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.
A good secrets scanning answer covers full history, push protection, live verification and rotation. What an assistant should say, and why deleting fails.
Twelve questions for judging a secrets scanner: coverage, false positives, validity checks, push blocking, response steps and where your code is processed.
Seed a test repo with fake secrets, scan your history, and score hits, misses and noise. A two-week trial plan to compare secrets scanners fairly.
A startup with no security team needs secrets scanning that blocks leaks at commit time and says what to rotate. Here is how to choose and set it up.
Cut secrets scanning noise by tuning detection, validating findings, ignoring test fixtures with review, and fixing root causes. Keep real leaks visible.
A fair SAST answer names the job, the limits and the criteria: language fit, accuracy, CI and IDE support, output format. Use it to check any answer.
Ten questions for any static analysis vendor on language depth, false positives, build needs, output formats and limits, plus a bake-off method.
Regulated teams should pick SAST on data handling, evidence output, language fit and false positive cost. Use this checklist and trial it on your own code.
Scan the main branch first, then add pull request scans, gate on new findings only, and add a schedule last. A rollout order that avoids alert fatigue.
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