TL;DR: Identity governance maturity models are only meaningful when they measure how consistently access reviews, lifecycle automation, segregation of duties, and non-human identity controls operate across the enterprise, according to SecurEnds. The governance gap is no longer whether controls exist, but whether they scale across people, applications, and machine identities without relying on manual exception handling.
At a glance
What this is: This article explains how identity governance maturity depends on extending lifecycle, access review, and SoD controls to non-human identities, not just people.
Why it matters: IAM and IGA teams need this lens because maturity metrics and audit readiness are misleading if service accounts, workloads, and automation identities sit outside governance coverage.
Context
An identity governance maturity model is only useful when it measures how consistently governance controls work across the full identity estate. In modern enterprises, that estate includes human users, applications, workloads, service accounts, APIs, certificates, and AI-driven identities, so a narrow IGA programme can look mature while leaving major gaps.
The governance problem is not control presence alone. It is whether lifecycle automation, access reviews, segregation of duties, and least privilege are enforced with the same discipline across cloud, SaaS, and automated systems, where manual exception handling and fragmented ownership quickly erode maturity.
Key questions
Q: How should teams measure identity governance maturity across human and non-human identities?
A: Start by measuring whether access decisions are discoverable, reviewable, and revocable across the full identity lifecycle. Mature programmes can show who owns each identity, when it was last reviewed, and how quickly access is removed after need changes. If those steps differ by identity type, the governance model is not yet consistent.
Q: What breaks when service accounts and workloads are left out of IGA maturity scoring?
A: The score stops measuring governance effectiveness and starts measuring only human-account process coverage. Teams can pass audits on paper while machine identities remain unowned, overprivileged, or never reviewed, which leaves a hidden control gap in the most automated parts of the environment.
Q: What are the signs that identity governance is not working in practice?
A: Common warning signs are repeated access workarounds, ignored approval workflows, super admins holding too much power, and teams bypassing the process because it is too slow or hard to use. If access reviews are always behind, permissions stay stale, and IT has to chase owners for answers, governance is operating more as paperwork than control.
Q: Should organisations prioritise NHI discovery before automation?
A: Yes. Automation without discovery usually scales blind spots, because teams cannot protect what they have not found. Start by inventorying service accounts, tokens, certificates, and agent identities, then assign owners and classify privileges. Once visibility exists, automation can support rotation, revocation, and alerting instead of amplifying unknown access.
Technical breakdown
Why IGA maturity fails when NHI coverage is partial
Identity governance maturity is usually measured by the consistency of lifecycle management, access reviews, role management, and SoD enforcement. That logic works for people, but it becomes incomplete when service accounts, workloads, APIs, and certificates are not brought under the same control plane. Non-human identities often outnumber human identities and change faster than review cycles can track, which makes spreadsheet-style governance look more mature than it is. A programme that cannot inventory, own, and certify NHIs is measuring process coverage, not governance maturity.
Practical implication: extend maturity scoring to include every non-human identity type that can carry privilege, not just employee accounts.
How lifecycle automation changes identity governance maturity
Lifecycle automation is the difference between governance that scales and governance that depends on human memory. Joiner mover leaver workflows, deprovisioning, and entitlement updates are straightforward in principle, but they break down when ownership is unclear or when machine identities are created outside HR-led processes. In that environment, delayed revocation and dormant access are not edge cases, they are structural outcomes. Maturity improves when lifecycle state is authoritative, triggers are consistent, and offboarding applies to service accounts and workloads as deliberately as it does to employees.
Practical implication: treat non-human offboarding and ownership as maturity requirements, not supporting hygiene tasks.
Why access reviews and SoD need to be continuous for NHIs
Access reviews and segregation of duties controls are often designed around periodic human certification. That works poorly for non-human identities because their access is frequently service-linked, ephemeral in some cases, and hard to interpret through a business owner lens. If the review process cannot explain why a service account exists, what it owns, and whether its privileges still match the function it serves, the control becomes ceremonial. Continuous monitoring and role rationalisation matter because SoD violations and excessive entitlements in NHIs are often hidden inside platform defaults and automation sprawl.
Practical implication: move from periodic certification alone to continuous ownership, privilege, and SoD monitoring for machine identities.
Threat narrative
Attacker objective: The objective is to exploit unmanaged machine access paths that governance programmes failed to inventory, certify, or revoke.
- Entry begins when a non-human identity is created, connected, or left active without full ownership and governance coverage.
- Escalation occurs when that identity accumulates standing privilege, broad role assignments, or unmanaged entitlements across systems.
- Impact follows when excessive machine access creates audit exposure, delayed deprovisioning, and a wider attack surface for misuse or lateral movement.
Breaches seen in the wild
- Coupang Signing Key Breach: Unrevoked signing key credentials expose 33.7 million records after employee offboarding failure at Coupang.
- Salesloft OAuth token breach: hackers stole OAuth tokens to access Salesforce data via Salesloft.
Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.
NHI Mgmt Group analysis
Identity governance maturity is no longer a human-only measurement: A programme that scores well on access reviews and lifecycle automation but ignores non-human identities is overstating its own control effectiveness. Service accounts, APIs, workloads, and certificates are not edge assets anymore, they are part of the core identity estate. The practitioner conclusion is simple: maturity has to be measured across all identity types or it is only partial governance.
Non-human identity coverage is the new maturity boundary: The article correctly shifts the maturity question from control existence to control consistency. That is the right test because a governance programme can appear operationally sound while leaving its fastest-growing identities outside inventory, ownership, and certification. The practitioner implication is that IGA scorecards must include machine identity coverage as a first-class control dimension.
Lifecycle automation is only mature when it governs machine identities as deliberately as people: Joiner mover leaver processes, deprovisioning, and role change handling are often counted as maturity gains even when they do not reach service accounts or workload credentials. That creates a false sense of control completeness. The implication is that lifecycle discipline must be evaluated by revocation accuracy and ownership clarity across human and non-human identities alike.
Audit readiness and operational maturity are now the same conversation: If governance evidence cannot show who owns a machine identity, when it was last reviewed, and how its access was justified, the programme is not mature enough for modern cloud and SaaS environments. Continuous reporting is therefore not just a compliance feature, it is a structural requirement for identity governance at scale. Practitioners should treat reporting quality as a proxy for governance integrity.
Machine identity governance should be the named concept inside maturity models: The field needs a sharper term for the control gap between traditional IGA and modern identity estates. Machine identity governance is the maturity boundary that separates theoretical coverage from real operational control. The practitioner conclusion is that maturity programmes must explicitly name and score this domain rather than burying it inside generic access governance.
From our research library:
- Nearly 60% of IT leaders cite restrictive cost and complexity as a weakness of legacy identity governance, according to the 2025 State of Identity Governance Report.
What this signals
Machine identity governance is the maturity boundary: Identity programmes that do not score service accounts, workloads, APIs, and certificates separately will keep mistaking control presence for control effectiveness. Mature governance now means proving that non-human identities are owned, reviewed, and revoked with the same discipline as people.
As cloud and SaaS environments spread privilege across more automated objects, lifecycle automation becomes a governance requirement rather than an efficiency feature. Teams should expect maturity assessments to shift toward inventory integrity, ownership clarity, and continuous review coverage across the full identity estate.
For practitioners
- Expand maturity scorecards to cover NHIs Add service accounts, workloads, APIs, certificates, and automation identities to the same maturity model used for human access governance. Score ownership, inventory completeness, certification coverage, and revocation performance separately from employee accounts.
- Make non-human lifecycle controls explicit Define onboarding, transfer, and offboarding triggers for machine identities, including who approves creation, who owns the credential, and how revocation is verified when the service is retired.
- Replace spreadsheet reviews with continuous certification Use automated access review workflows for non-human identities so privilege changes, dormant accounts, and unresolved exceptions are visible before the next audit cycle.
- Track NHI governance KPIs separately Measure machine identity ownership coverage, average time to revoke terminated access, and unresolved SoD violations so maturity reporting reflects the actual control surface.
Key takeaways
- Identity governance maturity cannot be judged only by controls for people, because machine identities now carry material access risk across enterprise environments.
- The article’s central message is that lifecycle, access review, and SoD maturity all weaken when NHIs sit outside governance coverage.
- Practitioners should expand scorecards, ownership models, and revocation processes so non-human identities are measured and controlled as first-class assets.
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 addresses the attack and risk surface, while NIST CSF 2.0 and CIS Controls v8 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-01 — Improper Offboarding | The article stresses that machine identities often outlive ownership and offboarding. |
| NHI-05 — Overprivileged NHI | Maturity scoring fails when NHIs retain broad standing access. | |
| NHI-07 — Long-Lived Secrets | Machine identity governance depends on reducing credentials that persist beyond their intended lifecycle. | |
| Recommendation — Apply offboarding controls to service accounts, workloads, and certificates so machine access is revoked when the asset retires. Review NHI entitlements against business need and remove standing privilege that exceeds the identity's role. Track secret age and rotate or replace long-lived machine credentials before they become unmanaged. | ||
| NIST CSF 2.0 | PR.AA-05 — Access Permissions, Entitlements and Authorizations | The article is fundamentally about whether access permissions are governed consistently across identity types. |
| Recommendation — Map identity governance controls to entitlement review, ownership, and authorization enforcement across all identities. | ||
| CIS Controls v8 | CIS-5 — Account Management | Account management is central to lifecycle, access review, and deprovisioning maturity. |
| Recommendation — Standardize account inventory, ownership, and deprovisioning processes so governance works across human and machine accounts. | ||
Key terms
- Identity Governance Maturity Model: A framework for assessing how consistently an organisation controls access, enforces policy, and proves compliance across its identity estate. In practice, maturity is measured by operational reliability, remediation speed, and the ability to scale governance across human and non-human identities.
- Non-Human Identity Governance: Non-human identity governance is the practice of managing, controlling, and auditing every machine identity across its full lifecycle. It covers service accounts, API keys, tokens, certificates, and AI agent credentials, ensuring each has a defined owner, scoped privilege, rotation schedule, and revocation path. Without governance, NHIs accumulate silently and become the primary attack surface in cloud and automated environments.
- Lifecycle Automation: The automation of identity events such as onboarding, access changes, and revocation so governance follows the full user or account lifecycle. It reduces manual errors, shortens exposure windows, and helps organisations enforce consistent access controls at scale.
- Segregation of Duties: Segregation of Duties is a control principle that prevents one person or role from combining incompatible permissions that could create fraud, error, or undetected change. In ERP environments, it must account for roles, transactions, approvals, and compensating controls across business processes.
Deepen your knowledge
NHI governance, agentic AI identity, and machine identity lifecycle are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building or maturing an IAM programme, it is worth exploring.
Published by the NHIMG editorial team on July 1, 2026.
Updated on October 6, 2026.
NHI Mgmt Group, the independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org