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.
Three approaches to static analysis compared with no vendor names: what each finds, where each fails and how to test them against your own code.
A one page structure for presenting a static analysis pilot to leadership: goal, method, data, trade-offs, recommendation, cost drivers and next steps.
A five question survey you can give developers at the end of a static analysis pilot, with how to score it and how to weigh it against findings data.
Diff scans give fast feedback on new code, full scans catch cross file flows and old issues. Use diff scans in pull requests and full scans on a schedule.
A first SAST scan of an old codebase can return thousands of findings. How to test baselining and new-code-only reporting before you commit to a tool.
Rust removes whole bug classes in safe code, but unsafe blocks, logic flaws and dependencies remain. What static analysis adds and how cargo audit fits in.
SAST for Python parses code into a syntax tree and flags risky calls such as eval, shell use and weak crypto. What it finds, misses and how to begin.
A linter finds code quality bugs. A SAST scanner finds security flaws such as injection and unsafe sinks. How they differ for JavaScript and TypeScript.
Java SAST often analyzes compiled bytecode, so it may need a successful build first. What it finds, what that means for CI and how to set it up.
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