Because the identities that sign, build, approve, and deploy software can change the final outcome more than the code itself. Service accounts, CI tokens, and release credentials often have broad privileges and weak lifecycle controls. If those identities are not governed, the supply chain can be compromised without a visible perimeter breach.
Why This Matters for Security Teams
Software supply chains are an identity problem as much as a code integrity problem. Build systems, package registries, signing services, deployment pipelines, and approval workflows all depend on non-human identities that can act faster and more broadly than a person. When those identities are over-privileged, long-lived, or poorly inventoried, an attacker does not need to break the application to influence it.
The risk is not limited to source code theft. A compromised CI token can publish malicious artifacts, a leaked signing key can make tampered software look trusted, and a stale release credential can bypass normal review. Current guidance from the NIST Cybersecurity Framework 2.0 supports treating this as a governance and resilience issue, not just a tooling issue, because identity controls shape how trustworthy software becomes before it ever reaches production.
Security teams often miss the point that software integrity is only as strong as the identities allowed to change, attest, approve, and ship it. In practice, many security teams encounter supply chain compromise only after a trusted pipeline account has already been abused, rather than through intentional identity governance.
How It Works in Practice
Identity governance for software supply chains starts by mapping every non-human identity that touches the lifecycle: source control bots, build runners, artifact signers, dependency mirroring services, deployment agents, and emergency break-glass accounts. Each identity should have a clear owner, purpose, expiration rule, and scope boundary. The goal is to make privileged actions traceable to a legitimate workflow, not just to a machine account that happens to work.
Practically, this means separating duties so the same identity cannot both build and approve, or both package and deploy without additional controls. Short-lived credentials are preferred over static secrets, and secret storage should be tied to rotation and revocation workflows. Where signing is involved, key custody matters as much as the code pipeline itself. The OWASP Non-Human Identity Top 10 is useful here because it highlights lifecycle, exposure, and privilege risks that often appear first in automation systems rather than in human access reviews.
- Inventory all pipeline identities and associate each one with a named business or engineering owner.
- Use least privilege for build, test, sign, and deploy stages rather than reusing a single powerful token.
- Rotate secrets and keys on a defined schedule, and revoke them immediately when workflows change.
- Require logging for identity events such as token issuance, signing, approval, and deployment.
- Validate artifact provenance so downstream systems can distinguish trusted output from unsigned or altered packages.
For high-assurance environments, attestation and provenance checks should be combined with policy enforcement in CI/CD, because trust in the repository alone is not enough. These controls tend to break down when legacy pipelines depend on shared secrets and manual release steps because ownership, rotation, and revocation become unclear.
Common Variations and Edge Cases
Tighter identity control often increases delivery overhead, requiring organisations to balance release speed against stronger assurance. That tradeoff becomes especially visible in fast-moving DevOps environments, where teams want automated builds but still need explicit approval boundaries and traceable signing authority. Best practice is evolving, but there is no universal standard for how much human approval must sit inside each pipeline stage.
Some environments need stronger treatment than others. Regulated software, safety-critical systems, and externally distributed packages usually justify stricter provenance, key custody, and segregation of duties than internal tooling. In contrast, low-risk internal automations may tolerate simpler controls if they are still inventoried and monitored. The important point is that the identity governance model should match the blast radius of the pipeline identity, not the convenience of the team using it.
Edge cases also arise when third-party build services, ephemeral runners, or federated identity systems are used. These can improve security by reducing static secrets, but they also create new trust dependencies that must be reviewed. If a vendor-managed service can sign or deploy on behalf of the organisation, that service becomes part of the identity governance boundary and should be treated that way in policy and audit.
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, MITRE ATLAS and CSA MAESTRO address the attack and risk surface, while NIST CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | PR.AC-1 | Supply chain identities need governed access relationships and ownership. |
| OWASP Non-Human Identity Top 10 | Pipeline tokens, service accounts, and signing keys are core non-human identity risks. | |
| NIST AI RMF | Identity-governed pipelines support trustworthy AI and software provenance decisions. | |
| MITRE ATLAS | AML.TA0005 | Model and pipeline poisoning often exploit compromised identities in the delivery chain. |
| CSA MAESTRO | Agentic and automated workflows need explicit trust, authority, and lifecycle controls. |
Inventory non-human identities across build and release paths, then enforce lifecycle, privilege, and rotation controls.
