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

At a glance

What this is: This is an IAM overview that extends the control model to non-human identities and highlights visibility, lifecycle, and privilege as the main risks.

Why it matters: It matters because NHI programmes fail when teams treat service accounts, applications, and tokens as exceptions instead of governed identities.

👉 Read Astrix Security's overview of identity and access management for NHI governance

Context

Identity and access management is the control layer that decides who or what can reach systems, data, and services. In practice, the problem is no longer limited to employees and contractors because service accounts, applications, and tokens also need authentication, authorization, lifecycle management, and review. For NHI governance, that widens the scope from user access administration to machine identity control.

Astrix Security frames the issue as a visibility and control gap: organisations can define access policies, but still miss non-human entities that carry real operational privilege. That is a familiar pattern for practitioners, where the governance model exists on paper but breaks down in inventories, offboarding, and exception handling. The starting position described here is typical for modern enterprises, not unusual.

Key questions

Q: How should teams govern non-human identities alongside human IAM?

A: Treat machine identities as first-class identities with ownership, inventory, rotation, offboarding, and access review requirements. The practical difference is that the control must follow the workload lifecycle, not the employee lifecycle. If the identity cannot be tied to a business purpose and a clear retire path, it should not keep standing access.

Q: When does a service account become a security risk?

A: A service account becomes a security risk when its access is broader than the workload needs, when no one owns its lifecycle, or when the credential remains valid after the workload changes. That combination creates hidden persistence, makes compromise easier to reuse, and turns routine automation into an attack path.

Q: What is the difference between human IAM and non-human identity governance?

A: Human IAM focuses on interactive sign-in, user roles, and joiner-mover-leaver processes. Non-human identity governance focuses on secrets, certificates, workload context, and continuous lifecycle control for identities that may never log in like a person. The operational priority shifts from session management to credential ownership and rotation.

Q: Why do organisations struggle to reduce non-human identity sprawl?

A: They struggle because machine identities are created across too many systems, including code, pipelines, and integrations, and because ownership is often unclear. Sprawl grows when discovery is incomplete and offboarding is manual, so the organisation loses track of what still exists and what still has access.

Technical breakdown

How IAM controls fail when non-human identities are included

Traditional IAM assumes a person-centric model: a known user signs in, gets a role, and later leaves the organisation. Non-human identities behave differently. They often authenticate with certificates, API keys, tokens, or workload credentials, and they may run continuously without a human session boundary. That makes lifecycle events harder to see, especially when identities are created by code, orchestration tools, or third-party integrations. The security issue is not that IAM is irrelevant, but that its evidence model was built around human workflows. Practical governance needs inventory, ownership, rotation, and offboarding for every machine identity.

Practical implication: Treat service accounts and tokens as first-class identities with ownership, expiry, and review requirements.

Why over-privilege and orphaned accounts persist

Over-privilege persists because machine identities are often granted broad rights to avoid breakage during deployment or integration. Orphaned accounts then survive because no one owns the offboarding step, or the identity is hidden inside automation that teams no longer inspect closely. Access reviews help only when the reviewer can see the identity, understand its function, and validate whether the privilege still matches the workload. In NHI environments, least privilege is a design property, not an after-the-fact audit activity. Without that design discipline, drift accumulates faster than teams can manually remediate it.

Practical implication: Build ownership and access review into the provisioning path, not the audit cycle.

What suspicious NHI activity usually looks like

Suspicious non-human activity often shows up as unusual token use, access from unexpected hosts, privilege use outside normal deployment windows, or repeated authentication failures followed by success. Those signals matter because machine identities can be abused quietly at scale, especially when secrets are reused across environments or copied into code and pipelines. Monitoring has to focus on behaviour as well as static entitlement. That means tying identity telemetry to workload context, secret handling, and deployment events so defenders can separate normal automation from compromise attempts.

Practical implication: Correlate identity events with workload and pipeline telemetry before anomaly triage.

Threat narrative

Attacker objective: The attacker aims to use a trusted non-human identity as a durable foothold that bypasses normal user-centric controls.

1. Entry via a compromised service account, API key, or token that was not retired after its original use case ended.
2. Escalation through excessive permissions that let the attacker reach resources beyond the workload's intended scope.
3. Impact through data access, configuration manipulation, or further abuse of trusted automation paths.

Breaches seen in the wild

• Salesloft OAuth token breach — hackers stole OAuth tokens to access Salesforce data via Salesloft.
• Internet Archive breach — unsecured GitLab authentication tokens exposed 31M Internet Archive accounts.

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 that stops at human users is now incomplete. This article reflects a common but outdated control model: identities are managed as if access only belongs to people. In modern environments, workloads, integrations, and automation paths carry as much operational power as employees do. Practitioners should interpret this as a mandate to extend governance, not as a reason to create a separate security silo.

Non-human identity governance is primarily a lifecycle problem. Discovery, ownership, rotation, and offboarding matter more than naming conventions or abstract policy statements. If a service account cannot be traced to a business owner and an expiry path, it is already a governance gap. Practitioners should build machine identity lifecycle controls into provisioning and change management.

Identity blast radius: when a single token or service account can reach multiple systems, the real risk is not just compromise but propagation. Broad access turns one credential into a lateral movement path and makes recovery slower. Practitioners should reduce blast radius through scoping, segmentation, and time-bound access.

Access reviews are only effective when the inventory is credible. Reviews that exclude hidden service accounts or unmanaged API keys create false assurance. The organisation may pass an audit while still carrying persistent access paths that no one can explain. Practitioners should prioritise identity inventory quality before relying on attestation workflows.

Machine identity risk belongs inside mainstream IAM strategy, not beside it. The article's framing is useful because it shows how NHI governance connects to compliance, operational efficiency, and least privilege. The field is moving toward identity programmes that treat human and non-human access as one governance surface. Practitioners should plan accordingly.

From our research:

• Only 5.7% of organisations have full visibility into their service accounts, according to Ultimate Guide to NHIs.
• Only 20% have formal processes for offboarding and revoking API keys, and even fewer have procedures for rotating them.
• That visibility gap is why teams should also review Ultimate Guide to NHIs , Lifecycle Processes for Managing NHIs when designing machine identity governance.

What this signals

Identity visibility has become a programme-level control issue, not an audit detail. If most service accounts are not fully visible, then inventory quality is the first dependency for every downstream governance decision. That is why teams should connect identity discovery with review workflows and not treat them as separate workstreams.

Machine identity lifecycle management now needs the same operational discipline as human access management. Provisioning, review, rotation, and offboarding should all be measurable, because unmanaged credentials accumulate quietly across pipelines and infrastructure. Teams that cannot prove those steps are happening will struggle to defend least privilege in practice.

With 96% of organisations storing secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools, the programme implication is clear: secret handling must be tied to deployment engineering, not left to periodic security checks. That is the control boundary teams should harden next.

For practitioners

• Define ownership for every non-human identity Assign a named system owner, business purpose, and expiry condition to each service account, token, API key, and certificate. If an identity cannot be owned, it should be reviewed for removal or replacement with a managed pattern.
• Inventory machine identities continuously Build a live register that covers identities created in code, CI/CD, orchestration, and third-party integrations. Reconcile it against access logs and secret stores so hidden credentials do not evade review.
• Scope permissions to workload function Reduce broad access by mapping each machine identity to a single workload or narrowly defined task. Use environment boundaries and resource tags so the credential cannot reach unrelated systems.
• Automate offboarding and rotation Trigger revocation when a workload is retired, replaced, or redeployed. Pair that with routine secret rotation so credentials do not remain valid long after the original business need has ended.
• Correlate identity telemetry with runtime context Review authentication, privilege use, and failure patterns alongside deployment events, host context, and pipeline activity. That correlation helps separate normal automation from abuse.

Key takeaways

• Non-human identities should be governed as part of IAM, not treated as an edge case.
• Visibility, ownership, and lifecycle control are the practical controls that reduce machine identity risk.
• Without continuous inventory and offboarding, access reviews give a false sense of control over privileged automation.

Key terms

• Non-Human Identity: A non-human identity is any credentialed digital entity that can authenticate and access resources without a person driving each action. It includes service accounts, API keys, tokens, certificates, bots, workloads, and AI agents. In practice, it must be governed with ownership, lifecycle controls, and review like any other privileged identity.
• Identity Blast Radius: Identity blast radius is the amount of systems, data, and automation a single credential can reach if it is compromised or over-scoped. The wider the blast radius, the more damage one stolen secret can cause. Reducing it means narrowing permissions, segmenting environments, and limiting credential lifetime.
• Service Account: A service account is a machine identity used by software or infrastructure to authenticate and perform automated tasks. It often has no human user behind it, which makes ownership and offboarding easy to miss. Security teams should treat service accounts as governed identities with explicit scope and expiry.
• Access Review: An access review is a periodic check that validates whether an identity still needs its current permissions. For non-human identities, the review must confirm workload ownership, credential freshness, and whether the access is still tied to an active business function. Without that context, reviews can miss hidden privilege.

What's in the full article

Astrix Security's full article covers the operational detail this post intentionally leaves for the source:

• How the vendor defines non-human identity discovery within its broader IAM framing
• How suspicious non-human activity is detected and tied to governance workflows
• How the article positions compliance and administrative efficiency as outcomes of better identity coverage

👉 Astrix Security's full article covers the IAM framing and operational claims in more detail.

Deepen your knowledge

Identity and access management for non-human identities is a core topic in our NHI Foundation Level course, the industry's only accredited NHI security programme. If your team is extending IAM beyond users and contractors, the course is a practical next step.