static-analysis
Safeguard articles tagged "static-analysis" — guides, analysis, and best practices for software supply chain and application security.
175 articles
JavaScript & TypeScript Code Review Tools: An Honest 2026 Guide
A balanced 2026 comparison of JavaScript and TypeScript code review tools — ESLint, Biome, Semgrep, CodeQL, SonarQube, Snyk Code — with honest tradeoffs and where Safeguard fits.
Java Code Review Tools: An Honest 2026 Buyer's Guide
A balanced 2026 comparison of Java code review and static-analysis tools — SpotBugs with FindSecBugs, PMD, Error Prone, SonarQube, Semgrep, CodeQL — with honest tradeoffs and where Safeguard fits.
Python Code Review Tools: An Honest 2026 Buyer's Guide
A balanced look at the Python code review and static-analysis tools that actually matter in 2026 — Ruff, Bandit, Semgrep, CodeQL, SonarQube, and more — with honest tradeoffs and where Safeguard fits.
PHP Code Checker Tools: How to Catch Bugs and Security Flaws in PHP
A PHP code checker can mean a syntax linter, a static analyzer like PHPStan, or a security taint scanner. Here is what each one catches and how to combine them.
What is Static Application Security Testing (SAST)
SAST scans source code for flaws before deployment. Learn how it works, where Checkmarx-style tools fall short on supply chain risk, and how Safeguard closes the gap.
Static Analysis Tools compared
Veracode built its name on SAST, DAST, and SCA for application code. Safeguard focuses static analysis on the software supply chain. Here's how the two actually differ.
Source Code Analysis Tools: SAST, Linters, and Semantic Engines
Not all source code analysis tools do the same job. Linters, pattern-based SAST, and semantic dataflow engines catch different bug classes, and mixing them up wastes budget.
How Snyk Code's semantic analysis engine builds a code mo...
A mechanical look at how Snyk Code's semantic analysis engine parses source into a code model, tracks data flow across files, and prioritizes vulnerability findings.
How taint analysis works in Snyk Code: tracking data from...
Snyk Code traces untrusted data from source to sink using interprocedural static analysis and ML ranking. Here's how the taint-tracking mechanics work.
How Snyk Code performs interprocedural data-flow analysis...
How Snyk Code tracks tainted data across function and file boundaries using call-graph summaries, taint propagation, and hybrid symbolic AI rules.
How Snyk Code models control flow to catch race condition...
A mechanical look at how Snyk Code builds control flow and data flow graphs to trace paths that produce race conditions and null pointer dereferences.
How Snyk Code distinguishes sanitizers from insecure sour...
How Snyk Code's taint-tracking engine tells sanitizers apart from insecure sources and sinks, and where the source-sink-sanitizer model still needs human review.
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