Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Following untrusted data from source to sink across a real codebase is a solved problem right up until reflection, dynamic dispatch and an ORM turn up. Knowing where the analysis stops is what makes it usable.
Any scanner can find every vulnerability by flagging everything. The number that decides whether a tool survives contact with a development team is how often it is wrong.
A scanner with no measured accuracy is a scanner with claimed accuracy. Wiring up the OWASP Benchmark gives you one number that survives scrutiny — and usually finds a crash on the way.
NVD says 9.9. The vendor says 7.0. CVSS v4 says 6.3. Collapsing that to 9.9 does not make you conservative — it discards the disagreement, which was the most informative thing you had.
A CVE that needs Windows, a dev server, and a reachable port is not exploitable because a version matched. Cataloguing what each advisory actually requires turns a lockfile diff into an argument.
Exploitability is not a boolean. Collapsing it into one loses the only state that tells a developer what to do next — and quietly converts every unanswered question into a dismissal.
A DAST scan has no repository and no commit history — only what the server sends a browser. That is enough to identify the builder that generated an app, and nowhere near enough to name the model.
Commit-level attribution answers 'lines added by commits an assistant co-authored'. That is a different sentence from 'lines an AI wrote', and the gap between them is where governance metrics go wrong.
Coding assistants sign their own work in the commit trailer block. That makes 'how much of this was AI-written' a parsing problem, not a heuristic one — as long as your tooling reads the commit body, which most of it does not.
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