Because attackers often compromise the systems that build and sign software, not just the source itself. If service accounts, runners, and release tokens are invisible, teams miss the actual trust relationships that let malicious changes propagate through the pipeline.
Why pipeline identities belong in software supply chain visibility
software supply chain visibility is not just a question of which source files changed. It also has to show which pipeline identities had the power to build, sign, publish, or promote those changes, because those identities often determine whether a trusted artifact is authentic or tampered with. If you cannot see the runtime identities, you cannot really see the trust path.
That matters because build systems are often the easiest place for an attacker to turn access into reach. A compromised service account, runner, or release token can modify outputs after code review has passed, inject malicious dependencies, or push a signed artifact downstream while the source tree still looks clean. Visibility has to follow the authority, not only the commit.
Pipeline identity visibility also helps distinguish normal automation from risky delegation. A build job may inherit broad permissions from a CI platform, reuse tokens across environments, or sign releases with long-lived credentials that outlast the code they protect. When those identities are missing from inventory, teams tend to overtrust the pipeline as a black box and underinvest in the actual control points that govern release integrity.
What changes when the pipeline is part of the trust map
Once pipeline identities are in scope, the supply chain model becomes about provenance, not just repository hygiene. The security question shifts from “was the code reviewed?” to “which identity had the ability to turn reviewed code into shipped software?” That includes who can trigger jobs, who can mint or reuse tokens, which runners can reach sensitive systems, and which signing keys or cloud credentials the pipeline can access.
This broader view is especially important when the same identity can span multiple stages. A build token that only writes test artifacts is very different from a release credential that can publish to a package registry, sign binaries, or update production deployment metadata. Treating all pipeline accounts as equivalent hides the escalation path that attackers look for and makes access review too shallow to be useful.
Visibility should therefore cover both static code provenance and dynamic execution authority. In practice, that means linking commits, build jobs, signing events, artifact registries, and deployment approvals to the specific identities that acted at each step. The goal is to answer not only what was built, but who or what was trusted to build it.
Why code-only visibility fails in real supply chain investigations
Code-only views miss the most damaging failures because the malicious change is often introduced after the repository boundary. A poisoned pipeline can fetch a clean commit, run a malicious build step, and emit an artifact that no longer reflects the source at review time. If the investigation stops at the pull request, the real compromise path remains invisible.
That is why pipeline identity data is so valuable during triage. It shows whether a build was triggered by an expected automation account, whether a release credential was reused unexpectedly, whether a runner had excessive network reach, and whether signing or publishing rights were broader than the source changes justified. Those are the differences between a harmless build and a trust-breaking one.
For a broader supply chain view, standards and practitioner guidance already emphasize artifact provenance and secure build controls, including NIST SSDF (SP 800-218), SLSA, and OpenSSF. Those models become much stronger when the identities operating the pipeline are visible alongside the artifacts they produce.
Risk and Threat Considerations
When pipeline identities are invisible, attackers can abuse trusted automation to bypass review, persistence checks, and downstream trust assumptions. The result is not just a compromised build, but a compromised release authority, which can propagate malicious code, stolen secrets, or tampered artifacts across every consumer that trusts the pipeline.
Failure mechanism: An attacker compromises a runner, service account, or release token, then uses that identity to alter build output, sign artifacts, publish packages, or move laterally into connected systems before the source repository shows any obvious change.
Impact: Teams lose the ability to distinguish legitimate automation from hostile action, which can lead to silent artifact poisoning, credential exposure, false trust in signed releases, and broader downstream compromise.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 and OWASP API Security Top 10 address the attack and risk surface, while SLSA and NIST SP 800-53 Rev 5 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| SLSA | Supply-chain Levels for Software Artifacts | Directly addresses build provenance and artifact integrity in software supply chains |
| Recommendation — Adopt SLSA controls to verify build provenance and reduce trust in opaque pipeline outputs. | ||
| NIST SP 800-53 Rev 5 | IA-5 — Authenticator Management | Pipeline tokens and signing credentials need lifecycle control to limit release abuse |
| IA-9 — Service Identification and Authentication | Build runners and automation identities must authenticate as distinct trusted pipeline actors | |
| Recommendation — Manage pipeline secrets with IA-5 controls to rotate, revoke, and constrain release credentials. Use IA-9 to authenticate runners and automation services as separate pipeline identities. | ||
| OWASP Non-Human Identity Top 10 | NHI-02 — Secret Leakage | Pipeline tokens and signing material are identity-enabling secrets that often drive supply-chain compromise |
| NHI-05 — Overprivileged NHI | Pipeline identities often have excessive build, sign, or publish permissions | |
| NHI-07 — Long-Lived Secrets | Long-lived release tokens and signing secrets make pipeline compromise persist | |
| Recommendation — Prevent secret leakage from CI/CD systems and rotate any exposed pipeline credentials immediately. Reduce pipeline privilege so build, sign, and publish access is limited to the minimum needed. Replace long-lived pipeline secrets with short-lived credentials and tightly scoped rotation. | ||
| OWASP API Security Top 10 | API2 — Broken Authentication | Pipeline-facing APIs and registries fail when automation credentials are stolen or reused |
| Recommendation — Harden registry and CI authentication so stolen pipeline tokens cannot be replayed easily. | ||
Practitioner Guidance
What to prioritize: Inventory the identities that can influence build, signing, and publish steps before you try to tighten source controls. If a pipeline identity can reach production registries, signing services, or deployment targets, treat it as part of the release trust boundary.
What to verify: Confirm that each pipeline identity is tied to a specific job, environment, and privilege set, with no shared “catch-all” token that can move between repositories or stages. If the same credential can build, sign, and deploy, the blast radius is already too large.
Practitioner takeaway: Supply chain visibility is incomplete until it can explain who, or what, was trusted to transform source into shipped software; otherwise, you are only seeing the beginning of the attack path.
Related resources from NHI Mgmt Group
- What breaks when code-to-cloud visibility is missing in software supply chain security?
- How should security teams govern software supply chain risk when CI/CD identities can publish code?
- What is the difference between code-only AppSec scanning and end-to-end software supply chain visibility?
- What is the difference between protecting source code and protecting the build pipeline in software supply chain security?