforms. The practical answer is not just “yes”, but “yes, and the inventory is usually incomplete”.
The comparison is rarely about a single directory. Organisations often have one view for workforce users and several disconnected views for infrastructure, cloud, SaaS, CI/CD, data platforms, and legacy systems. That is why the same environment can have a small number of people but a much larger and less visible population of machine identities. Human vs Non-Human Identity is useful here because it shows where human ownership models stop fitting and where machine access needs its own governance.
For practitioners, the important question is not whether the raw count is larger on day one. It is whether the organisation can reliably discover all active non-human identities, assign ownership, and explain why each one still exists. A smaller but governed population is safer than a smaller-looking inventory that misses shadow integrations and orphaned secrets.
What actually drives non-human identity sprawl
Sprawl usually comes from convenience and fragmentation, not from a deliberate decision to create excess identities. Teams create separate credentials for apps, jobs, bots, third-party connections, and temporary projects, then keep them alive because removing them seems risky or disruptive. Over time, long-lived secrets, duplicated identities, and cross-environment reuse become the norm rather than the exception.
Lifecycle control is where the problem becomes material. When an identity is created for a deployment, a vendor integration, or a one-off automation, the original owner may move on, the business purpose may change, or the credential may remain active long after the workload is retired. A guide focused on ownership and accountability, such as NHI Ownership and Accountability Guide, is especially relevant because ownership is the control that keeps the count meaningful instead of merely large.
Non-human identity growth also tracks modern architecture. Cloud workload identity, SaaS-to-SaaS approvals, and automated service-to-service communication all expand the number of actors that need access. The result is not just more identities, but more places where access can persist after the business need has ended.
What to do when machine identities exceed people
Once the machine population is larger, the control objective changes. You are no longer managing a niche technical exception, you are managing a core identity estate that needs discovery, ownership, policy, and review. Ultimate Guide to NHIs gives the broader governance frame, while the practical move is to treat every non-human identity like an asset with a named owner, a defined purpose, and an expiry or review condition.
Rotation and offboarding become non-negotiable when machine identities are numerous. If a secret cannot be rotated without breaking production, that is usually a design problem, not a reason to leave it untouched. Long-lived credentials, shared secrets, and unowned integrations create more risk than the teams that created them usually expect, especially when they are reused across environments or buried in automation pipelines.
Discovery should also go beyond simple inventory counts. A useful review asks whether each identity still has a business purpose, whether its privileges match the workload, and whether the secret or certificate backing it can be revoked without manual heroics. If the answer is no, the estate is already too large to manage safely by memory or ticket trails alone.
Risk and Threat Considerations
The main risk is not that there are more non-human identities than people. The risk is that the larger population is harder to govern, easier to forget, and more attractive to attackers because machine credentials often have broad, persistent access. Once an API key, token, or service account is exposed, it can be abused at machine speed and may be missed by controls tuned for human behaviour.
Failure mechanism: Excess inventory without ownership creates orphaned credentials, stale permissions, and long-lived secrets that remain valid after the workload, vendor, or project should have been retired. Attackers and insiders can exploit those unused but still-active access paths to move quietly through systems that still trust them.
Impact: The likely result is privilege abuse, lateral movement, hidden persistence, and a much larger blast radius when one credential is stolen or misused. In the worst case, the organisation thinks it has “just another integration” when it actually has a durable backdoor with legitimate authentication.
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 addresses the attack and risk surface, while NIST SP 800-53 Rev 5 sets the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 — Improper Offboarding | Machine identities that outlive their purpose create orphaned access and stale credentials. |
| NHI-02 — Secret Leakage | The answer hinges on exposed credentials and the need to rotate long-lived secrets. | |
| NHI-05 — Overprivileged NHI | Large NHI populations often accumulate excessive permissions beyond the business need. | |
| Recommendation — Revoke and retire non-human identities when the workload, integration, or vendor relationship ends. Eliminate exposed secrets and rotate credentials before attackers can reuse them. Reduce non-human identity permissions to the minimum needed for each defined function. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | The question concerns managing machine credentials, rotation, and revocation at scale. |
| IA-9 — Service Identification and Authentication | Non-human identities authenticate services, workloads, and automation paths to each other. | |
| Recommendation — Manage authenticator lifecycle so credentials are issued, rotated, and revoked on schedule. Use service authentication controls for workload and service-to-service access. | ||
Practitioner Guidance
What to prioritise: Start with identities that can reach production data or critical control planes, then work downward. A machine identity with wide access and no clear owner is a more urgent problem than a low-risk account that is merely numerous.
What to verify: Confirm that each non-human identity has one accountable owner, one documented business purpose, and one clear decommission path. If you cannot answer those three questions quickly, the identity is already under-governed.
Common mistake: Teams often chase the headline count and miss the real failure mode, which is lifecycle control. Reducing the number of identities helps only if it also reduces orphaning, shared secrets, and uncontrolled reuse.
Practitioner takeaway: The useful metric is not whether non-human identities outnumber humans, it is whether every non-human identity is discoverable, owned, and removable when its purpose ends.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on October 20, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org