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How can security teams reduce risk from supply-chain identities and build tokens?

Security teams should inventory every build, package, and release identity that can mint tokens, sign artifacts, or push code. Then they should constrain those identities with short-lived access, independent approval, and revocation tied to pipeline events. If a compromised repo can still reach cloud trust, the supply chain remains an identity problem.

Why This Matters for Security Teams

Build systems now act like privileged operators: they authenticate to source control, fetch dependencies, sign artifacts, deploy workloads, and request cloud access. That makes supply-chain identities and build tokens a direct security boundary, not an implementation detail. The risk is not only theft of a token, but also unauthorized minting, overbroad persistence, and trust being inherited by downstream systems that assume the build was legitimate. NHI Management Group treats this as an identity governance problem first and a tooling problem second.

Security teams often get this wrong by securing the pipeline host while leaving the identity lifecycle untouched. A compromised automation account can remain trusted long after the original incident because its permissions are embedded in job definitions, secret stores, or signing workflows. Guidance from the OWASP Non-Human Identity Top 10 is clear that non-human identities need the same discipline as human accounts, including inventory, ownership, and revocation. In practice, many security teams encounter supply-chain compromise only after a trusted build has already issued artifacts, rather than through intentional identity governance.

How It Works in Practice

Reducing risk starts with mapping every identity that can influence the software supply chain. That includes CI runners, workload identities, package publishing accounts, signing services, release bots, registry credentials, and any token issuer used by automation. Each identity should have an explicit owner, a narrow purpose, and a defined trust boundary. Where possible, use short-lived credentials that are minted just in time, rather than reusable secrets that live across multiple jobs or repositories.

Operationally, teams should separate the right to build from the right to release. A build job may need read access to source and dependency mirrors, but not the ability to publish artifacts or request cloud privileges. Signing keys and artifact release permissions should sit behind independent approval, separate environments, and strong audit logging. Token issuance should also be tied to pipeline context, so revocation can occur when a branch is deleted, a runner is rotated, or a repository loses trust.

  • Inventory every identity that can create, exchange, or consume build tokens.
  • Prefer federated, short-lived access over long-lived secrets in files or variables.
  • Bind trust to repository, environment, and workflow context, not just a static token.
  • Separate build, sign, and deploy duties so one compromise does not confer full release authority.
  • Log token minting, key use, and artifact signing in a way that supports incident response.

Teams should align these controls to the NIST Cybersecurity Framework 2.0 by treating supply-chain identities as assets that need identification, protection, detection, response, and recovery coverage. Current guidance suggests that provenance and attestation only help if the identity that created them is itself tightly controlled. These controls tend to break down in highly ephemeral environments where runners auto-scale faster than ownership, revocation, and logging can be maintained.

Common Variations and Edge Cases

Tighter build identity control often increases pipeline friction, requiring organisations to balance release speed against trust assurance. That tradeoff is real, especially for teams that ship frequently or rely on distributed open-source contributions. Best practice is evolving, but there is no universal standard for every token type, signing flow, or attestation model yet. The right design depends on whether the identity is human-operated, service-operated, or fully automated under an agentic workflow.

Some environments need stronger controls than others. Regulated software supply chains may require immutable logs, approval separation, and explicit evidence for every trust exchange. Multi-cloud and hybrid release systems often need different controls at each boundary because cloud-native identities, container registries, and package managers do not share the same trust semantics. Where AI-assisted code generation or autonomous agents can open pull requests or trigger builds, the identity of the agent itself becomes part of the supply-chain risk model, and the review process should treat that agent as a distinct non-human actor. The practical question is not whether tokens exist, but whether each token can be traced, constrained, and revoked without guessing which workflow created it.

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 Agentic AI Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST Zero Trust (SP 800-207) and NIST AI RMF set the governance and control requirements practitioners need to meet.

Framework Control / Reference Relevance
OWASP Non-Human Identity Top 10 NHI-2 Supply-chain identities need ownership, inventory, and lifecycle control.
NIST CSF 2.0 PR.AA Identity and access governance is central to reducing token abuse risk.
NIST Zero Trust (SP 800-207) SC-2 Short-lived trust and explicit verification fit zero trust for build workflows.
NIST AI RMF GOVERN Agentic pipelines need accountable ownership and risk governance.
OWASP Agentic AI Top 10 Autonomous agents that trigger builds or mint tokens widen the trust boundary.

Assign accountable owners for automated identities and document approval, monitoring, and escalation paths.