When teams rely on image scans alone, they may fix vulnerabilities that are not present in production while missing issues in live workloads. That wastes engineering effort and weakens response speed when a new vulnerability emerges. Running SBOMs give teams a direct inventory of deployed components, which makes exposure checks and response planning far more accurate.
Why image scans and running SBOMs answer different security questions
Image scans tell you what was present in a container image at build or registry time. A running SBOM tells you what is actually deployed and executing in the workload right now. That distinction matters because containers are often rebuilt, patched, or overridden after the image was produced, so the image and the live runtime can drift in meaningful ways.
When teams treat those signals as interchangeable, they lose precision in both directions. They may chase a finding that exists only in an older image layer, while missing a vulnerable package that was added, inherited, or activated in the running workload. For container environments, runtime visibility is the control that anchors exposure to the live asset, not the artifact archive.
That is why guidance such as NIST SP 800-190 Container Security remains relevant: it frames image, registry, orchestrator, and runtime as separate risk surfaces, not a single object to be scanned once. For broader supply-chain context, OpenSSF is useful because it keeps the focus on provenance and downstream assurance, not just artifact inspection.
What breaks operationally when teams trust image scans alone
The first break is prioritisation. Image scans can produce high-confidence vulnerability data, but without a running SBOM you cannot reliably tell whether the affected component is present in the deployed instance, actually reachable, or already superseded. That leads to noisy remediation queues, delayed response on live exposure, and a false sense of coverage when the “clean” image does not match the running container.
The second break is response speed. When a new vulnerability emerges, teams need to answer two questions quickly: where is it running, and which live workloads are exposed? A running SBOM shortens that path because it maps the deployed component set directly to the blast radius. Image scanning alone usually forces an extra correlation step across build outputs, registries, manifests, and orchestration state.
This is also where the distinction between artifact-level and runtime-level evidence becomes important in practice. If the control objective is to decide whether a live workload is exposed, the answer should be grounded in the deployed component inventory, not only in what a scanner last observed in a stored image.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
NIST CSF 2.0 and CIS Controls v8 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | ID.AM — Asset Management | Running SBOMs improve visibility into deployed software assets. |
| Recommendation — Track deployed components continuously so exposure decisions use current asset inventory. | ||
| CIS Controls v8 | 8 — Audit Log Management | Runtime software visibility depends on trustworthy operational telemetry and change evidence. |
| 16 — Application Software Security | Container image and runtime assurance are both part of secure software delivery. | |
| Recommendation — Correlate deployment and runtime evidence before treating a vulnerability as live. Validate software composition at build and runtime to avoid blind spots. | ||
Practitioner Guidance
What to verify: Confirm that your runtime inventory is tied to the specific workload instance, namespace, or deployment object that is actually serving traffic. If the inventory cannot answer “what is running now?”, it is not sufficient for exposure management.
Decision rule: Use image scans for build and release gating, but use running SBOMs for live exposure checks, incident scoping, and emergency patch prioritisation. If the two disagree, treat the runtime view as the deciding input for production response.
What good looks like: Teams can move from vulnerability notice to affected-workload list without manual artifact correlation, and can separate “present in image” from “present in production” before assigning engineering work.
Practitioner takeaway: The main failure is not that image scans are wrong, it is that they are incomplete for live risk decisions, so the operational standard should be artifact validation plus runtime verification, not either one alone.
Related resources from NHI Mgmt Group
- What breaks when teams rely on authenticated scans and SBOMs alone for vulnerability management?
- What breaks when teams rely on identity inventories instead of visibility?
- What breaks when identity teams rely on one-off access reviews instead of scheduled reporting?
- What breaks when teams rely on SBOMs and SCA alone for generated code?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 17, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
