Accountability should sit with the organisation that owns the system and its control environment, not with any single tool or vendor. Security, infrastructure, compliance, and operations teams each need explicit responsibilities for certificate issuance, rotation, revocation, logging, and evidence collection. Clear ownership is essential because CMMC evaluates whether controls are actually operating, not just documented.
Why This Matters for Security Teams
CMMC readiness becomes difficult when machine identity responsibilities are split across infrastructure, security, compliance, and platform teams without a single control owner. The risk is not just missed paperwork. Certificate issuance, rotation, revocation, logging, and evidence collection all have to work together, and CMMC expects controls to operate consistently under review. NHIMG research shows that 59% of organisations face greater difficulty auditing machine identities because of lack of clear ownership and limited visibility in the lifecycle.
That pattern shows up repeatedly in machine identity programmes that look mature on slides but fail in practice. When ownership is blurred, teams assume another group is handling expiry monitoring, revocation, or audit trails, and gaps surface only during assessment or after an outage. Guidance from NIST SP 800-53 Rev 5 Security and Privacy Controls reinforces that control execution must be demonstrable, not implied. The same operational reality is reflected in Ultimate Guide to NHIs, where visibility and revocation failures are recurring causes of exposure.
In practice, many security teams encounter machine identity control failures only after evidence collection starts or a certificate expires, rather than through intentional governance.
How It Works in Practice
The right accountability model is shared execution with one named control owner. The organisation that owns the system owns the control environment, but each team needs a defined slice of the lifecycle. Security usually sets policy, compliance defines evidence requirements, infrastructure operates the platforms that issue and store certificates, and application or operations teams own the services that consume them. Without that split, no one can prove the control is functioning end to end.
For CMMC, this means the team responsible for the asset must be able to answer four questions quickly: who issued the machine identity, who approved it, who can revoke it, and where the evidence lives. A practical control design normally includes:
- a single inventory of machine identities and certificate locations
- documented ownership for each environment, service, and exception
- rotation and revocation workflows with timestamps and approval records
- centralised logging that ties identity events to the protected system
- retention of evidence that maps the workflow to CMMC assessment needs
NHIMG’s Critical Gaps in Machine Identity Management report notes that only 38% have automated certificate lifecycle management, which helps explain why many programmes still depend on manual handoffs. That is where policy and operation diverge. A platform can generate a certificate, but if revocation depends on a separate ticket queue and no one reconciles logs, the control fails under scrutiny. NIST’s control baseline is useful here because it forces teams to show measurable operation, not just intent. These controls tend to break down in distributed environments with shared services, contractor-managed platforms, or multiple certificate authorities because ownership and evidence paths become fragmented.
Common Variations and Edge Cases
Tighter accountability often increases coordination overhead, requiring organisations to balance auditability against delivery speed. That tradeoff becomes more visible in hybrid environments, managed services, and DevOps-heavy teams where machine identities are created and retired at high velocity.
There is no universal standard for who must run every step, but current guidance suggests the accountable owner should be the system owner, with delegated operational duties clearly assigned. In regulated environments, it is not enough for security to “oversight” the process while platform teams manage certificates informally. The assessor will look for evidence that someone can trace each control from issuance to revocation to log retention. The Ultimate Guide to NHIs highlights how widespread visibility gaps are, and that matters because unclear ownership usually produces incomplete inventories and weak offboarding.
Edge cases include outsourced infrastructure, ephemeral workloads, and cross-domain certificates issued by external parties. In those cases, the organisation still owns the control outcome even if a vendor performs part of the process. Best practice is evolving toward explicit control mapping, named evidence custodians, and periodic reconciliation between service owners and compliance. In practice, assessments fail when teams cannot prove who approved revocation exceptions or where certificate evidence was stored after a service was decommissioned.
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, OWASP Agentic AI Top 10 and CSA MAESTRO address the attack and risk surface, while NIST CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 | Covers machine identity ownership and lifecycle control gaps. |
| OWASP Agentic AI Top 10 | Relevant where automated workflows and agents handle identity operations. | |
| CSA MAESTRO | GOV-03 | Addresses governance and accountability across agentic and automated control flows. |
| NIST CSF 2.0 | ID.AM-1 | Asset inventory is foundational to proving machine identity ownership. |
| NIST AI RMF | GOVERN | Governance requires clear accountability for automated identity-related risk. |
Define control ownership, escalation paths, and evidence handling for each automated identity process.
Related resources from NHI Mgmt Group
- Who is accountable when workforce identity controls are modernised across both internal teams and client-facing services?
- Who is accountable for identity governance outcomes when a global rollout spans multiple regions and teams?
- Who should be accountable for access governance when enterprises use a partner to implement identity controls?
- Who is accountable when authentication settings, fraud controls, or identity provider connections are misconfigured in production?
