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.
At a glance
What this is: This is a machine identity management analysis that says NHIs are now central to security because their secrets, lifecycle, and privilege controls are often weaker than those used for human identities.
Why it matters: It matters because IAM, PAM, and NHI programmes now have to govern service accounts, API keys, certificates, and workload access with the same discipline traditionally reserved for people.
By the numbers:
- NHIs outnumber human identities by 25x to 50x in modern enterprises, according to the Ultimate Guide to NHIs.
👉 Read Akeyless's analysis of machine identity management and NHI security
Context
Machine identity management is the discipline for governing the credentials, certificates, API keys, tokens, and service accounts used by applications, services, containers, devices, and workloads. The underlying problem is not that these identities exist, but that they are often created faster than inventory, ownership, rotation, and revocation processes can keep up.
The article argues that the control gap is structural: security programmes have spent years hardening human identity with SSO and MFA, while NHIs are still left with long-lived secrets and broad permissions. That creates a governance mismatch for cloud-native operations, CI/CD pipelines, and emerging AI-driven systems.
Akeyless frames this as a lifecycle problem as much as a tooling problem. Once issuance, provisioning, rotation, and revocation are treated as separate tasks instead of one governed chain, machine identities become persistent attack paths rather than managed assets.
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. A machine identity can retain broad access long after the business need changes, and teams may never see it inside the human access review cycle. That leaves runtime access outside normal oversight.
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. Once exposed, they can be replayed for as long as they remain valid. That makes them more dangerous than narrowly scoped, short-lived credentials because the attacker has more time to find, test, and abuse them.
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. Another warning sign is excessive reliance on shared or static credentials across workloads. Those patterns show that access is not tied to a specific machine, session, or business need.
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.
Technical breakdown
Why machine identity lifecycle controls fail at scale
Machine identities are not just accounts with different names. They are often ephemeral, application-generated, and distributed across pipelines, clusters, and cloud services, which makes manual ownership and renewal unreliable. The technical failure usually starts when issuance is weak, provisioning is inconsistent, or revocation never happens at all. In that state, secrets become durable access paths instead of temporary authenticators. This is why lifecycle governance is the core control plane for machine identity security, not a side function of secrets storage.
Practical implication: treat issuance, distribution, rotation, and revocation as one workflow with enforced ownership and expiry.
How standing privilege and long-lived secrets enlarge the blast radius
A machine identity becomes dangerous when its credential lasts longer than the task it was created for, or when it can reach more systems than it needs. Standing privilege lets compromised service accounts move laterally, while long-lived API keys and certificates preserve access long after the original business purpose has changed. Zero standing privilege and least privilege work together here: one removes persistence, the other narrows reach. The technical point is simple. The longer the credential survives, the more useful it becomes to an attacker.
Practical implication: eliminate persistent access where the workload can request just-in-time permissions instead.
Why secrets management must be embedded in delivery pipelines
Machine identities are created and consumed inside modern delivery paths, so secrets cannot be managed as an afterthought. If keys, tokens, or certificates are injected manually, they tend to leak into code, logs, build artefacts, or configuration files. Dynamic secret injection reduces that exposure, but only if the pipeline also knows how to handle renewal and failure without breaking the workload. This is the operational difference between storing secrets and governing them. The latter requires integration with CI/CD, certificate authorities, and monitoring systems.
Practical implication: move secret handling into CI/CD and runtime workflows instead of distributing credentials by hand.
Threat narrative
Attacker objective: The attacker aims to use a machine credential as a durable foothold for unauthorized system access, lateral movement, or data theft.
- Entry begins when an unmanaged or outdated machine identity credential is exposed or reused in a cloud workload, pipeline, or service account context.
- Credential access follows when the attacker uses that secret, token, API key, or certificate to authenticate as the workload.
- Escalation occurs when the credential has excessive scope, allowing lateral movement, data access, or administrative actions beyond the original service need.
- Impact lands as breach, service disruption, or compliance failure because the identity remained active after its business purpose had ended.
Breaches seen in the wild
- Microsoft Midnight Blizzard breach: Midnight Blizzard (APT29) exploited legacy test account without MFA to breach Microsoft.
- Dropbox Sign breach 2024: A compromised back-end service account gave attackers Dropbox Sign customer data, including API keys, OAuth tokens and MFA information.
Read and download The State of NHI & AI Agent Breach Report 2026, covering 150+ breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
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.
Long-lived secrets create identity blast radius that human IAM controls do not measure well. Human-centric assumptions such as periodic review and session-bound authentication break down when a certificate or API key can survive for months and be reused silently. That means blast radius is determined less by whether a secret exists than by how long it persists, where it can authenticate, and whether it can be revoked cleanly. The implication is that machine identity risk must be measured by lifetime, scope, and revocability together.
Least privilege for NHIs is only meaningful when paired with ownership and lifecycle enforcement. The article shows that over-permissioned service accounts are not merely misconfigured; they are unmanaged authorities that outlive the teams and services that created them. Zero Trust and zero standing privilege help, but only if every NHI has a clear owner and a revocation path. Practitioners should treat orphaned access as a governance failure, not just a security hygiene issue.
Secretless authentication marks a useful direction, but it does not remove the need for identity governance. Even when static secrets are reduced, machine identities still need proof of origin, scope control, monitoring, and offboarding. The governance challenge shifts from protecting a secret to proving that the workload is still legitimate and still entitled to act. That is why lifecycle control remains central even in more modern authentication designs.
Machine identity sprawl is now inseparable from cloud and agentic AI governance. The article’s mention of autonomous systems matters because AI-driven services will inherit the same lifecycle weaknesses if teams keep treating credentials as static infrastructure details. The consequence is that identity governance must expand beyond human users to include every workload that can request, hold, or reuse privilege. Practitioners should align NHI controls with cloud and AI operating models at the same time.
From our research library:
- 1 in every 1,000 non-human identities in enterprise environments is more than 10 years old.
- Read next: Ultimate Guide to NHIs
What this signals
Identity programmes that still optimise for human users will miss the fastest-growing part of the access estate. The practical shift is from credential administration to lifecycle governance, where issuance, rotation, and offboarding must be treated as one control loop rather than separate tasks. For teams running cloud and CI/CD platforms, that means ownership, expiry, and revocation need to be designed into the workload path itself.
Machine identity sprawl is a governance signal, not just an inventory problem. When service accounts, certificates, and API keys proliferate without clear owners, the control failure is accountability as much as visibility. The programme question becomes whether the organisation can prove who can revoke a credential, not merely whether it can find one.
Machine identity blast radius is what teams need to measure next. If a workload credential can reach too many systems or live too long, the resulting risk is harder to detect than a human login anomaly. That is why NHI control design must focus on scope, lifetime, and revocability together.
For practitioners
- 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.
- Embed secrets handling into delivery pipelines Inject credentials at runtime through controlled pipeline and deployment processes instead of hardcoding them into applications, scripts, or configuration files.
- Tie NHI ownership to offboarding Make revocation a formal part of service decommissioning so credentials are disabled when systems, vendors, or environments are retired.
Key takeaways
- 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.
- The evidence in the article points to a much larger machine identity estate, with long-lived credentials and over-permissioned service accounts creating the main exposure.
- The most effective response is to inventory NHIs, enforce lifecycle controls, and remove standing privilege from workloads before sprawl becomes the default state.
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 and MITRE ATT&CK address the attack and risk surface, while NIST Zero Trust (SP 800-207), NIST CSF 2.0 and NIST SP 800-53 Rev 5 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 — Improper Offboarding | The article repeatedly stresses revocation and decommissioning gaps for machine identities. |
| NHI-02 — Secret Leakage | Embedded secrets and exposed credentials are a core risk in the article's lifecycle discussion. | |
| NHI-05 — Overprivileged NHI | The article highlights service accounts and workloads with permissions broader than their task requires. | |
| Recommendation — Enforce offboarding workflows that revoke machine credentials when services, vendors, or environments retire. Scan code, pipelines, and configs for leaked secrets and remove exposed machine credentials immediately. Reduce machine identity scope to task-level permissions and remove unnecessary standing access. | ||
| NIST Zero Trust (SP 800-207) | Least privilege and continuous verification | The article links machine identity security directly to Zero Trust and least privilege principles. |
| Recommendation — Apply continuous verification and least-privilege policies to workload identities and service accounts. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article is fundamentally about governing machine access scope and authorization boundaries. |
| Recommendation — Review and constrain machine entitlements so workloads hold only the permissions they truly need. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | The article centres on issuing, rotating, and revoking machine authenticators across their lifecycle. |
| Recommendation — Manage authenticators for NHIs with enforced rotation, revocation, and lifecycle tracking. | ||
| MITRE ATT&CK | TA0006;TA0008 — Credential Access; Lateral Movement | The attack pattern described is credential exposure followed by reuse and spread through connected systems. |
| Recommendation — Map exposed machine credentials to credential-access and lateral-movement detections in your threat models. | ||
Key terms
- Machine Identity Management: Machine Identity Management is the discipline of discovering, issuing, securing, rotating, and retiring digital identities used by machines and software. It covers certificates, keys, tokens, secrets, and workload credentials, with controls for lifecycle, ownership, authentication, authorization, and auditability across cloud, application, endpoint, and infrastructure environments.
- Standing Privilege: Standing privilege is access that remains active even when no immediate task requires it. For NHI programmes, it is a common failure mode because long-lived credentials and persistent roles create unnecessary exposure. Reducing standing privilege usually means tighter expiry, on-demand access, and clearer review of who or what still needs access.
- Secretless Authentication: Secretless authentication is a pattern that keeps long-lived credentials out of application code and runtime memory wherever possible. Instead of exposing secrets directly to workloads, the access path mediates credential delivery at connection time, reducing the chance that stolen configuration or code reveals reusable access.
- Machine identity lifecycle: Machine identity lifecycle is the full governance process for a non-human identity from creation to retirement. It includes provisioning, access scoping, rotation, renewal, offboarding, and auditability, and it fails when any one of those steps is handled manually or inconsistently.
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
Deepen your knowledge
NHI governance, agentic AI identity, and machine identity lifecycle are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building or maturing an IAM programme, it is worth exploring.
Published by the NHIMG editorial team on August 17, 2026.
Updated on October 7, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org