Accountability sits with the control owner, not just the assessor or security team. CMMC expects organisations to maintain operating evidence over time, which means leaders for identity, infrastructure, and incident response must each own the artefacts that prove their controls are working.
Why This Matters for Security Teams
Incomplete CMMC evidence is rarely just a documentation problem. It usually means a control is either not operating consistently or no one can prove who owns the artefacts that demonstrate it. That matters because CMMC assessments are evidence-driven, and gaps in proof can delay certification even when teams believe the control itself is “basically working.” NIST’s NIST Cybersecurity Framework 2.0 reinforces that outcomes depend on accountable execution, not informal assurances.
For identity-heavy environments, the problem is often deeper than the control owner’s folder of screenshots. Non-human identities, service accounts, and API keys can drift faster than teams review them, which makes durable evidence essential. NHI Mgmt Group notes that the Ultimate Guide to NHIs reports only 5.7% of organisations have full visibility into their service accounts, and 79% have experienced secrets leaks. In practice, many security teams discover evidence gaps only after an assessor asks for operating proof, rather than through intentional control validation.
How It Works in Practice
Accountability for incomplete evidence should follow the control, the system, and the operational process together. The assessor may identify the gap, but the organisation remains responsible for maintaining evidence that the control is designed, implemented, and operating effectively. In practical terms, that means the control owner must be able to produce current logs, configuration snapshots, ticket history, approval records, and exception handling evidence without scrambling after the fact.
For CMMC-relevant domains, this usually requires three layers of ownership:
Control owner: accountable for the evidence package and its ongoing completeness.
System or platform owner: accountable for technical artefacts, such as logs, baselines, and access records.
Governance lead: accountable for review cadence, exceptions, and escalation when evidence is missing.
This is especially important where identity controls depend on non-human identities. NHI governance is not a one-time checklist; evidence must show provisioning, rotation, revocation, and review over time. NHI Mgmt Group’s Ultimate Guide to NHIs — Standards is useful here because it frames lifecycle controls as operational obligations, not theory. A useful supporting signal is the JetBrains GitHub plugin token exposure research, which illustrates how exposed secrets become evidence failures long before they become formal audit findings.
Strong teams build evidence continuously: policy-as-code where possible, immutable logs where required, and named owners for each control family. That is more durable than manual evidence hunts and aligns better with frameworks such as the NIST Cybersecurity Framework 2.0. These controls tend to break down when evidence is spread across unmanaged service accounts, ad hoc scripts, and disconnected ticketing systems because no single owner can reconstruct the operating state quickly.
Common Variations and Edge Cases
Tighter evidence governance often increases administrative overhead, requiring organisations to balance audit readiness against engineering speed. That tradeoff becomes sharper when multiple teams share one control, such as central IAM, cloud platform engineering, and application owners all contributing to the same requirement.
There is no universal standard for this yet, but current guidance suggests the accountable party should be the person or function with authority to correct the control, not merely the one who assembled the evidence. In a shared-services model, the security team may curate the evidence repository, while the infrastructure or application owner remains accountable for the underlying control operation. In outsourced or MSSP-supported environments, accountability still sits with the customer organisation unless a formal delegation model says otherwise.
Edge cases usually involve incomplete evidence caused by system limitations rather than negligence. For example, legacy platforms may not retain enough logs, or cloud-native teams may rely on ephemeral workloads that require different proof patterns. In those cases, the right response is to document the gap, assign a remediation owner, and define compensating evidence until the control can be modernised. Best practice is evolving, but the core expectation remains the same: if the organisation cannot show operating evidence, the control is not yet demonstrably complete.
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 address the attack and risk surface, while NIST CSF 2.0 and NIST CSF 2.0 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.OC-01 | Accountability must be assigned for evidence ownership and control outcomes. |
| NIST CSF 2.0 | DE.CM-01 | Incomplete evidence often means monitoring artifacts are missing or not retained. |
| OWASP Non-Human Identity Top 10 | NHI-05 | NHI lifecycle evidence is often the missing proof behind control completeness. |
Name a control owner for each CMMC evidence set and verify they can produce operating proof on demand.
Related resources from NHI Mgmt Group
- Who is accountable for access control evidence under SOC and SOX?
- Who is accountable when SOX access control evidence is incomplete?
- Why do AI systems complicate CMMC evidence even when controls already exist?
- Who is accountable when an incomplete library patch leaves wrapper bypass risk in production?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on June 12, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org