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Governance, Ownership & Risk

How should growing companies reduce identity risk as they add more tools and teams?

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By NHI Mgmt Group Editorial Team Updated June 23, 2026 Domain: Governance, Ownership & Risk

They should centralise identity inventory, automate lifecycle events, and enforce consistent MFA and least-privilege controls across humans and machine identities. Growth makes fragmented governance fail faster, so the priority is not adding more ad hoc controls. It is building one identity operating model that can absorb new systems without creating invisible access paths.

Why This Matters for Security Teams

As companies add SaaS platforms, CI/CD pipelines, and specialist teams, identity sprawl usually grows faster than governance. The result is not just more accounts, but more service identities, API keys, automation tokens, and forgotten privileges that sit outside normal review cycles. NHI Management Group research shows that only 5.7% of organisations have full visibility into their service accounts, while 97% of NHIs carry excessive privileges, which makes growth a direct identity-risk multiplier. Ultimate Guide to NHIs and the NIST Cybersecurity Framework 2.0 both point toward the same operational reality: inventory and least privilege have to scale together, or controls fragment as teams move faster.

What practitioners often miss is that new tools do not just add new logins. They create new trust paths between humans, workloads, and third parties, and those paths are usually wired together long before anyone updates policy. In practice, many security teams encounter standing access and stale secrets only after a new integration, acquisition, or engineering launch has already widened the blast radius.

How It Works in Practice

The most reliable way to reduce identity risk during growth is to treat identity as an operating model, not a one-time setup. That means maintaining one authoritative inventory for humans and NHIs, tying every identity to an owner, and automating joiner-mover-leaver workflows so access changes happen when teams, vendors, or systems change. This aligns with current guidance in the Ultimate Guide to NHIs — Key Challenges and Risks and with the asset and access discipline in NIST Cybersecurity Framework 2.0.

  • Centralise identity inventory across HR, directory services, cloud IAM, CI/CD, and secrets stores.
  • Classify each identity as human, service account, workload identity, or third-party integration.
  • Automate provisioning, deprovisioning, and rotation for secrets and tokens, especially after team changes.
  • Enforce consistent MFA for humans and strong authentication patterns for machine identities where supported.
  • Apply least privilege by default and review exceptions on a fixed cadence, not only during incidents.

For machine identities, the practical goal is to reduce long-lived static credentials and replace them with short-lived, scoped access wherever possible. That is especially important when engineering teams create new pipelines or deploy new tooling, because those environments tend to accumulate secrets in code, configuration files, and shared automation. The Top 10 NHI Issues highlights how quickly overprivilege and weak rotation become systemic once teams scale faster than control ownership. These controls tend to break down when each team manages its own identity tooling because policy drift makes access reviews incomplete and revocation unreliable.

Common Variations and Edge Cases

Tighter identity control often increases rollout friction, requiring organisations to balance speed against governance overhead. That tradeoff is especially visible in startups, mergers, and engineering-heavy firms where teams value autonomy and move faster than central IT. Best practice is evolving, but there is no universal standard for this yet: some environments can standardise quickly on one IAM stack, while others must federate across several platforms and accept a phased cleanup model.

Edge cases matter. Shared service accounts may still exist in legacy systems, but they should be treated as exceptions with compensating controls, not as the default pattern. Vendor integrations can also create blind spots because external tools may authenticate through tokens that are rarely reviewed. In those cases, current guidance suggests pairing inventory with compensating controls such as token expiry, scoped permissions, and owner attestation. The broader pattern is consistent with NHI breach research in the 52 NHI Breaches Analysis: fragmented identity governance turns routine growth into avoidable exposure.

For companies adding tools and teams quickly, the right question is not how many controls exist, but whether every new identity is visible, owned, and removable on demand.

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 2.0PR.AC-1Identity inventory and access control are central to reducing sprawl.
OWASP Non-Human Identity Top 10NHI-03Covers weak lifecycle management of non-human identities and secrets.
NIST AI RMFUseful where growth includes AI-enabled automation and agentic workloads.

Establish governance so AI-driven identities and tool access remain auditable and accountable.

NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on June 23, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org