What Zluri says NHI governance needs in 2026

At a glance

What this is: Zluri frames NHI governance as an IGA problem, arguing that service accounts, API keys, and AI agents cannot stay outside the standard access model.

Why it matters: For IAM and IGA teams, the practical issue is that machine access now affects the same lifecycle, review, and visibility controls that govern human identity programmes.

Context

NHI governance is the discipline of managing non-human identities with the same lifecycle discipline that security teams apply to user access, but the article argues most programmes still leave machine access outside that model. Once service accounts, API keys, and AI agents accumulate real access paths, the gap is no longer theoretical.

The core governance failure is visibility, not just inventory. If the programme cannot consistently see who or what holds access, it cannot certify, review, or retire that access on schedule. That makes NHI governance a control-plane issue for identity teams, not a side task for operations.

Key questions

Q: What problem does ownership attribution solve for service accounts and API keys?

A: It closes the gap between exposure detection and accountable remediation. Many organisations can find the secret, but not the human who introduced it, maintains it, or can safely replace it. Ownership attribution gives security teams a practical way to assign action without relying on informal knowledge that disappears during staff changes.

Q: Why do periodic access reviews create false confidence for machine identities?

A: Because they check status on a schedule while machine access changes continuously. A review can say an entitlement existed at one point, but it cannot show whether the identity is still in use, what depends on it, or whether its scope has drifted since the last cycle.

Q: What breaks when NHIs are missing from the identity inventory?

A: When NHIs are missing from the inventory, owners cannot certify them, retire them, or trace their scope with confidence. The result is invisible standing access, weak accountability, and a false sense of coverage in the IGA programme. Governance becomes reactive instead of authoritative.

Q: How do continuous offensive testing programs support zero trust and NHI governance?

A: They test whether assumptions about access, exposure and privilege still hold under realistic attack conditions. For NHI governance, that means checking whether exposed secrets, service accounts or tokens can actually be abused to reach data or control planes. For zero trust, it means proving that exposure does not automatically become trusted access just because it is authenticated.

Background and context

Why machine access breaks the IGA model

IGA programmes assume access is attached to a governed identity, reviewed on a cycle, and removed when the identity leaves scope. Service accounts and API keys often bypass that operating pattern because they are provisioned for systems, not people, and they persist across application changes, ownership changes, and environment changes. AI agents add another wrinkle because they can act through credentials while the underlying identity remains loosely governed. The result is not just more accounts, but more access paths that do not fit the cadence of traditional certification workflows.

Practical implication: Treat machine identities as first-class governed objects, not exceptions hidden in app or ops teams.

Lifecycle control for service accounts, API keys, and AI agents

Lifecycle control means knowing when a non-human identity is created, who owns it, what it can reach, how it is used, and when it is retired. That discipline matters because stale credentials and orphaned machine identities behave like permanent access, even when the workload or tool that created them has changed. For AI agents, the lifecycle question extends to delegated scope and whether the credential still matches the current task boundary. Without lifecycle ownership, review becomes an after-the-fact audit exercise instead of a live control.

Practical implication: Assign ownership, expiry, and offboarding rules to every non-human identity before it enters production.

Access visibility is the prerequisite for zero trust

Zero trust depends on knowing what exists, what should be trusted, and what has already drifted outside policy. For NHIs, that means the platform has to see secrets, service accounts, integrations, and agent credentials across environments rather than only inside one console. If the inventory is incomplete, policy enforcement becomes partial and risk scoring becomes unreliable. This is why NHI visibility is not just operational hygiene. It is the precondition for enforcing trust boundaries across human and machine access.

Practical implication: Build continuous visibility across machine credentials before trying to enforce zero-trust policy on them.

NHI Mgmt Group analysis

NHI governance has become an IGA design problem, not an adjacent operations task. The article’s core argument is that service accounts, API keys, and AI agents cannot be governed as exceptions if the programme claims to control who or what has access. That collapses the old boundary between identity administration and machine access oversight. Practitioners should treat non-human identity coverage as part of the operating model, not a backlog item.

Identity visibility is now the limiting factor in access governance. A programme cannot certify what it cannot see, and it cannot retire what it cannot inventory. That makes discovery, ownership, and lifecycle mapping the structural controls behind NHI governance. The implication is straightforward: if machine identities are absent from the authoritative view, governance is already incomplete.

Access review cadences built for people do not naturally fit machine identities. Service accounts and API keys often change state faster than periodic review cycles can capture, while AI agents may inherit or exercise access through delegation chains that never appear in a classic user review. That is why access governance needs to move closer to issuance, ownership, and expiry rather than relying on retrospective certification alone.

Zero trust cannot be credible when the non-human estate is unmanaged. Trust boundaries depend on knowing which identities exist, what they can reach, and whether they still deserve that reach. If NHIs sit outside the control plane, zero trust becomes selective enforcement rather than a universal policy. Practitioners should read this as a signal that NHI visibility is foundational to trust enforcement, not optional maturity.

Machine access is now part of the identity blast radius. Once a service account, API key, or agent credential is over-scoped or forgotten, the resulting exposure can extend across apps, cloud services, and automation layers. That makes NHI governance a risk containment discipline as much as an administrative one. The programme should shrink blast radius by governing machine access with the same seriousness as privileged human access.

From our research library:

• 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation, according to the Ultimate Guide to NHIs.
• Read next: Ultimate Guide to NHIs — Regulatory and Audit Perspectives

What this signals

Identity visibility is the control that decides whether NHI governance is real or cosmetic. Once service accounts and API keys are present outside the authoritative view, every later control rests on guesswork. That is why discovery and lifecycle ownership should be treated as the starting point for machine identity programmes, not the finishing touch.

Zero-trust programmes that ignore NHIs inherit a blind spot at the exact layer that now carries automation, integrations, and delegated access. According to the Ultimate Guide to NHIs, 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation. The practical implication is that trust boundaries must include machine credentials from the outset.

For practitioners

• Inventory every non-human identity Build a complete register of service accounts, API keys, certificates, and AI agent credentials across cloud, SaaS, and internal systems. Include owner, purpose, last-used signal, and expiry so the governance team has a current source of truth.
• Assign lifecycle ownership Require a named owner for each NHI, with explicit creation, review, renewal, and retirement steps. Do not let credentials exist without a business or technical steward who can answer for the access path.
• Bring NHIs into access reviews Add machine identities to recertification and attestation workflows so reviewers can confirm scope, ownership, and necessity. Exclude static lists and manual spreadsheets, which miss the drift that machine access accumulates.
• Tie zero trust to identity visibility Use continuous discovery and policy enforcement for non-human access rather than assuming the inventory is complete at deployment. The control fails if the programme cannot see the credential estate in real time.
• Set retirement triggers for stale access Define conditions that force removal when a workload is decommissioned, an integration changes owner, or an agent’s task scope changes. Offboarding must be automatic enough to prevent forgotten access from surviving the system it supports.

Key takeaways

• NHI governance fails when service accounts, API keys, and AI agents are treated as exceptions outside the main IGA model.
• Visibility and lifecycle ownership are the two controls that determine whether machine access can actually be governed.
• Zero trust and access reviews lose credibility when the non-human estate is incomplete or unmanaged.

Key terms

• 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.
• Identity Visibility: Identity visibility is the ability to see which identities exist, what they can access, and how those access paths relate across systems. In NHI programmes, it means correlating service accounts, tokens, certificates, and agents into one operational view so governance decisions are based on evidence, not assumptions.
• Lifecycle Ownership: Lifecycle ownership is the assignment of responsibility for creating, changing, reviewing, and retiring an identity or its access. For customer and non-human identities, weak lifecycle ownership usually shows up as orphaned access, inconsistent policy enforcement, and unclear accountability during change.
• Access Certification: Access certification is the periodic review of whether an identity still needs its current entitlements. For NHIs, certification is only reliable when reviewers know the identity's owner, purpose, and expiry, otherwise stale machine access can persist long after the original use case has ended.

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.