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 plain-English FAQ about the Safeguard platform — what it covers, how the pieces fit together, and how it differs from a traditional scanner-plus-dashboard stack.
How Safeguard pricing works in 2026 — the $1 Starter plan, what each tier includes, when to upgrade, and how to start with no sales call.
SAST reads your code, DAST attacks your running app, and SCA inspects your dependencies. Here is how the three application security testing methods differ, where each wins, and how to combine them.
An SBOM is a list of what's in your software. SCA is the practice of analyzing that list for risk. One is an artifact; the other is an activity.
AI now writes a large share of the code shipping to production, and it reproduces the same insecure patterns humans do — at machine speed. Here is how to keep AI-authored code from becoming your next incident.
A balanced look at the strongest Snyk alternatives in 2026 — Mend, Sonatype, Checkmarx, GitHub Advanced Security, Endor Labs, and Safeguard — with real pros and cons and a framework for choosing.
Snyk and Checkmarx solve application security from opposite ends — developer-first scanning versus enterprise SAST depth. Here is an honest, side-by-side look at both, and where a third option fits.
A precise FAQ on SOC 2 in 2026 — what it is, Type I vs Type II, the five Trust Services Criteria, observation periods, who performs the audit, and the evidence auditors actually test.
A practical FAQ on software composition analysis in 2026 — what SCA scans, how reachability cuts false positives, transitive dependencies, VEX, and how modern SCA differs from legacy scanners.
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