Topic starter
17/08/2026 4:37 pm
TL;DR: Akeyless argues that machine identities now outnumber human users by 25x to 50x in modern enterprises, and that unmanaged secrets, weak lifecycle controls, and over-permissioned service accounts are expanding the attack surface across cloud and AI workloads. The real governance failure is that identity, access, rotation, and revocation models built for people do not scale cleanly to NHIs.
Editorial analysis by NHI Mgmt Group, based on content published by Akeyless: “Mastering Machine Identity Management: The Key to Securing Non-Human Identities (NHIs)”.
By the numbers:
- NHIs outnumber human identities by 25x to 50x in modern enterprises, according to the Ultimate Guide to NHIs.
Key questions
Q: What breaks when machine identities are governed separately from human IAM?
A: Separate governance creates blind spots in entitlement review, revocation, and monitoring.
Q: Why do long-lived machine credentials increase breach risk?
A: Long-lived credentials create a standing access path that can survive code changes, personnel changes, and forgotten integrations.
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
- Inventory every machine identity Build and maintain a live inventory of service accounts, API keys, certificates, tokens, and workload identities, including owner, purpose, location, and expiry status.
- Automate lifecycle enforcement Require secure issuance, rotation, and revocation workflows for all machine credentials so unmanaged identities do not persist after service changes or incidents.
- Remove standing privilege from workloads Replace persistent permissions with just-in-time access where workloads only receive the privileges needed for the current task.
Bottom line: Machine identities now need the same governance discipline that organisations usually reserve for human access, because their credentials can persist, spread, and be abused at scale.
What's in the full article
Akeyless's full analysis covers the operational detail this post intentionally leaves for the source:
- Step-by-step guidance on issuing, rotating, and revoking machine credentials across cloud and DevOps environments
- Practical examples of how to embed secret handling into CI/CD pipelines and runtime deployment flows
- Operational detail on secretless authentication, certificate lifecycle handling, and automated response workflows
- The article's full discussion of agentic AI and how machine identity controls may need to evolve for autonomous systems
👉 Read Akeyless's analysis of machine identity management and NHI security →
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17/08/2026 4:44 pm
Machine identity management is now a control plane problem, not a vault problem. The article correctly treats issuance, provisioning, rotation, and revocation as one lifecycle, because fragmentation is what creates orphaned access. When service accounts and workload credentials are created faster than governance can track them, the real issue is not storage, but accountability across the full identity lifecycle. Practitioners should read MIM as a governance operating model, not a point product category.
A few things that frame the scale:
- 1 in every 1,000 non-human identities in enterprise environments is more than 10 years old.
A question worth separating out:
Q: Should organisations prioritise Zero Trust for machine identities before broader IAM changes?
A: Yes, if machine identities are already driving a large share of your access surface. Zero Trust is most useful when it constrains the identities that can move laterally, call services, or carry long-lived privileges. If those identities remain over-privileged or unmanaged, broader IAM improvements will still leave the highest-risk access paths exposed.
👉 Read our full editorial: Machine identity management is now central to NHI security