Why existing IAM controls fall short for non-human identities

At a glance

What this is: This is an analyst view of why non-human identities remain one of the most exposed enterprise attack surfaces.

Why it matters: It matters because IAM, PAM, and lifecycle programmes have to govern machine identities with the same rigour they apply to human access, or exposure accumulates silently.

👉 Read Keeper Security's guide to protecting non-human identities

Context

Non-human identity security is the discipline of governing service accounts, API keys, tokens, certificates, and workload identities that operate outside human login flows. In this article's topic area, the problem is not simply volume. It is that machine identities are still being treated with control models designed for employees, even though their access patterns, ownership, and review cycles are fundamentally different.

Keeper Security argues that the gap shows up most clearly in hybrid and multi-cloud estates, where secrets spread across repositories, configuration files, CI/CD systems, and cloud-native services. For IAM and PAM teams, the issue is lifecycle discipline: knowing what exists, who owns it, what it can reach, and when it should be rotated or removed.

That starting position is typical, not exceptional. Most organisations have inherited machine identity sprawl faster than they have built governance for it, which is why visibility, least privilege, and time-limited access keep failing at execution rather than principle.

Key questions

Q: How should security teams manage non-human identities across hybrid and multi-cloud environments?

A: Start with inventory, ownership, and expiry. Security teams need to discover every service account, token, certificate, and workload identity, then map each one to a business purpose and revocation path. In hybrid and multi-cloud estates, the control plane must unify issuance, rotation, and logging, or machine identities will keep drifting outside governance.

Q: Why do non-human identities increase lateral movement risk?

A: Non-human identities often carry standing privilege, broad reuse, and weak visibility across systems. If an attacker captures one credential, the same access can be reused across workloads, pipelines, or cloud services, which turns a single secret into a route for lateral movement. That is why rotation, scope reduction, and ownership are so important.

Q: What do security teams get wrong about secrets rotation for NHIs?

A: They often treat rotation as a schedule instead of a control outcome. Rotation only reduces risk when every copy of the secret is known, every place that consumes it is updated, and the old credential is actually revoked. Without that coverage, rotation creates false confidence while exposure remains in place.

Q: Who should be accountable for non-human identity governance?

A: Accountability should sit with the team that owns the workload or automation, with IAM and PAM providing the control model and enforcement. If ownership is split across DevOps, security, and IT without a single decision maker, non-human identities tend to accumulate stale access, untracked secrets, and unclear exception handling.

Technical breakdown

Why human IAM models fail for non-human identities

Human IAM assumes a named user, an interactive login, and an access review cycle that can observe behaviour over time. Non-human identities do not fit that model. A service account may authenticate through a token, an API key, or a certificate, then execute repeatedly without a person in the loop. That changes how ownership, verification, and revocation work. In practice, policies built for MFA prompts, user sessions, and manual certification leave machine credentials outside the control plane, even when the organisation believes they are covered.

Practical implication: map every machine identity to an owner, an expiry condition, and a revocation path outside the human access review process.

How secrets sprawl creates persistent access windows

Secrets sprawl occurs when credentials are duplicated across code, pipelines, config files, chat tools, and cloud services. Each copy becomes another access path, and each untracked path extends the attack window. Static secrets are especially risky because they are easy to reuse and hard to prove complete once exposed. The underlying architectural problem is not storage alone. It is that every unmanaged copy weakens the ability to enforce rotation, trace use, and prove that access has been removed everywhere it exists.

Practical implication: centralise secret issuance and rotation so one control plane governs the credential, not scattered copies of it.

Why least privilege and JIT need machine-specific enforcement

Least privilege for non-human identities is not just about reducing permissions. It is about aligning access scope with the narrowest operational task and ensuring those rights do not persist after the task completes. JIT access matters because many NHIs do not need standing privilege, even if they run continuously. The control challenge is that access may be granted through systems that never present a human session, so the enforcement point has to sit on the credential, not the user interface. Without that, the identity remains permanently usable.

Practical implication: enforce role-based access and time-bound credential issuance directly on workload identities, service accounts, and privileged automation.

Threat narrative

Attacker objective: The attacker wants to turn unmanaged machine access into durable reach inside production systems, often without triggering human-centric IAM controls.

1. Entry begins when attackers find hard-coded secrets in repositories, config files, or shared channels where non-human credentials were exposed.
2. Escalation follows when the same standing credential is reused across environments, allowing broader access than the original workload required.
3. Impact occurs when the abused identity reaches sensitive systems, enabling data theft, lateral movement, or privileged operational abuse.

Breaches seen in the wild

• Sisense breach — unauthorized GitLab access led to exfiltration of access tokens, API keys and certificates.
• Dropbox Sign breach — compromised Dropbox Sign service account exposed API keys and OAuth tokens.

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

NHI Mgmt Group analysis

Non-human identity sprawl is a governance problem before it is a tooling problem. The article describes thousands of machine identities operating with limited oversight, but the deeper issue is that many organisations cannot produce a complete inventory or ownership model for them. OWASP-NHI and NIST-CSF both treat visibility and accountability as prerequisites, not optional enhancements. The practitioner implication is straightforward: if you cannot enumerate and assign responsibility for an NHI, you do not govern it.

Human-centric IAM assumptions fail because machine identities do not behave like people. Access reviews, MFA patterns, and user-centric lifecycle processes are built around interactive sessions and named operators. That assumption fails when the actor is a service account or workload identity that authenticates through a secret and runs continuously. The implication is not to stretch human IAM further. It is to separate machine governance from employee governance and stop pretending the same lifecycle controls will behave identically.

Secrets rotation is not the real control unless exposure windows are actually shortened. Static credentials create what we would call credential persistence debt: every extra copy, every inherited permission, and every delayed rotation extends the time an attacker can reuse access. This is a zero standing privilege problem in NHI terms, not just a hygiene issue. The practitioner implication is that rotation must be tied to distribution, ownership, and revocation coverage, not to a calendar alone.

Least privilege for NHIs only works when privilege is task-scoped and machine-scoped. Broad default permissions are a structural failure because machine identities are often granted access for convenience at build time and never revisited. NIST-CSF access control and OWASP-NHI both point to the same gap: standing access becomes the normal state. The practitioner implication is to treat every high-value NHI as a bounded execution identity with explicit scope, expiry, and auditability.

JIT access changes NHI governance because the access event must be controlled without a human session. When a workload or automation path receives access on demand, the governance model has to prove that issuance, use, and revocation are linked even when no person is present. That is where traditional PAM assumptions break down most often. The practitioner implication is to validate whether your privileged access controls can issue and withdraw machine credentials at the same layer they are consumed.

From our research:

• Only 19.6% of security professionals express strong confidence in their organisation's ability to securely manage non-human workload identities, according to The 2024 Non-Human Identity Security Report.
• 45% of organisations cite lack of credential rotation as the top cause of NHI-related attacks, ahead of inadequate monitoring and over-privileged accounts at 37% each.
• For a broader lifecycle lens, see Ultimate Guide to NHIs for how inventory, rotation, and offboarding fit into one governance model.

What this signals

Credential persistence debt is the pattern to watch as machine identities scale. When secrets are duplicated across repositories, pipelines, and cloud services, the real risk is not just exposure but the inability to prove that access was removed everywhere it existed.

With 85% of organisations lacking full visibility into third-party OAuth-connected vendors, per The State of Non-Human Identity Security, identity governance is drifting toward partial control states rather than true lifecycle ownership.

Practitioners should expect PAM and IAM programmes to converge on machine identity lifecycle management, because rotation without discovery and ownership does not close the governance gap. For implementation detail, 52 NHI Breaches Analysis is the clearest companion resource.

For practitioners

• Build a complete non-human identity inventory Discover service accounts, tokens, certificates, and workload identities across cloud, CI/CD, and on-prem environments, then assign an owner and business purpose to each one. Use the inventory to identify orphaned credentials, duplicate secrets, and identities with no clear revocation path.
• Centralise secret issuance and rotation Move secrets out of code repositories, shared chat channels, and local config files into a managed control plane that can enforce rotation, expiry, and audit trails. Prioritise credentials that currently exist in plaintext or are copied across multiple environments.
• Remove standing privilege from workload identities Re-scope non-human access so service accounts and automation identities receive only the permissions needed for the specific task. Pair that with time-bound issuance so privileges expire when the workflow ends, not when a calendar review happens.
• Tie access reviews to machine lifecycle events Trigger reviews when a workload is deployed, repurposed, or decommissioned, not only during human access certification cycles. That lets IAM and PAM teams catch stale access before it becomes an unattended path into production.

Key takeaways

• Non-human identity risk is driven by unmanaged ownership, static secrets, and persistent access, not by identity volume alone.
• The control gap is visible in the data: most organisations are not confident they can secure workload identities, and many still rely on insecure secret handling.
• The practical response is lifecycle governance, meaning discovery, ownership, rotation, least privilege, and time-bound access for every machine identity.

Key terms

• Non-Human Identity: A non-human identity is any machine credential used by software, workloads, services, or automation to authenticate and access resources. In practice, this includes service accounts, API keys, tokens, certificates, and workload identities that need ownership, rotation, and lifecycle control just like any other access object.
• Secret Sprawl: Secret sprawl is the uncontrolled spread of credentials across code, pipelines, files, chat, and cloud services. The risk is not only exposure but also loss of visibility, because each copy becomes a separate access path that can outlive the system or workflow that created it.
• Zero Standing Privilege: Zero standing privilege means no access remains permanently available when it is not actively needed. For non-human identities, that requires access to be issued for a task, monitored during use, and removed or expired immediately after the workload no longer needs it.
• Workload Identity: A workload identity is a machine identity assigned to an application, container, service, or automated process so it can authenticate without a human user. These identities must be governed through ownership, bounded permissions, and rotation controls because they often operate continuously and at scale.

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 identity security across human and non-human access, it is worth exploring.

This post draws on content published by Keeper Security: How to protect non-human identities. Read the original.