Identity and access management gaps grow as non-human identities spread

At a glance

What this is: This overview says IAM must cover both people and non-human identities, because access governance becomes harder when applications and services behave like first-class identity subjects.

Why it matters: For IAM teams, the point is that identity lifecycle, access reviews, and least-privilege enforcement have to account for machine-held access, not just human users.

Context

Identity and access management is the discipline of deciding who or what can access a system, when that access is valid, and under what conditions it should be removed. In this article, the pressure point is non-human identity sprawl, where applications and services accumulate access in ways traditional human-centric IAM processes do not fully govern.

That matters because lifecycle, authorization, and review processes were designed around a user model with clear onboarding and offboarding events. When the identity subject is a workload or service, orphaned access and excess privilege become more persistent, and the governance model has to be adapted rather than simply extended.

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: Why do service accounts create so much access governance risk?

A: Service accounts create risk because they often accumulate standing privilege, lack a durable owner, and survive long after the workflow or application that created them has changed. That combination makes it hard to prove why access exists, when it should be removed, or whether it still matches the business purpose.

Q: How do teams know whether non-human identity controls are actually working?

A: Look for reduced use of shared credentials, fewer manually rotated secrets, shorter credential lifetimes, and clear ownership for each workload identity. If access still depends on long-lived material in code, tickets, or inboxes, the control plane is not working as intended.

Q: How do human identity processes differ from non-human identity lifecycle management?

A: Human identity processes assume a person with hire, move, and leave events, while non-human lifecycle management must track deployment, rotation, replacement, and decommissioning. The control intent is similar, but the lifecycle markers are different, so teams need separate operating rules even when the governance principles are shared.

Technical breakdown

Why IAM breaks down when non-human identities multiply

IAM controls work best when the identity subject is a person with a clear employment relationship, predictable login behaviour, and a defined offboarding point. Non-human identities such as applications, services, and workloads do not follow that pattern. They can be created quickly, used broadly, and forgotten when the system they support changes. That creates an inventory and governance gap: if the identity is not visible, it cannot be reviewed, recertified, or retired with confidence. The result is not just more access, but less certainty about ownership, purpose, and expiration.

Practical implication: inventory non-human identities with the same ownership and lifecycle rigor you apply to privileged human accounts.

Authentication and authorization for machine-held access

The article groups authentication and authorization as core IAM functions, and that applies directly to non-human identities. Authentication proves the workload is the workload it claims to be, while authorization determines what that workload can reach once authenticated. The governance challenge is that machine access is often embedded in code, configuration, or secrets rather than interactive login flows. That means entitlement scope and credential handling become tightly coupled. If either side drifts, a service can retain access far beyond its operational need, even when the surrounding application changes.

Practical implication: tie machine authentication to narrowly scoped authorization and review both whenever an application’s role changes.

Access reviews and lifecycle control for non-human identity sprawl

Access reviews are meant to test whether existing permissions still make sense, but they lose value when the identity estate is incomplete or the reviewer cannot tell which access belongs to which workload. The same problem appears in lifecycle management. Human onboarding and offboarding have mature organisational cues, but service creation, rotation, decommissioning, and offboarding are often fragmented across teams. In practice, that makes orphaned accounts and excessive privileges more likely, especially when services outlive the project or platform that created them.

Practical implication: make offboarding and recertification explicit for service accounts, API keys, and other non-human credentials.

Threat narrative

Attacker objective: The objective is to abuse persistent non-human access to move beyond intended privilege boundaries and reach protected systems or data.

1. Entry occurs when applications or services are granted access as part of normal deployment or integration, often without the same scrutiny used for human accounts.
2. Credential or account persistence follows when those non-human identities are not tied to a clear owner, rotation process, or offboarding trigger.
3. Escalation happens when access reviews and privilege limits do not keep pace with application changes, leaving excess permissions in place.
4. Impact emerges as orphaned accounts and overprivileged services expand the attack surface and weaken governance confidence across the environment.

Breaches seen in the wild

• Azure Key Vault Contributor escalation 2024: Datadog found Azure Key Vault Contributor could add itself to access policies and read every secret, key and certificate in a vault.
• Sisense breach 2024: A credential in Sisense's GitLab reportedly opened S3 buckets of customer tokens, passwords and certificates; CISA urged a full reset.

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

NHI Mgmt Group analysis

IAM built for people does not automatically govern non-human identities. The article describes a familiar control stack, but the subject shifts once applications and services become first-class identity subjects. Human-centric assumptions about login behaviour, offboarding, and recertification no longer hold cleanly. The practical consequence is that IAM programmes must treat machine identities as governed assets, not incidental implementation details.

Orphaned access is a lifecycle failure, not only an operational nuisance. When a service or application outlives the team or project that created it, access can persist with no meaningful owner. That breaks the normal accountability loop that makes access review effective. The implication is that lifecycle governance has to extend to non-human identities with explicit ownership, retirement, and review boundaries.

Excess privilege in non-human identities turns authorization into a hidden blast-radius problem. The article points to authorization as a core IAM function, but machine access is often broader than the task actually requires. Once those permissions accumulate, the blast radius expands quietly across services, APIs, and data stores. Practitioners should read this as a signal that access scope, not just authentication strength, determines governance quality.

Non-human identity sprawl is an inventory problem before it is a security control problem. If teams cannot enumerate the identities that exist, they cannot prove which ones are still needed or who owns them. That creates blind spots in compliance, least privilege, and audit response. The practitioner conclusion is straightforward: governance starts with visibility, then moves to lifecycle discipline.

Non-human identity lifecycle debt: The article exposes how environments accumulate machine access faster than teams can retire it. That debt shows up as orphaned accounts, stale permissions, and unmanaged service relationships. NHI programmes should treat that accumulation as a structural governance risk, not a cleanup exercise.

What this signals

Non-human identity lifecycle debt: Many IAM programmes still measure success through user-centric controls, but machine access changes the operating model. The issue is not only more identities. It is that the lifecycle markers for creation, review, and retirement move outside the familiar joiner-mover-leaver pattern, so governance has to become asset-aware.

Access reviews, offboarding, and least privilege remain the right principles, but they fail when the identity subject is a workload whose access is embedded in code and infrastructure rather than a person’s account. Teams should expect their IAM programme to shift from directory-centric administration to continuous non-human identity governance.

For practitioners

• Inventory non-human identities by owner and purpose Build a complete register of applications, services, workloads, API keys, and service accounts, then assign a business owner and technical owner to each entry.
• Align offboarding to machine identity lifecycle events Trigger retirement when a workload is decommissioned, a vendor relationship ends, or an integration is replaced, so access does not outlive the system that uses it.
• Review authorization scope on non-human identities Recertify machine-held permissions after deployment changes, platform migrations, and ownership changes, with a specific check for unnecessary data and admin access.
• Separate discovery from entitlement approval Use discovery to expose unmanaged non-human identities first, then route only owned and justified identities into access approval and periodic review.

Key takeaways

• Non-human identities turn IAM from a user-management discipline into a broader governance problem that includes applications, services, and workloads.
• The practical risk is not just more identities, but identities that keep access after ownership, purpose, or deployment context has changed.
• Teams need explicit inventory, lifecycle, and recertification controls for machine-held access if they want least privilege to hold in production.

Key terms

• 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.
• Identity Lifecycle Governance: Identity lifecycle governance is the set of processes that create, change, review, rotate, and revoke access across human and non-human identities. It matters because access risk usually increases when lifecycle events are slow, incomplete, or disconnected from the systems that rely on them.
• Access Review: A formal process for confirming whether access is still needed and justified. In IAM programs, the review becomes an evidence-bearing control when decisions are recorded, scoped correctly, and traceable to the right reviewer, application owner, or auditor.
• Overprivileged Identity: An overprivileged identity has more access than its workload or service actually needs. In NHI environments, this often happens through default cloud permissions, role accumulation, or poor review discipline. The practical risk is a larger blast radius if the identity is compromised or misused.

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.