Topic starter
09/02/2026 1:50 pm
TL;DR: Machine identities now make up a major share of privileged access and often hold permissions equal to or greater than human admins because they authenticate with secrets, tokens, and keys that grow fast and rotate slowly, according to Delinea. That turns machine identity governance into a visibility and control problem, not an inventory exercise.
Editorial analysis by NHI Mgmt Group, based on content published by Delinea: “Manage machine identities: The hidden privileged access layer you need to manage”.
Key questions
Q: What breaks when machine identity inventory is incomplete?
A: Rotation, revocation, and decommissioning all break down when you cannot see the full population of credentials.
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: What are the signs that machine identity controls are failing in a cloud environment?
A: Machine identity controls are likely failing when teams find unexplained API access, stale secrets that remain valid for long periods, or accounts that were never challenged with MFA.
Practitioner guidance
- Map machine identities to their secrets and dependents Build a living inventory that links each service account, workload role, app registration, and OAuth app to the keys, tokens, certificates, and workloads it uses.
- Prioritise high-blast-radius identities first Start with administrative, shadow, stale, unvaulted, and non-rotated machine identities because those are the ones most likely to turn compromise into environment-wide impact.
- Centralise credential storage and governance Vault machine identity credentials where possible so access can be audited, rotated, and disabled from a known control point instead of scattered across cloud stores, pipelines, code, and local files.
Bottom line: Machine identities have become a privileged layer in modern environments, and their risk comes from standing access, long-lived secrets, and unclear ownership.
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
11/10/2026 2:55 am
Machine identity governance is now a privileged access problem, not an inventory problem: once service accounts, workload roles, and OAuth apps start carrying admin-level access, the question is no longer how many exist but which ones can do damage. The article shows why visibility, ownership, and credential control have to sit together or the governance model fragments. Practitioners should treat machine identity sprawl as a PAM issue with NHI characteristics.
A few things that frame the scale:
- NHIs outnumber human identities by 25x to 50x in modern enterprises, according to the Ultimate Guide to NHIs.
- 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, according to the Ultimate Guide to NHIs.
A question worth separating out:
Q: How do teams reduce risk from machine identities in cloud environments?
A: Start with inventory, because you cannot govern what you cannot see. Then remove default credentials, shorten token lifetimes, restrict privileges to the task at hand and monitor for unusual use patterns. Machine identities should be treated as production assets with owners, scope limits and lifecycle controls.
👉 Read our full editorial: Machine identities are the hidden privileged layer IAM still misses