Teams often treat machine identity management as an operational afterthought, which leads to inconsistent policies, unclear ownership, and uneven tooling decisions. They also struggle to keep guidance current as protocols and technologies change. Without a formal group, questions get answered differently by different teams, and the organisation loses the standardised process needed to manage machine identities at scale.
Where the governance failure usually starts
The main mistake is treating machine identity governance as a collection of ad hoc technical tasks instead of a shared operating model. That shifts decisions about naming, ownership, lifecycle, and exception handling into whichever team happens to be closest to the issue, which almost always produces drift. Teams then optimise for local convenience rather than a consistent standard.
Without a formal working group, the organisation usually loses the ability to define one baseline for provisioning, rotation, review, and retirement. That matters because machine identities are not a single asset class, they span service accounts, certificates, tokens, API keys, and workload credentials, and each team may manage them differently unless someone standardises the rules.
A useful reference point is the broader NHI lifecycle model in Ultimate Guide to NHIs, which shows why identity ownership and lifecycle controls have to be coordinated rather than assumed.
Why policies diverge without a formal forum
When there is no working group, policy decisions get made in fragments. One team may require short-lived credentials, another may accept long-lived secrets, and a third may only think about access when a system breaks. The result is not just inconsistency, but a policy surface that changes by platform, protocol, or team culture.
That inconsistency becomes more obvious as technologies evolve. Machine identity guidance has to keep pace with changing auth patterns, new cloud services, and shifts in how teams automate access. If no group owns the standard, guidance becomes stale and teams fall back to whatever pattern they can implement fastest.
This is why governance discussions need to stay tied to the actual machine identity mechanisms in use, not just to generic access policy. Resources like Guide to NHI Rotation Challenges and Machine-to-Machine Identity Maturity Model help frame the lifecycle and scaling issues that a working group is supposed to normalise.
What breaks at scale when ownership is unclear
The practical failure is not usually that teams ignore machine identities altogether. It is that no one owns the standards for discovery, approval, exception handling, and cleanup. That creates orphaned credentials, duplicated patterns, and unclear accountability when an identity is overused, misconfigured, or left in place after a system changes.
At scale, that lack of ownership also weakens auditability. If nobody can say which team approved a credential, why it exists, when it should expire, or who must remove it, then the organisation cannot reliably answer basic governance questions. The problem compounds across environments because machine identities often cross application, infrastructure, and cloud boundaries.
For practitioners, the better model is to treat machine identity governance as a shared control plane, not a one-off remediation project. The broader failure modes are well documented in Top 10 NHI Issues and The Critical Gaps in Machine Identity Management report, especially around inventory, ownership, rotation, and excessive permissions.
Risk and Threat Considerations
When machine identities are governed informally, the main risk is not just inconsistency, it is accumulated exposure. Weak ownership and uneven policy enforcement make it easier for long-lived credentials, excess privilege, and forgotten identities to persist, which expands the blast radius of compromise and makes lateral movement easier to sustain.
Failure mechanism: Inconsistent standards let different teams create and keep credentials in different ways, so stale, overprivileged, or undocumented machine identities remain active long after their original purpose has changed.
Impact: Attackers and accidental misuse both benefit from that sprawl, because compromised machine credential can unlock services, move between environments, or expose sensitive systems without a clear owner noticing quickly enough.
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 addresses the attack surface, NIST SP 800-53 Rev 5 and CIS Controls v8 set the technical controls, and ISO/IEC 27001:2022 defines the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 — Improper Offboarding | Unowned machine identities linger when governance is informal. |
| NHI-02 — Secret Leakage | Ad hoc processes increase the chance that machine secrets are handled inconsistently. | |
| NHI-05 — Overprivileged NHI | Uneven team decisions often leave machine identities with excess access. | |
| Recommendation — Define retirement ownership so expired machine identities are removed on time. Standardise secret handling to reduce accidental exposure. Review and trim machine identity privileges against least privilege. | ||
| NIST SP 800-53 Rev 5 | AC-2 — Account Management | Machine identities need formal lifecycle ownership and control. |
| IA-5 — Authenticator Management | The question concerns inconsistent handling of machine credentials and secrets. | |
| AC-6 — Least Privilege | Teams often allow machine identities more access than necessary. | |
| Recommendation — Track machine identities through creation, review, and removal. Manage machine authenticators with defined issuance, rotation, and revocation rules. Constrain machine identities to the minimum required access. | ||
| ISO/IEC 27001:2022 | A.5.15 — Access control | Formal governance is needed to keep machine identity access consistent. |
| A.8.2 — Privileged access rights | Machine identities often carry elevated access that needs centralized oversight. | |
| Recommendation — Set access rules that apply consistently across teams and platforms. Review privileged machine access regularly and remove excess rights. | ||
| CIS Controls v8 | CIS-5 — Account Management | The issue is weak ownership and inconsistent management of machine identities. |
| Recommendation — Centralise account governance so machine identities are inventoried and reviewed. | ||
Practitioner Guidance
What to prioritise: Establish one decision-making forum with explicit authority over naming, ownership, lifecycle rules, and exception handling before you try to standardise tools. Tooling without shared governance usually just automates inconsistency.
What to verify: Every machine identity should have a named owner, a stated purpose, an expiration or review rule, and a documented rotation or retirement path. If any of those four are missing, treat the identity as unmanaged until proven otherwise.
Practitioner takeaway: The real objective is not to centralise every technical action, it is to centralise the decisions that keep machine identity management consistent, current, and accountable across teams.
Related resources from NHI Mgmt Group
- What do teams get wrong when they try to govern AI agents without an inline enforcement layer?
- What do teams get wrong when they try to manage SaaS usage without a formal process?
- What do teams get wrong when they apply workforce IAM patterns to machine identities?
- What do security teams get wrong when they try to solve complex data security problems without enough team diversity?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 26, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
