Use asynchronous repository scanning to maintain a continuously updated inventory while keeping CI focused on test, build and release checks. That approach reduces pipeline latency, preserves developer throughput and gives security teams current evidence without forcing every pull request through a full dependency analysis.
Why This Matters for Security Teams
SBOM generation looks operationally simple, but it quickly becomes a release bottleneck when teams try to produce a complete inventory inside every pull request. The real issue is not the file format; it is where the analysis runs, how often it runs, and whether the workflow treats SBOM creation as a build gate or a background control. Current guidance suggests aligning the control to the NIST Cybersecurity Framework 2.0 functions for Identify and Protect, so the inventory remains useful without interrupting delivery.
Practitioners often underestimate the amount of dependency resolution, transitive relationship mapping, and package metadata normalization needed for a trustworthy SBOM. If that work happens synchronously on every commit, teams tend to trade coverage for speed or start bypassing the control altogether. The security objective should be continuous visibility, not a slow approval checkpoint that encourages exception handling. In practice, many security teams encounter missing or stale component data only after a vulnerable package has already moved through the release process, rather than through intentional inventory governance.
How It Works in Practice
The most effective pattern is to separate SBOM production from the CI path that validates code quality. CI should remain focused on build integrity, tests, artifact signing, and release eligibility, while SBOM generation runs asynchronously from the repository, dependency graph, or artifact store. That lets security teams maintain a current software inventory without paying the latency cost on every pull request. For software supply chain controls, this approach is consistent with SLSA principles and the inventory expectations described in CISA SBOM resources.
A practical implementation usually includes three layers:
- Repository or package-manager scanning on a scheduled basis to discover source dependencies.
- Artifact-level scanning after build to capture what was actually shipped, including transitive components.
- Change detection and alerting so the SBOM is refreshed when manifests, lockfiles, or base images change.
Teams should also define what “complete enough” means for their environment. For example, source SBOMs may be sufficient for early visibility, but release governance often needs build-time or image-level evidence before a package is promoted. Where agentic automation is involved, the inventory should also cover tool libraries, model-serving packages, and any secrets-handling components that can alter the attack surface. The practical goal is to make SBOM generation observable and repeatable, not interactive and slow. These controls tend to break down in monorepos and highly dynamic dependency trees because the scan scope expands faster than the pipeline can tolerate.
Common Variations and Edge Cases
Tighter SBOM requirements often increase build overhead, requiring organisations to balance traceability against developer throughput. That tradeoff is most visible in fast-moving product teams, polyglot repositories, and container-heavy environments where dependency graphs change constantly. Best practice is evolving here: there is no universal standard for whether every commit, every merge, or every release must produce the authoritative SBOM.
Some teams use a split model, where the CI pipeline produces a minimal software manifest and a separate scheduled job enriches it with license, vulnerability, and provenance data. Others only publish release SBOMs, which can be acceptable when internal controls ensure that the build artifact is immutable and traceable. For regulated environments, additional evidence may be needed to support assurance, but the control should still avoid forcing heavyweight analysis into the tightest part of the developer workflow.
Where repository scanning is not enough, artifact signing and provenance checks help close the gap. In broader software supply chain programs, this is where SBOM governance intersects with release attestation and incident response: the inventory is only useful if it can be tied back to the exact shipped artifact. That linkage matters most when a dependency is replaced late in the release process or when a container base image changes outside the application code path. For teams modernising delivery, the safest pattern is to keep SBOMs continuous, asynchronous, and auditable rather than synchronous and brittle.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Agentic AI Top 10 and MITRE ATLAS address the attack surface, NIST CSF 2.0 and NIST AI RMF set the technical controls, and EU Cyber Resilience Act define the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | ID.AM-2 | SBOMs support asset inventory and software component visibility. |
| OWASP Agentic AI Top 10 | Agentic workflows can add libraries and tools that must be inventoried. | |
| NIST AI RMF | GOVERN | AI-enabled build or release automation needs governance and traceability. |
| EU Cyber Resilience Act | Product security obligations may require software component traceability. | |
| MITRE ATLAS | Supply chain manipulation and dependency tampering are relevant threat patterns. |
Assign ownership for automated inventory generation and validate its outputs before release use.
Related resources from NHI Mgmt Group
- How should security teams implement CI/CD security without slowing delivery down?
- How should security teams reduce secrets leakage without slowing developers down?
- How should security teams govern credentials used by CI/CD pipelines?
- How can teams reduce standing privilege without slowing developers down?
