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Governance, Ownership & Risk

Who is accountable for proving CMMC network controls actually work?

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By NHI Mgmt Group Editorial Team Updated July 11, 2026 Domain: Governance, Ownership & Risk

Accountability usually sits with the security architect, compliance lead, and the team that owns enforcement policy, not just the network team. They must show that least privilege, deny-by-default, and logging are operational, not theoretical. If exceptions exist, they need ownership, expiry, and review evidence.

Why This Matters for Security Teams

CMMC evidence is not just a paperwork exercise. Auditors want proof that network controls are designed, enforced, and monitored in day-to-day operations, with clear ownership for exceptions and remediation. That means the accountable party is usually the security architect or compliance lead, working with the team that owns enforcement policy, not a network engineer holding a configuration snapshot. NIST SP 800-53 Rev 5 Security and Privacy Controls provides the control basis, while NIST SP 800-207 Zero Trust Architecture reinforces that access must be continuously evaluated, not assumed once.

The real issue is that network controls often look compliant in diagrams but fail under actual change, drift, and exception handling. In NHIMG research, only 5.7% of organisations report full visibility into their service accounts, which is a warning sign because hidden identities and unmanaged paths undermine network enforcement as surely as missing firewall rules do. The practical burden is proving deny-by-default, least privilege, and logging are operating as intended, with evidence that someone can answer for failures before an assessor finds them. In practice, many security teams encounter control gaps only after an audit request or incident has already exposed them, rather than through intentional validation.

How It Works in Practice

Accountability is strongest when it is assigned to the person who can prove control design, enforcement, and evidence collection across the full control path. That usually means the security architect defines the control objective, the compliance lead translates it into CMMC evidence requirements, and the policy owner demonstrates that the rule set is actually enforced. The network team may implement firewalls, segmentation, and ACLs, but they are rarely the sole owner of control truth.

In practice, proving that controls work requires three layers of evidence:

  • Design evidence: documented rules, zone boundaries, and approved exceptions.
  • Operational evidence: logs, change records, and test results showing deny-by-default and least privilege are active.
  • Review evidence: periodic recertification, exception expiry, and corrective actions with named owners.

This aligns with the control intent described in NIST SP 800-53 Rev 5 Security and Privacy Controls, where controls must be implemented, assessed, and maintained, not merely documented. It also maps cleanly to the NHI governance posture in Ultimate Guide to NHIs — Standards, which highlights how visibility and lifecycle discipline underpin real enforcement. For network controls, the same logic applies: the owner of the policy must be able to show that access paths are constrained, monitored, and revoked when the business justification ends.

Current best practice is to attach each exception to a named approver, an expiry date, and a review event, then verify the exception is removed or re-authorized on schedule. These controls tend to break down in fast-moving environments with infrastructure-as-code pipelines and outsourced operations because drift can outpace review cycles and evidence becomes fragmented across teams.

Common Variations and Edge Cases

Tighter accountability often increases coordination overhead, requiring organisations to balance audit readiness against operational speed. That tradeoff is most visible when cloud networking, managed services, or shared responsibility models blur who actually owns the enforcement point.

There is no universal standard for this yet, but current guidance suggests the accountable role should always be the one with authority to approve, change, and attest to the control, even if implementation is delegated. For example, a platform team may run the tooling, while the security function owns the policy outcome and evidence package. In highly segmented environments, the control owner may also need help from application owners to demonstrate that business exceptions are both justified and time-bound.

Two edge cases matter most. First, if third-party integrators manage network devices, accountability still stays with the internal control owner because CMMC expects evidence, not vendor trust. Second, if the control is enforced indirectly through cloud security groups, service mesh policy, or identity-aware proxies, the assessment focus shifts from device configuration to whether the policy actually blocks unauthorized traffic. NHIMG notes that 90% of IT leaders see proper NHI management as essential to zero trust, which is relevant here because identity-driven network enforcement only works when identities, rules, and logs are all attributable.

When the evidence trail is split across tickets, SIEM alerts, and ad hoc approvals, the control may exist technically but still fail the accountability test.

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 CSA MAESTRO address the attack and risk surface, while NIST CSF 2.0, NIST Zero Trust (SP 800-207) and NIST AI RMF set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
NIST CSF 2.0PR.AC-4Network access must be restricted and proven through operational evidence.
NIST Zero Trust (SP 800-207)3.1Zero Trust requires continuous verification, which supports proof of working controls.
OWASP Non-Human Identity Top 10NHI-02Hidden or unmanaged NHIs can undermine network enforcement and evidence quality.
CSA MAESTROAgentic and workload-driven controls need clear ownership and runtime enforcement proof.
NIST AI RMFGOVERNAccountability for control performance sits in governance, not only implementation.

Assign an owner for access enforcement and verify least-privilege network rules with logged test evidence.

NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on July 11, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org