How should security teams govern machine credentials across cloud and CI/CD environments?

Why This Matters for Security Teams

Machine credentials are not a side topic in cloud and CI/CD security. They are the identities that actually move code, call APIs, deploy infrastructure, and read data. When those secrets are long-lived or unmanaged, attackers do not need to break in as a person; they can operate as a pipeline, service account, or build runner. That is why current guidance increasingly treats machine access as a governance problem, not just a vaulting problem, and why the OWASP Non-Human Identity Top 10 is so relevant to modern environments.

The practical challenge is visibility across cloud consoles, GitHub Actions, GitLab runners, Jenkins jobs, Terraform workflows, and container workloads that all use different credential types. NHIMG research shows the scale of the issue: in Guide to the Secret Sprawl Challenge, secret proliferation is shown to spread far beyond source code, and GitGuardian reports that 59% of compromised machines in a major supply chain attack were CI/CD runners rather than personal workstations in The State of Secrets Sprawl 2026. In practice, many security teams discover the problem only after a build credential has already been reused outside its intended pipeline.

How It Works in Practice

Strong machine credential governance starts with treating each secret as an accountable production identity. That means assigning an owner, defining the minimum scope, recording where the credential is used, and tying rotation and revocation to lifecycle events such as pipeline completion, certificate expiry, or service decommissioning. The control objective is not just to store secrets safely, but to reduce the time any credential remains valid and useful to an attacker.

For most teams, the operational pattern is a mix of inventory, policy, and automation. A useful baseline is to map service accounts, API keys, tokens, and certificates against workloads and repositories, then enforce issuance through approved systems only. In cloud and CI/CD environments, this often includes:

• Replacing shared, static credentials with short-lived tokens where possible.
• Using workload identity so systems authenticate as workloads, not as copied secrets.
• Applying just-in-time access for elevated build or deployment actions.
• Blocking plaintext secret storage in code, tickets, chat, and build logs.
• Automating revocation when a pipeline, runner, or certificate is no longer trusted.

That approach aligns with the least-privilege and access governance direction in the NIST Cybersecurity Framework 2.0 and the identity assurance concepts in NIST SP 800-63 Digital Identity Guidelines. It also matches the operational reality highlighted in NHIMG’s CI/CD pipeline exploitation case study, where pipeline trust was the attacker’s entry point rather than the target application itself. These controls tend to break down when organizations rely on manual approvals for high-volume pipelines because the exception queue becomes the weakest identity store in the environment.

Common Variations and Edge Cases

Tighter control over machine credentials often increases engineering overhead, so teams have to balance security gain against delivery friction. That tradeoff is especially visible in hybrid and multi-cloud estates, where a single workload may need different trust mechanisms for Kubernetes, a cloud IAM role, and a third-party SaaS connector.

Best practice is evolving, but current guidance suggests keeping static secrets only where no viable workload identity or ephemeral credential model exists. In those cases, shorten TTLs aggressively, scope the credential to one purpose, and monitor for reuse outside the intended boundary. This is particularly important in CI/CD, where exposed secrets are frequently consumed before incident response can rotate them, as shown in Shai Hulud npm malware campaign and GitGuardian’s finding that 64% of valid secrets leaked in 2022 are still exploitable today in The State of Secrets Sprawl 2026.

There is no universal standard for every edge case yet. For example, long-running batch jobs, external integrators, and air-gapped deployment tools may still need carefully governed static credentials, but those exceptions should be explicit and time-bounded. Teams should also recognise that secret sprawl is not limited to code repositories; operational chat and ticketing systems can be higher-risk exposure points than source control itself. In practice, mature programmes separate the question of where a secret lives from whether it should exist at all, and that distinction is what keeps cloud and CI/CD identity governance from collapsing into vault sprawl.

Related resources from NHI Mgmt Group

• How should security teams govern non-human identities in cloud environments?
• How should security teams prioritise NHI remediation in cloud environments?
• How should security teams govern machine identity credentials in agentic AI environments?
• How should security teams govern non-human identities at scale?