Human and non-human identities need different control models

At a glance

What this is: This blog argues that human identities and non-human identities require different governance models, with NHI sprawl, visibility gaps, and over-privilege driving material security risk.

Why it matters: It matters because IAM teams must govern humans, workloads, and machine identities with different controls, or they will miss the access patterns that create the largest attack surface.

By the numbers:

• 54% of executives have reported that inappropriate access rights granted to non-human identities have led to security issues.
• Only 5.7% of organisations have full visibility into their service accounts.
• 79% of organisations have experienced secrets leaks, with 77% of these incidents resulting in tangible damage.

👉 Read Entro Security's blog on human and non-human identity challenges

Context

Human identity programmes are built around people, review cycles, and interactive authentication. Non-human identities operate differently: service accounts, API keys, OAuth tokens, certificates, and workload credentials can be created, reused, and forgotten without the same governance touchpoints. That gap is why the same IAM controls cannot simply be copied across both identity classes.

The article's core message is that NHI risk is not just about volume, it is about visibility, ownership, and access discipline. For teams running mixed identity estates, the practical question is whether governance, secrets handling, and review processes are actually aligned to the actor type being managed.

Key questions

Q: How should security teams govern non-human identities differently from human accounts?

A: Security teams should govern non-human identities with separate lifecycle, inventory, and rotation controls because these identities authenticate silently, operate continuously, and often outlive the systems that created them. Human account review processes are necessary but not sufficient. The practical goal is to make ownership, purpose, and retirement explicit for every machine credential.

Q: Why do service accounts create more access risk than many human accounts?

A: Service accounts often carry persistent, broad permissions so applications keep working without interruption. That persistence makes them attractive targets and easy to forget during reviews. When the secret, owner, and workload are not tightly linked, the account can continue to access sensitive systems long after its original purpose has changed.

Q: What breaks when organisations cannot see all of their non-human identities?

A: What breaks is governance itself. Without a complete inventory, teams cannot confirm who owns a credential, whether it still has a valid purpose, or whether it should be rotated or removed. Discovery gaps also hide over-privilege and stale secrets, which means incident response and access review both start from incomplete data.

Q: How can teams reduce risk from long-lived machine credentials?

A: Teams should tie credential rotation and revocation to lifecycle events, then verify usage against current workload behaviour rather than historic provisioning records. If a secret is still active after the workload changes, the programme has an unmanaged access problem. The NHI Lifecycle Management Guide is the right reference point for formalising that discipline.

Technical breakdown

Why human IAM controls do not fit non-human identities

Human IAM assumes a person can authenticate, respond to prompts, and be reviewed in a predictable cycle. Non-human identities do not behave that way. A service account or API key may authenticate silently, run continuously, and outlive the team that created it. That changes how access is granted, observed, and retired. The architecture problem is not authentication alone. It is that ownership, purpose, and lifecycle state are often detached from the credential itself, which makes traditional review processes blind to dormant or over-privileged machine access.

Practical implication: map every non-human credential to an owner, a purpose, and a retirement path before you rely on human IAM processes.

Secrets management and visibility are the control plane for NHI governance

For non-human identities, the real control plane is often secrets management, inventory, and monitoring. If an organisation cannot see where tokens, keys, and certificates exist, it cannot prove least privilege or safe offboarding. This is why visibility gaps matter more than they do in human identity programmes. The risk is not only exposure of a secret, but also hidden reuse across systems, stale credentials in code, and service accounts with access no one actively governs. The result is an identity layer that behaves like shadow infrastructure.

Practical implication: treat secret inventory, ownership, and rotation status as governance data, not just operational metadata.

Least privilege is harder when workload access is persistent

Least privilege for NHIs should be defined by workload function, environment, and duration, not by broad roles assigned once and left in place. In many estates, standing access is the norm because automation depends on uninterrupted access. That creates a structural tension: the more widely a machine identity is reused, the harder it is to keep its permissions narrow. If the access model is static while the application estate is dynamic, privilege creep becomes inevitable, especially across cloud and third-party integrations.

Practical implication: revalidate machine access against current workload behaviour, not only against the original provisioning ticket.

Threat narrative

Attacker objective: The objective is to exploit unmanaged machine access paths that bypass normal human review and create broad, persistent exposure.

1. Entry begins when a non-human identity is provisioned with broad access rights and its secret is reused across systems without tight ownership controls.
2. Escalation occurs when the credential is over-provisioned or left unrotated, allowing access to expand beyond the workload that originally needed it.
3. Impact follows when stale or hidden NHI access is abused to reach sensitive data, internal systems, or third-party environments.

Breaches seen in the wild

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

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

NHI Mgmt Group analysis

Human IAM and NHI governance solve different problems, even when they share the same identity platform. Human identity controls assume interactive authentication, predictable review cycles, and a person behind every access decision. NHI governance has to manage credentials that authenticate silently, live in code, and persist beyond the original owner. The practitioner mistake is to treat workload identities as scaled-down user accounts. The implication is that programmes need separate control logic for human and non-human access, even if reporting is unified.

Visibility is the first governance failure, not the last remediation step. If organisations cannot inventory service accounts, tokens, and secrets, every later control becomes partial. That is why NHI programmes fail most often at discovery, ownership assignment, and retirement tracking. This is not just a tooling issue, it is an accountability issue. Practitioners should treat undiscovered machine identities as unmanaged access, not as a minor hygiene problem.

Least privilege for non-human identities is defined by workload behaviour, not by role labels. A service account that keeps broad permissions because automation depends on it has already outgrown the original privilege model. Role names rarely describe the real blast radius in cloud and integration-heavy estates. The implication is that teams should rebase NHI access reviews on actual usage, dependency, and credential lifetime rather than on inherited roles alone.

Credential lifecycle discipline matters more for NHIs because rotation and offboarding are governance, not housekeeping. The article's emphasis on regular audits, clear policies, and automation reflects a wider truth: unmanaged machine credentials become invisible control debt. NHI lifecycle processes need explicit creation, review, rotation, and retirement points. Practitioners should measure whether the lifecycle is enforced consistently, not whether policies exist on paper.

Shadow machine identities are a symptom of identity sprawl, not a separate category of risk. When legacy systems and new integrations create unknown service accounts, the estate is signalling that governance has fallen behind architecture. That problem scales across cloud, application, and supply chain relationships. The implication is that identity teams should treat discovery and rationalisation as continuous operating duties, not annual clean-up exercises.

From our research:

• Only 5.7% of organisations have full visibility into their service accounts, according to Ultimate Guide to NHIs.
• 71% of NHIs are not rotated within recommended time frames, increasing the risk of compromise over time.
• For lifecycle control, see NHI Lifecycle Management Guide for provisioning, rotation, and offboarding patterns.

What this signals

Identity programmes that unify reporting but separate control logic will be better placed to handle mixed estates. Human IAM, workload identity, and secrets governance can share metrics, but they should not share the same operational assumptions. The practical signal is that teams need distinct ownership, review cadence, and offboarding criteria for each identity class, or the programme will overfit to people and under-govern machines.

Service-account sprawl is becoming a core board-level visibility problem, not just an engineering issue. When a large share of machine access cannot be mapped cleanly to an owner or purpose, risk reporting becomes structurally incomplete. Teams should prepare for more scrutiny around credential inventories, third-party access paths, and evidence of rotation discipline, especially where cloud and application estates are tightly coupled.

Ultimate Guide to NHIs remains the most useful anchor for teams that need to turn discovery into lifecycle governance. The lesson for practitioners is not to add another human-centric review layer, but to build machine-specific operating controls that can survive scale, delegation, and system change.

For practitioners

• Inventory every non-human identity class Build a consolidated register for service accounts, API keys, OAuth tokens, certificates, and workload identities. Include owner, purpose, environment, last rotation date, and retirement trigger so that orphaned credentials can be governed rather than rediscovered after an incident.
• Separate human and NHI review workflows Do not route machine access through human recertification alone. Establish review criteria for non-human identities that focus on workload necessity, secret age, scope of access, and dependency on external systems.
• Enforce secret rotation and offboarding by policy Tie rotation and revocation to lifecycle events, code changes, and owner departure. If secrets can remain valid after the associated workload changes, the organisation is carrying hidden access debt.
• Reduce standing access for persistent workloads Reassess long-lived machine permissions and remove any access that is not directly tied to a current function. Where persistence is unavoidable, narrow scope and increase monitoring around the credential's actual use.
• Correlate identity data with monitoring signals Connect inventory data with logs, alerts, and cloud configuration findings so hidden NHIs do not stay invisible. This is where teams identify access drift, stale secrets, and over-provisioned service accounts before they become incidents.

Key takeaways

• Human identity controls do not automatically govern service accounts, tokens, and other machine credentials effectively.
• Visibility gaps and persistent permissions are the main reasons non-human identities become hidden security debt.
• Teams need separate lifecycle, review, and rotation logic for non-human identities if they want least privilege to hold in practice.

Key terms

• Non-Human Identity: A non-human identity is a credential or identity used by software, a workload, or an automated process rather than a person. In practice, this includes service accounts, API keys, tokens, certificates, and workload identities that need ownership, scope, and retirement controls.
• Service Account: A service account is an identity created for an application or system to perform specific tasks without a human operator. It often carries persistent permissions, which makes ownership, rotation, and offboarding critical parts of governance rather than optional hygiene.
• Secrets Management: Secrets management is the discipline of storing, rotating, distributing, and revoking credentials such as keys, tokens, and certificates. For non-human identities, it is the practical control layer that determines whether access remains visible, current, and traceable across the lifecycle.
• Privilege Creep: Privilege creep is the gradual expansion of access beyond what a current workload or identity actually needs. For non-human identities, it often appears when old permissions are never removed, so a service account keeps more access than its present function justifies.

What's in the full article

Entro Security's full blog covers the operational detail this post intentionally leaves for the source:

• Step-by-step guidance on identifying human versus non-human identities across common enterprise systems
• Practical examples of NHI controls for secrets management, access policies, and automation
• Lifecycle best practices for onboarding, monitoring, and retiring machine identities
• The vendor's recommended approach to building a more secure identity management strategy

👉 The full Entro Security post covers identity examples, NHI tooling, and lifecycle practices in more detail.

Deepen your knowledge

Non-human identity governance, secrets rotation, and lifecycle discipline are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building that programme from a human-centric starting point, it is worth exploring.