Topic starter
25/06/2026 5:18 pm
TL;DR: Machine identities are harder to manage than human identities for 72% of identity professionals, and 66% say the work requires more manual steps, according to SailPoint’s study. The editorial point is that visibility, ownership, and policy consistency now determine whether machine identity risk stays containable or becomes structural.
Editorial analysis by NHI Mgmt Group, based on content published by SailPoint: “Build a stronger identity security program by mitigating machine identity risk”.
By the numbers:
- 72% of identity professionals say machine identities are more difficult to manage than human identities.
- 66% of study respondents report that managing machine identities requires more manual steps than managing human identities.
- 62% of companies surveyed said they have machine identities active without any visibility.
Key questions
Q: What breaks when machine identities are tracked manually?
A: Manual tracking breaks when credential volume outpaces human oversight.
Q: Why do machine identities create more risk than human identities in some environments?
A: Machine identities are often numerous, long-lived, and embedded in code or infrastructure.
Q: How do security teams know if machine identity governance is working?
A: Look for fewer standing accounts, faster onboarding of automation workflows, auditable role approvals, and visible retention of access records after logout.
Practitioner guidance
- Discover and classify machine accounts Build a current inventory of service accounts, application identities, and device credentials, then classify each by business function and risk.
- Assign a human owner to every machine identity Require a named accountable owner for each machine account so review, exception handling, and retirement decisions have a clear decision-maker.
- Review entitlements against actual service function Compare the permissions on each machine identity with the workload it currently supports and remove access that no longer maps to runtime need.
Bottom line: Machine identities create governance gaps when they are active but not visible, because unmanaged service accounts can preserve access long after their original purpose changes.
Explore further
View Full Forum → | NHI Foundation Course → | Our Services → | Read the full analysis →
This topic was modified 1 day ago by NHI Mgmt Group
25/06/2026 5:53 pm
Machine identity visibility is now a governance baseline, not an advanced capability. The article shows that organisations can no longer rely on human ownership assumptions to cover machine accounts. When 62% of surveyed companies say they have active machine identities without visibility, the governance gap is already embedded in the estate. Practitioners should treat discoverability as a prerequisite for control, not a reporting enhancement.
A question worth separating out:
Q: How should teams reduce machine identity visibility gaps in enterprise IAM?
A: Teams should start by building a complete inventory, then attach ownership, review, and entitlement checks to every machine account. The goal is to make hidden identities visible enough to govern and stale permissions easy to remove. Without that sequence, automation only scales the blind spots instead of reducing them.
👉 Read our full editorial: Machine identity risk is exposing gaps in enterprise IAM programs
This post was modified 1 day ago by NHI Mgmt Group