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Governance, Ownership & Risk

What breaks when SAM visibility does not include app users and owners?

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By NHI Mgmt Group Editorial Team Updated June 9, 2026 Domain: Governance, Ownership & Risk

When SAM visibility excludes users and owners, the organisation can count software but cannot govern it. That gap breaks offboarding, recertification, and risk prioritisation because no one can tell which identities still depend on an application, whether the access is justified, or who should approve its removal.

Why This Matters for Security Teams

SAM that stops at license counts creates a false sense of control. Security teams need to know not only what software exists, but which app users, owners, and business approvers depend on it, because those relationships drive offboarding, access reviews, and risk decisions. Without that context, a decommissioned app can leave behind live service access, orphaned entitlements, and unowned exceptions that keep accumulating risk.

This is where software asset management overlaps with identity governance and NHI governance. The NIST Cybersecurity Framework 2.0 emphasizes governance and asset visibility, but practitioners still have to connect the software record to the identities that actually use and approve it. NHI Management Group’s Ultimate Guide to NHIs — Key Challenges and Risks shows why this matters in practice: only 5.7% of organisations have full visibility into their service accounts. In practice, many security teams discover the missing owner only after an access review stalls or an offboarding ticket exposes dependencies that no system of record captured.

How It Works in Practice

Effective SAM visibility needs to include both human and non-human relationships. The software inventory should answer four questions at minimum: who uses the application, who owns it, who approves access changes, and what NHIs or integrations depend on it. That means mapping app users, application owners, service accounts, API keys, and downstream integrations into a single governance record rather than treating them as separate tools or teams.

Operationally, this usually requires joining data from IAM, SSO, CMDB, ticketing, and secrets management. The goal is not perfect centralisation, but enough signal to support lifecycle controls. A useful pattern is to link each application to:

  • a business owner who can accept or reject residual risk,
  • technical owners who can remove integrations safely,
  • named users or role groups that justify human access, and
  • all NHIs that authenticate to the app or its APIs.

That mapping becomes critical during offboarding. If an employee leaves, the organisation needs to know whether they owned the app, approved access, or were the only person who understood a dependent automation. It also supports recertification, because reviewers can verify whether access is still justified by business use rather than by historical entitlement. NHI Management Group’s NHI Lifecycle Management Guide reinforces the same lifecycle principle for machine identities: visibility is only useful when it drives rotation, revocation, and ownership decisions. Current guidance suggests that the most effective programmes treat app ownership as a control point, not just a directory field.

These controls tend to break down in federated enterprises where SaaS admins, platform teams, and business units each maintain partial records and no one reconciles them before access reviews or decommissioning work starts.

Common Variations and Edge Cases

Tighter ownership tracking often increases administrative overhead, requiring organisations to balance governance accuracy against the effort needed to keep records current. That tradeoff is real, especially when applications are shared across regions, acquired entities, or outsourced operations.

There is no universal standard for how to model app users and owners yet. Some organisations define a single accountable owner, while others split ownership into business, technical, and security roles. Best practice is evolving, but the rule is consistent: if no one can approve removal, validate continued use, or accept residual risk, the record is incomplete.

Edge cases matter. Shared mailboxes, generic admin accounts, contractor access, and automation accounts often sit outside normal SAM workflows, even though they create the most persistent risk. This is especially true when application ownership changes after mergers or when legacy systems lack a clean upstream identity source. The Top 10 NHI Issues highlights the broader pattern: identity sprawl is rarely a tooling problem alone, it is a lifecycle and accountability problem. Security teams should treat missing users and owners as a governance defect, not a reporting gap, because unowned software is usually the first place dormant access survives.

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 AI RMF set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
NIST CSF 2.0ID.AM-01Asset visibility is incomplete without user and owner context.
OWASP Non-Human Identity Top 10NHI-01Orphaned app access often leaves NHIs ungoverned.
NIST AI RMFGovernance requires accountability for the identities behind automated access.

Define accountable owners and review processes for any automated or non-human access path.

NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on June 9, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org