Security teams should shift from static, siloed access reviews to risk-driven governance that can evaluate entitlements across many applications and identity types. The model needs automation, cross-application visibility, and auditability so teams can spot excessive access faster, reduce review fatigue, and keep controls aligned to business-critical systems as the environment grows.
Why This Matters for Security Teams
Once identity and application counts outgrow traditional IGA, the problem is no longer just periodic access certification. Security teams need a governance model that can handle heterogeneous identities, entitlements that change quickly, and business services that span cloud, SaaS, and automation pipelines. Static review cycles and siloed spreadsheets miss the reality that access risk now concentrates in non-human identities, service accounts, and machine-to-machine permissions.
That gap is visible in current research. NHI Management Group’s Ultimate Guide to NHIs reports that NHIs outnumber human identities by 25x to 50x in modern enterprises, which makes manual governance structurally unscalable. The issue is not only volume but also ambiguity: entitlement owners, business context, and revocation triggers are often unclear when an account is tied to an app, a pipeline, or a vendor integration. Security teams should align governance with the NIST Cybersecurity Framework 2.0 and treat access as a continuous control problem rather than a quarterly checkbox.
In practice, many security teams encounter excessive access only after a service account or integration has already been reused across systems and inherited privileges that nobody can fully explain.
How It Works in Practice
Governance at scale starts with moving from identity-centric review to entitlement-centric risk analysis. Instead of asking whether a user or account exists in the right group, teams ask whether the privilege is still needed, who depends on it, what system it can reach, and how quickly it can be revoked. That requires cross-application visibility, normalized entitlement data, and a clear inventory of human and non-human identities.
A practical model uses automated discovery to build a control plane over access. Security and IGA teams typically combine connectors for SaaS, cloud, directories, and key management systems with policy rules that rank access by criticality. Reviews then focus on the highest-risk items first: privileged roles, dormant accounts, externally shared access, and secrets that persist beyond their intended use. The OWASP Non-Human Identity Top 10 is useful here because it frames the kinds of machine identities that commonly escape conventional governance.
- Discover all identities and entitlements across business-critical systems before assigning review ownership.
- Classify access by risk, not just by role, application, or directory group.
- Automate evidence collection so reviewers can see last use, owner, expiry, and downstream dependencies.
- Use exception workflows for temporary business needs, but require expiry and revalidation.
- Revoke or reduce access immediately when ownership is unclear, usage is dormant, or a system is decommissioned.
NHIMG’s Lifecycle Processes for Managing NHIs emphasizes that revocation and rotation need to be built into lifecycle controls, not handled as ad hoc cleanup. This is where auditability matters: teams need to show not only who approved access, but why the access remained in place, what signals were used to keep it, and when it was last validated. These controls tend to break down when entitlements are spread across legacy systems and SaaS apps that do not expose consistent ownership or usage telemetry.
Common Variations and Edge Cases
Tighter governance often increases operational overhead, requiring organisations to balance review depth against business speed. That tradeoff becomes especially visible in environments with thousands of applications, merger-driven directory sprawl, or heavy use of third-party integrations. Current guidance suggests that the answer is not to broaden manual certification, but to narrow human review to the risks automation cannot reliably resolve.
There is no universal standard for this yet, but best practice is evolving toward risk-based segmentation. High-impact systems such as finance, production infrastructure, and customer data platforms deserve frequent review and stronger approval thresholds, while low-risk entitlements can often be validated through automated policy checks and usage-based attestation. The challenge is that business context changes faster than traditional recertification calendars, so governance must accommodate continuous change.
NHIMG’s Regulatory and Audit Perspectives is a useful reminder that auditors care less about how many reviews were completed and more about whether the control produced a defensible outcome. For teams dealing with vendor access, ephemeral workloads, or delegated admin patterns, the practical solution is often a split model: automated enforcement for routine access, and escalated human review only for exceptions, privileged changes, and high-risk business systems.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on August 26, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
