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02/08/2026 9:39 am
TL;DR: Container security is moving from image-only scanning to build-to-runtime context, with OX Security arguing that exploitable risk usually starts in pipelines, registries, or code rather than inside the container itself. The practical shift is toward reachability, provenance, and runtime context, not raw CVE volume.
NHIMG editorial — based on content published by OXSecurity: an analysis of enterprise container security platforms and build-to-runtime container risk
By the numbers:
- The Cloud Native Computing Foundation reports that 89% of organisations use cloud-native technologies, and 93% are either using, piloting, or analysing container-based platforms in production.
- A SentinelOne article found that 87% of container images in production contain high or critical security vulnerabilities.
Questions worth separating out
Q: How should security teams prioritise container vulnerabilities in production environments?
A: Prioritise vulnerabilities by whether they are present in a running, reachable workload and whether exploitation is plausible now.
Q: Why do container pipelines create security risk beyond the image itself?
A: Because the pipeline carries the identities, secrets, dependencies, and provenance that shape the final artifact.
Q: What do teams get wrong about container scanning?
A: They often treat scan output as a final verdict instead of a starting point.
Practitioner guidance
- Map container findings to exploitability, not just CVSS Prioritise findings only when the vulnerable package is loaded, the workload is exposed, or the container can reach sensitive services.
- Extend secrets governance into CI/CD build paths Audit build logs, Dockerfiles, registry metadata, and pipeline variables for credentials that should never persist beyond the build step.
- Track image provenance end to end Record the commit, builder identity, dependency source, and registry origin for every container release so you can trace exposure back to a specific pipeline event.
What's in the full article
OXSecurity's full article covers the operational detail this post intentionally leaves for the source:
- A side-by-side comparison of five enterprise container security platforms across build, registry, and runtime coverage
- Specific product-level workflow examples for linking vulnerabilities to commits, owners, and remediation tasks
- Detailed discussion of OX Security's PBOM, runtime sensor, and AI remediation capabilities in large environments
- Evaluation notes on where runtime anomaly detection still needs complementary tooling
👉 Read OXSecurity's analysis of enterprise container security platforms →
Container security context gaps: what IAM and AppSec teams need now?
Explore further
02/08/2026 12:34 pm
Container security now hinges on provenance, not just vulnerability counts. Raw CVE inventories do not explain whether a finding is reachable, who introduced it, or whether it sits in a production path. That is why build-to-runtime correlation has become the real governance problem for AppSec teams. The practical conclusion is that scanning alone is an incomplete control.
A question worth separating out:
Q: How do container security controls support identity governance in CI/CD?
A: By tying build activity to accountable identities, controlling where secrets appear, and tracing which pipeline produced a deployed image. That lets IAM and NHI teams see who or what changed the artifact, whether credentials were used appropriately, and whether an image release should be trusted.
👉 Read our full editorial: Container security is shifting from image scans to build-to-runtime context
