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01/07/2026 2:02 am
TL;DR: Non-human identities now underpin cloud operations, APIs, bots, and AI systems, yet governance maturity still lags behind their scale, leaving organisations exposed to excessive permissions, hardcoded credentials, and orphaned access, according to SecurEnds. The operational problem is no longer visibility alone, but whether identity programmes can govern machine access with the same discipline applied to human users.
NHIMG editorial — based on content published by SecurEnds: non-human identities explained and governed for modern enterprise environments
By the numbers:
- Only 38% have automated certificate lifecycle management in place.
- 57% of organisations lack a complete inventory of their machine identities.
- 69% of organisations now have more machine identities than human ones.
Questions worth separating out
Q: How should security teams govern non-human identities at scale?
A: Start with discovery, ownership, and entitlement control.
Q: Why do non-human identities increase enterprise access risk?
A: They often operate continuously, hold elevated permissions, and use long-lived credentials that are harder to track than human access.
Q: What breaks when machine identities do not have clear ownership?
A: Without ownership, nobody can reliably approve access, validate necessity, rotate credentials, or retire the identity when the workload changes.
Practitioner guidance
- Build a complete machine identity inventory Continuously discover service accounts, API credentials, automation bots, workload identities, and certificates across cloud and hybrid environments, then map each identity to a named owner and system of record.
- Enforce least privilege at the identity level Review permissions for non-human identities against actual workload function, remove broad administrative access, and separate production access from build, test, and administrative workflows wherever possible.
- Rotate and retire secrets on an ownership schedule Tie token, key, and certificate rotation to explicit ownership, dependency mapping, and retirement dates so dormant or duplicated credentials do not persist after the original application or integration changes.
What's in the full article
SecurEnds' full article covers the operational detail this post intentionally leaves for the source:
- Step-by-step governance guidance for service accounts, API keys, bots, and workload identities in enterprise environments.
- Practical examples of how SecurEnds frames discovery, entitlement review, and monitoring across machine identity types.
- The article's own maturity-oriented checklist for inventory, ownership, secret rotation, and audit readiness.
- A vendor-side description of how its platform positions centralised governance across cloud and hybrid estates.
👉 Read SecurEnds' article on non-human identity governance and access risk →
Non-human identity sprawl: what IAM teams need to control?
Explore further
01/07/2026 2:21 am
Non-human identity governance is now an access governance problem, not a niche infrastructure concern. The article correctly frames service accounts, APIs, bots, workloads, and AI systems as identities that make decisions about access at machine speed. That changes the governance baseline: entitlement visibility, ownership, and review cadence matter because these identities can outlive the projects and teams that created them. Practitioners should treat machine identities as part of the core IAM estate, not an edge case.
A few things that frame the scale:
- 57% of organisations lack a complete inventory of their machine identities, according to The Critical Gaps in Machine Identity Management report.
- 53% of organisations have experienced a security incident directly related to machine identity management failures.
A question worth separating out:
Q: How can organisations tell whether machine identity governance is working?
A: Look for a current inventory, named owners, routine entitlement reviews, credential rotation evidence, and a measurable drop in dormant or overprivileged identities. If those signals are missing, the programme is likely managing individual credentials but not governing the identity lifecycle end to end.
👉 Read our full editorial: Non-human identity governance is lagging behind cloud automation
