Enterprise identity management is failing to keep up with NHI sprawl

At a glance

What this is: Apono describes enterprise identity management as a governance gap for non-human identities, where scale, static roles, and manual provisioning leave cloud environments exposed to sprawl and stale access.

Why it matters: IAM, IGA, and PAM teams need to treat machine identities as lifecycle-managed subjects, because the failure mode is persistent access that outlives the task, owner, or control process.

By the numbers:

• By 2025, non-human identities will outnumber human identities by 45:1 in cloud environments, according to Apono.

Context

Enterprise identity management is the policy and control layer that decides who or what can access systems, when that access exists, and how it is revoked. In cloud environments, that problem now extends far beyond employees and contractors to service accounts, API keys, tokens, certificates, and bots, which do not follow human login patterns.

Apono’s core point is that traditional IAM models were built around people and ticket-driven provisioning, not around machine identities that can be created quickly, reused widely, and forgotten just as quickly. That makes lifecycle control, auditability, and least privilege harder to sustain as cloud estates expand.

The practical issue is not merely scale. It is that identity governance assumptions built for human users break down when access is programmatic, long-lived, and embedded in deployment and runtime workflows.

Key questions

Q: What breaks when non-human identities are managed outside the IAM operating model?

A: What breaks is accountability. Without IAM ownership, non-human credentials drift into fragmented secrets tools, inconsistent review cycles, and orphaned access that persists after the workload changes. That is how machine identities become invisible trust dependencies.

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: How can organisations tell whether NHI governance is actually working?

A: NHI governance is working when every machine identity has an owner, a purpose, a minimum-necessary entitlement, and evidence of rotation and review. If teams can produce that chain without manual reconstruction, the programme is mature enough to withstand audit pressure. If they cannot, the governance model is still fragmented.

Q: When should organisations use just-in-time access for manufacturing identities?

A: Organisations should use just-in-time access for identities that support temporary maintenance, vendor support, or emergency intervention. JIT is most valuable when standing access would create unnecessary blast radius. It works best when the approval path, session duration, and rollback steps are pre-defined and tied to production schedules and safety requirements.

Technical breakdown

Why static IAM roles fail for non-human identities

Static roles work best when identity, purpose, and duration are relatively stable. Non-human identities break that assumption because service accounts, API keys, and tokens are created for narrow tasks but often persist after the task ends. In cloud-native environments, that turns RBAC into a coarse control that is easy to over-apply and hard to retire cleanly. Once a machine identity becomes embedded in deployment pipelines or application workflows, the access path can survive long after the original business need has changed. The result is not just excess privilege but governance drift, where the entitlement model no longer reflects the operational reality.

Practical implication: treat static IAM roles as an incomplete control for machine identities and move high-risk access into task-scoped governance.

How lifecycle management changes for service accounts and API keys

Identity lifecycle management for NHIs is fundamentally different from human JML. A service account does not leave a company, but its purpose can end, its owner can change, and its permissions can become obsolete. API keys and secrets also need issuance, rotation, discovery, and expiry controls that are tied to usage patterns, not employee status. Manual provisioning fails here because there may be no obvious ticket, approver, or offboarding event to trigger cleanup. Without automated lifecycle controls, orphaned access becomes normal rather than exceptional, and dormant credentials remain valid far beyond their intended exposure window.

Practical implication: build automated issuance, rotation, and expiry for machine identities instead of relying on human offboarding workflows.

Why audit logs are not enough for NHI governance

Audit logging is necessary, but on its own it records misuse after the fact. For non-human identities, the stronger control point is entitlement state at issuance and throughout the credential lifecycle. If access remains valid when no one is actively using it, logs only document an avoidable condition. That is why monitoring must be paired with automated reporting, discovery, and revocation logic that can identify stale permissions before they become incident material. In NHI-heavy environments, the governance question is not whether activity can be traced, but whether the credential should still exist at all.

Practical implication: use audit logs to support control verification, but use lifecycle automation to remove stale access before logs become evidence.

Threat narrative

Attacker objective: The objective is to exploit persistent non-human access paths to reach systems and data without relying on interactive human authentication.

1. Entry occurs when machine credentials such as API keys, tokens, or service account secrets are issued broadly or left accessible after their intended use window.
2. Escalation follows when those credentials retain standing privilege, allowing access to systems, data, or deployment paths beyond the original task scope.
3. Impact emerges through credential sprawl, orphaned access, compliance drift, and the opportunity for unauthorized use if a credential is exposed or reused.

Breaches seen in the wild

• OneLogin API flaw (CVE-2025-59363): A OneLogin API flaw exposed OIDC client secrets to anyone with an API key, including vendors (CVE-2025-59363); fixed with no customer impact.
• Dropbox Sign breach 2024: A compromised back-end service account gave attackers Dropbox Sign customer data, including API keys, OAuth tokens and MFA information.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Static IAM assumptions no longer match cloud identity reality: Enterprise identity management was built around people with discrete join, move, and leave events. That assumption fails when the dominant access subjects are service accounts, API keys, and bots that are created, embedded, and forgotten inside delivery pipelines. The implication is that lifecycle governance must move from user-centric administration to machine-centric control.

Credential sprawl is a governance failure, not just an inventory problem: Once machine identities outnumber humans, the organisation no longer has a manageable entitlement model if it still depends on manual provisioning and static roles. The issue is not simply that there are more credentials, but that the programme can no longer reliably answer who owns them, why they still exist, or when they should disappear. Practitioners should treat this as an identity governance design flaw, not a housekeeping backlog.

Ephemeral machine access creates an identity blast radius that traditional reviews miss: Access review cadences assume an entitlement persists long enough to be observed, challenged, and recertified. That is often true for humans, but many non-human identities are created for short operational windows and then reused in ways review processes never catch. The result is that review-driven governance sees yesterday’s access while the risk sits in today’s runtime use.

Modern EIM is really runtime privilege governance for non-human identities: The market is moving toward automated discovery, rotation, and just-in-time access because those controls reduce the gap between entitlement and use. That does not eliminate the need for IAM, IGA, or PAM. It redefines their boundary: the control objective becomes preventing standing machine privilege from becoming normalised infrastructure. Practitioners should re-evaluate where access is granted, how long it lasts, and who can prove it is still required.

Service account offboarding is becoming the new privilege-creep test: Offboarding is no longer only about people leaving. In cloud environments, it is increasingly about whether machine identities are retired when applications are decommissioned, pipelines change, or ownership shifts. A programme that cannot reliably remove unused non-human access is not merely inefficient; it is operating with built-in privilege creep.

From our research library:

• 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, according to the Ultimate Guide to NHIs.
• Only 5.7% of organisations have full visibility into their service accounts, according to the Ultimate Guide to NHIs.
• Read next: Ultimate Guide to NHIs — What are Non-Human Identities

What this signals

Ephemeral credential trust debt: Cloud teams now inherit a growing gap between how quickly machine access is created and how slowly it is removed. That gap matters because access review processes were designed for entitlements that persist long enough to be reviewed, while service accounts and API keys often move faster than governance cycles can observe.

The operational shift is toward lifecycle control at issuance time, not just detection after the fact. Teams that still treat non-human identities as a provisioning side issue will keep accumulating orphaned access, even if they improve logging and audit reporting.

The most useful next step is to align discovery, ownership, and revocation so that non-human identities are governed as a living access estate rather than a static inventory.

For practitioners

• Map every non-human identity to an owner and purpose Create an inventory that links each service account, API key, token, and certificate to a business purpose, technical owner, and expiry expectation. Unknown ownership should be treated as a governance defect, not an exception.
• Replace static roles with task-scoped access Use just-in-time access for elevated machine privileges where the access window can be tied to deployment, incident response, or automation windows. Keep standing permissions only where a runtime dependency cannot be removed.
• Automate rotation and expiry for machine credentials Set rotation and expiry rules for API keys, tokens, and service account secrets based on usage and risk, not calendar convenience. Include discovery so orphaned credentials are found before they become active exposure.
• Separate human provisioning from NHI lifecycle controls Do not rely on employee offboarding workflows to clean up machine identities. Build revocation logic that decommissions access when the workload, pipeline, or integration changes.

Key takeaways

• Enterprise identity management is failing because cloud environments now depend on machine identities that do not fit human-centric IAM workflows.
• The evidence is structural: non-human identities outnumber human identities by 45:1, and only 5.7% of organisations have full visibility into service accounts.
• The control answer is lifecycle governance for non-human identities, especially ownership, rotation, and task-scoped access removal.

Key terms

• External Identity Management: External Identity Management is the control of identities that belong to people or systems outside an organization’s internal workforce. It covers how customers, partners, contractors, and other third parties are registered, authenticated, authorized, monitored, and retired. Technically, it combines identity proofing, access policy, lifecycle governance, and auditability across shared digital services.
• Non-Human Identity (NHI): A digital identity assigned to a non-human entity such as a software application, service account, API key, bot, machine, or AI agent that enables it to authenticate and interact with systems without direct human involvement. NHIs now outnumber human identities in most enterprises by 25 to 50 times.
• Standing Privilege: Standing privilege is access that remains active even when no immediate task requires it. For NHI programmes, it is a common failure mode because long-lived credentials and persistent roles create unnecessary exposure. Reducing standing privilege usually means tighter expiry, on-demand access, and clearer review of who or what still needs access.
• Just-in-Time Access Request: Just-in-Time Access Request is a pattern that grants access only when it is needed and only for the duration required. It reduces standing privilege by making access temporary, policy driven, and task scoped. This approach is especially useful for contractors, sensitive systems, and short-lived operational work.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity security 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.