Scanners rank code findings by rule class, which is why a hardcoded credential in an abandoned prototype outranks a permissive IaC module that provisions your production ingress. Cloudanix uses code-to-cloud lineage to score a code finding against the thing the code actually becomes.
Scanning earlier was the right move. Ranking findings by rule class instead of by consequence is the part that did not improve.
An IaC pattern in a module that provisions your public ingress and the same pattern in an unused example directory are not comparable risks. Rule-level severity cannot distinguish them.
Findings in prototypes, vendored samples and abandoned branches compete with findings in the modules that actually run production. Volume goes up, trust goes down.
A gate that blocks a merge on a finding the developer can see is irrelevant teaches them to route around the gate. Precision in severity is what makes enforcement survivable.
The same model as the cloud surfaces. The hard part is not the scoring — it is establishing, reliably, which runtime resource a given piece of code is responsible for.
Cloudanix ties a repository, module and commit to the pipeline run that deployed it and the cloud resource it produced. That join is what gives a code finding any context at all — without it, a scanner is guessing.
The deployed resource's exposure, environment and data classification become factors on the code finding. The graph already holds all three for the cloud side.
For application findings, whether the vulnerable path is actually invoked at runtime matters as much as whether it exists. An unreachable code path is a real finding at a lower priority.
The effective severity travels to the PR comment, the merge gate and the owning team's queue — so the gate blocks on the findings that justify blocking and lets the rest through with a note.
All of these come from the runtime side of your estate rather than the source file — which is why a code scanner without a cloud graph cannot rank your findings this way.
Whether the code reaches production, a lower environment, or nothing at all. The single largest discriminator in a code queue.
Whether the resource this code provisions or runs on is internet-reachable, resolved from the cloud graph rather than inferred from the manifest.
Whether the vulnerable function or dependency is actually invoked at runtime, as opposed to present in the tree.
Whether the deployed resource handles or reaches regulated data. Borrowed wholesale from the cloud-side classification.
For secret findings, whether the exposed credential is still active. A rotated key is a hygiene item; a live one is an incident.
Whether the change came from a human or an AI coding agent. Not inherently worse — but volume and failure modes differ, which is the subject of coding agent guardrails.
A standalone code scanner has no way to know whether the module it flagged deploys your public ingress or nothing at all. That answer is in the cloud graph, which is why lineage is the enabling capability.
A finding does not change meaning as it moves from a pull request to a production resource — same severity, same explanation, all the way through.
Merge gates are only sustainable when they fire on findings developers agree are serious. Precision in severity is what buys the right to block.
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It is code-finding severity derived from the runtime the code produces — its environment, exposure, data proximity and reachability — rather than from the rule class alone. The general model is on the overview.
The strongest signals are that the code is deployed to production, the resource it provisions is internet-reachable, the vulnerable path is genuinely invoked at runtime, an exposed credential is still live, or a regulated data store sits downstream. A finding in an unused example directory with no runtime counterpart sits at the bottom of the same queue.
Because a misconfiguration finding already sits on the asset whose context it needs. A code finding has to be joined to a runtime resource first, through a pipeline, an image and a deployment — and a wrong join produces a confidently wrong severity, which is worse than a blunt one.
No. CVE and dependency severity is finding-level and comes from CVSS plus exploit intelligence — there is no rule severity to adjust. That is handled by vulnerability prioritization. Contextual severity here applies to rule-based code findings: SAST rules, IaC rules, secret rules.
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