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.
Per developer, per repository, per scan, or per asset: how common SCA pricing metrics work, who they favor, and what to ask so your costs stay predictable.
What to confirm before signing for a software composition tool so you can leave later: exports, suppression history, SBOMs, policies, and integrations.
How to build a weighted scorecard for choosing a software composition analysis tool, with criteria, weights to adjust, and how to score evidence honestly.
SAST checks code logic, secret scanning checks for credentials, IaC scanning checks infrastructure files. A direct comparison with what each misses.
Turn a polished SAST demo into evidence. Ten requests to make live, from scanning your own code to showing suppressions, so you compare tools fairly.
Track age of open high findings, owner coverage, confirmed rate per rule, suppression reviews and new versus fixed. Five metrics and how to read them.
A migration checklist for moving to a new static analysis tool: export suppressions, map rules, run in parallel, re-baseline and keep audit evidence.
Severity says how bad a flaw could be. Confidence says how likely the finding is real. Why a good SAST tool reports both and how to triage with them.
For most teams, start with software composition analysis, then add static analysis, then dynamic testing. Here is the reasoning and the exceptions.
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