Why do large environments need explicit governance for both human and non-human identities?

Why This Matters for Security Teams

Large environments fail on identity governance when human access and non-human identity access are managed as if they pose the same risk. Human access is easier to review through joins, moves, and leaves. NHIs are different: they are embedded in applications, pipelines, integrations, and automation, so they accumulate privileges quietly and can outlive the systems that created them. NIST Cybersecurity Framework 2.0 makes clear that identity is part of a broader governance and access control program, not a one-time admin task, and NHIMG research shows why that matters in practice: in the The State of Non-Human Identity Security report, only 1.5 out of 10 organisations are highly confident in securing NHIs.

That confidence gap is not just a tooling problem. It reflects a lifecycle problem. Secrets are copied into CI/CD, service accounts persist after projects end, OAuth grants remain active, and machine identities keep operating long after ownership has faded. The result is a fragmented control plane where accountability breaks down and access reviews miss the most exposed identities. NHI Management Group’s Top 10 NHI Issues and Ultimate Guide to NHIs — Regulatory and Audit Perspectives both show that the audit problem is usually not lack of policy, but lack of identity inventory, ownership, and enforcement. In practice, many security teams discover the gap only after a token or service account has already been used to move laterally or exfiltrate data.

How It Works in Practice

Explicit governance means treating human and non-human identities as separate classes with shared oversight, not identical control patterns. Humans still need joiner-mover-leaver workflows, MFA, session monitoring, and periodic entitlement review. NHIs need ownership, purpose, lifecycle, secret rotation, scoped trust, and automated revocation when the workload ends or changes. The Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs is useful here because lifecycle control is the practical bridge between policy and enforcement.

Security teams usually implement this in four layers:

• Inventory every identity, including service accounts, API keys, OAuth apps, certificates, and automation tokens.
• Assign an owner, business purpose, and expiry or review date to each identity.
• Enforce least privilege through role-based controls for humans and workload-scoped entitlements for NHIs.
• Automate secret rotation, detection of dormant credentials, and revocation when ownership or usage changes.

For humans, governance often centres on access approvals and attestations. For NHIs, the core issue is that the credential itself is the control plane, so secret sprawl becomes privilege sprawl. That is why the NIST Cybersecurity Framework 2.0 is best applied as a governance wrapper, while NHI-specific operational controls handle rotation, monitoring, and blast-radius reduction. Current guidance suggests that organisations should unify reporting and accountability, but keep identity classes separate in implementation so reviews do not blur machine access into human process. These controls tend to break down when identities are created dynamically in CI/CD and cloud-native automation because ownership, scope, and expiry are not consistently written back to a system of record.

Common Variations and Edge Cases

Tighter identity governance often increases administrative overhead, requiring organisations to balance stronger control against engineering speed and operational churn. That tradeoff is especially visible in high-velocity environments such as DevOps, data engineering, and third-party integrations, where short-lived workloads and frequent deployment changes can make manual review impractical. Best practice is evolving, but current guidance suggests using policy-as-code, automated discovery, and event-driven revocation rather than relying on periodic spreadsheet reviews.

Edge cases matter. Shared service accounts can obscure accountability if they are not paired with strong logging and workload-level attribution. Long-lived OAuth grants from vendors create persistent trust relationships that human access reviews often miss. Machine identities used across multiple environments may need separate scoping by environment, not just by application name. NHIMG research has documented real-world exposure patterns such as token leakage in the JetBrains GitHub plugin token exposure case and broader secret sprawl in Code Formatting Tools Credential Leaks. The practical lesson is simple: unified governance should not mean identical controls. It should mean one identity strategy with separate enforcement paths for people and workloads.

Related resources from NHI Mgmt Group

• How should security teams govern non-human identities in cloud environments?
• Why do non-human identities create audit risk in modern environments?
• Why do traditional IGA and PAM approaches struggle in cloud environments with non-human identities?
• Who should be accountable for cloud identity governance when both developers and non-human identities need access?