Modern software delivery does not have a detection problem. Scanners, AI agents, runtime tools, and workflow systems generate more security claims than any team can manually review. The problem is knowing which claims are strong enough to support a release decision — and being able to show that basis later.
Three forces make this harder. First, AI-generated code and autonomous fixes arrive faster than traditional review processes can validate them. Second, regulators and boards increasingly ask for documented evidence behind material software decisions. Third, release velocity pressure pushes teams to treat workflow states like ticket closure as implicit proof.
Release-evidence verification addresses all three by separating signal detection from decision authority. It does not ask whether a tool found something. It asks whether the evidence behind a specific release satisfies the policy that applies to that release — and it preserves the answer.