IaC ownership for NHI governance depends on code provenance

At a glance

What this is: This is a blog post about assigning ownership to IaC-created non-human identities, with the key finding that provenance through code, modules, and pipeline inputs matters more than the final cloud resource event.

Why it matters: It matters because IAM, IGA, and NHI programmes cannot govern what they cannot attribute, and IaC-generated identities quickly outpace log-based ownership models in shared cloud delivery pipelines.

👉 Read Token Security's analysis of IaC ownership for NHI identities

Context

Infrastructure as code creates identities by turning repository state into cloud resources, which means the ownership question starts before the resource exists. In NHI governance, that is the hard part: the final IAM object is visible, but the human decision chain behind the code, module, or pipeline often is not.

The article shows why cloud logs alone are not enough for NHI ownership. When roles, policies, and service identities are produced by modules, variables, and CI/CD triggers, identity governance has to trace provenance across code paths, not just execution events. For broader NHI lifecycle thinking, see the Ultimate Guide to NHIs , Lifecycle Processes for Managing NHIs.

Key questions

Q: How should teams assign ownership for identities created by infrastructure as code?

A: Start with code provenance, not the final cloud resource event. The useful ownership record usually comes from the commit history, module path, and pipeline inputs that produced the identity. Cloud logs still matter, but they rarely tell you which human should fix a problem or approve a change when automation created the object.

Q: Why do IaC-generated identities complicate NHI lifecycle management?

A: Because a single deployment can create many identities through shared modules, variables, and pipeline triggers, and each identity may inherit permissions from code that was written by different people at different times. That makes joiner, mover, and leaver logic harder to apply unless the source code lineage is part of the lifecycle record.

Q: What breaks when security teams rely only on cloud audit logs for NHI ownership?

A: They lose the human context that explains why the identity exists, who requested it, and which code path generated it. Audit logs show execution, but not always intent or authorship. Without provenance from repositories and CI/CD systems, ownership becomes ambiguous and remediation slows when an NHI is over-privileged or misconfigured.

Q: How can organisations reduce ownership ambiguity for service accounts and roles created by Terraform?

A: Use repository-level metadata, module-aware tagging, and change management controls that connect each generated identity back to the code and the approving human. That creates a repeatable line from source file to identity object, which is far more useful than trying to infer ownership after deployment.

Technical breakdown

Why IaC-generated identities break log-based ownership

Traditional ownership models assume a human directly creates or modifies an identity, leaving a clear event trail. IaC breaks that assumption because the action is mediated through Terraform, modules, state, and pipeline automation. The identity is created by code, but accountability may sit with the committer, the pipeline maintainer, the module author, or the requester. That makes the final cloud event a poor source of truth for ownership. In practice, NHI governance has to treat the repository as part of the identity lifecycle, not just the cloud control plane.

Practical implication: build ownership lineage from source control and pipeline metadata, not only from cloud audit logs.

Tag-based provenance as an ownership technique

The tag-based approach described in the post tries to propagate file provenance into the generated Terraform plan so the resulting identity can carry references to the module, resource, and input files that shaped it. This is a practical way to map infrastructure code to identity creation without parsing every possible IaC pattern. But it is still a provenance strategy, not a perfect ownership oracle. It works best when code paths are disciplined and tags survive inheritance across modules and wrappers such as Terragrunt.

Practical implication: use provenance tags to support ownership decisions, but validate that modules preserve metadata end to end.

Why multi-platform IaC makes NHI governance harder

IaC rarely lives in a single tool or repository. The article points out the mix of cloud provider behaviour, state management, module reuse, and repository structure, all of which make ownership inference harder as environments scale. That is an NHI governance problem as much as an engineering problem because it widens the gap between who changed the code and who can be held responsible for the identity. The more distributed the delivery chain, the more fragile simple ownership assumptions become.

Practical implication: map identity ownership across repositories, modules, and deployment pipelines before relying on it for access reviews.

NHI Mgmt Group analysis

IaC ownership is an NHI governance problem, not just a DevOps convenience issue. The article makes a useful point: an identity created through code still needs a human owner, but the direct creator is often an automation role rather than the accountable person. That means lifecycle governance has to follow the code provenance chain, not the cloud event alone. The implication is that NHI programmes need ownership models that survive delegation through modules and pipelines.

Tag-based provenance is a practical workaround, but it is not the same as authoritative accountability. Tags can preserve clues about which files contributed to an identity, which is useful for remediation and internal routing. But provenance metadata can be incomplete, inherited unevenly, or lost across tool boundaries. This is a good example of where NHI lifecycle control and engineering telemetry intersect, and practitioners should treat tags as evidence, not proof.

Code-driven identity creation collapses the assumption that ownership is visible at the resource layer. That assumption was designed for direct, human-paced creation events. It fails when identities are produced through commit-triggered workflows, modules, and shared pipelines because the accountable human may be several steps removed from the final object. The implication is that ownership certification must move upstream into source control and change governance.

IaC-generated identities expose a wider identity blast radius than most teams recognise. One commit can create many roles, policies, and permissions across environments, which means a single governance failure can scale very quickly. That makes IaC one of the clearest examples of why NHI governance cannot be reduced to post-creation review. Practitioners need to connect code provenance, review controls, and identity inventory in the same control plane.

Identity provenance debt: when the code path that created an NHI cannot be traced back cleanly to a human owner, remediation slows and accountability weakens. This is the core operational risk in the article. The more modular and decentralised the IaC estate, the more that debt accumulates. Practitioners should recognise it as a lifecycle governance gap that compounds over time.

From our research:

• 88.5% of organisations acknowledge that their non-human IAM practices lag behind or are merely on par with their human identity and access management efforts, according to The 2024 Non-Human Identity Security Report.
• In the same study, 35.6% of organisations cite managing consistent access across hybrid and multi-cloud environments as their top NHI security challenge.
• That gap is why lifecycle tracing and ownership provenance deserve attention alongside Ultimate Guide to NHIs , Lifecycle Processes for Managing NHIs.

What this signals

Identity provenance debt: the more identities are produced by code, the more governance depends on tracing authorship and intent back through repositories, modules, and pipelines. That is not a logging problem alone, it is an identity lifecycle problem that needs to be handled before review cycles ever begin.

When IaC ownership cannot be mapped cleanly, access reviews become weaker because reviewers cannot tell whether the accountable human is the module author, the committer, or the pipeline maintainer. The control gap sits upstream of certification, which is why provenance metadata and change governance need to be part of the operating model.

Teams that are already stretched by NHI sprawl should prioritise provenance controls over ad hoc remediation. For context on the broader NHI control surface, compare this problem with the patterns in the 52 NHI Breaches Analysis and the Top 10 NHI Issues.

For practitioners

• Trace ownership from source control to cloud identity Capture the commit, module, and pipeline metadata that contributed to each IaC-created identity, and require that lineage to be available when an identity is reviewed or remediated.
• Standardise provenance tags across IaC repositories Apply consistent tagging patterns to resource files, module files, and input files so the identity record carries enough context for ownership review.
• Validate tag inheritance through module chains Test that metadata survives resource, module, and wrapper transitions, especially when Terraform modules are reused or Terragrunt inputs are introduced.
• Link identity reviews to code review gates Treat new or modified IaC that creates roles, policies, or service identities as an access governance event and route it through code review and approval.

Key takeaways

• IaC-created identities are hard to govern because the accountable human is often separated from the final cloud object by code, modules, and automation.
• Tag-based provenance can help, but it should be treated as evidence for ownership rather than a complete accountability model.
• NHI programmes need source-control lineage, pipeline metadata, and lifecycle governance to make IaC ownership usable for remediation and review.

Key terms

• Infrastructure as Code: Infrastructure as Code is the practice of defining cloud and system resources in version-controlled files rather than by hand. For identity governance, it means roles, policies, and service identities can be created, changed, and replicated at software speed, which makes ownership, review, and offboarding much harder to track.
• Identity Provenance: Identity provenance is the traceable path from the code, pipeline, or human action that caused an identity to exist. In NHI governance, it links the resource back to authorship and intent, which is critical when the cloud event alone does not reveal who should be accountable for the identity.
• Tag-Based Controls: Tag-based controls attach metadata to resources so systems and reviewers can classify, search, or govern them consistently. For NHIs, tags can carry ownership clues from IaC code into the created identity, but they only work if metadata survives module inheritance and deployment wrappers.

What's in the full article

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

• A Terraform plan walkthrough showing how provenance tags were injected into generated identity records.
• The specific file types that were tagged, including module files, resource files, and Terragrunt input files.
• The practical limitations that appeared when tag inheritance broke across chained IaC objects and wrappers.
• The implementation trade-offs that led the team to abandon the tagging approach for large-scale deployment.

👉 Token Security's full post covers the Terraform tagging method, module inheritance issues, and the limits of provenance-based ownership.

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 responsible for identity security strategy or NHI governance in your organisation, it is worth exploring.