by SkylosCA9 Blog
Field notes on reducing noisy SCA findings, using coverage evidence, and deciding which Python CVEs need action first.
How CA9 separates reachable known Python CVEs today and how a defensive agent can surface unknown vulnerability candidates in owned code.
A practical guide to using import and coverage evidence to separate reachable Python CVEs from dependency scanner noise.
A workflow for ranking Python SCA alerts by reachability evidence before assigning fixes to engineering teams.
How test coverage can strengthen vulnerability reachability decisions for Python packages, modules, and code paths.