static-analysis
Safeguard articles tagged "static-analysis" — guides, analysis, and best practices for software supply chain and application security.
175 articles
Reachability Analysis: Cutting Through Vulnerability Noise
Not every vulnerability in your dependencies is exploitable. Safeguard's reachability analysis determines whether vulnerable code paths are actually invoked in your application.
SAST Meaning and Full Form: Static Application Security Testing Explained
SAST stands for Static Application Security Testing — analyzing source code for vulnerabilities without running it. Here is what the term means, how it works, and where it fits alongside DAST and SCA.
Static Analysis False-Positive Reduction
A technique-by-technique tour of how modern static analyzers cut false positives, from CodeQL's path pruning to Infer's bi-abduction.
Free Online Code Checkers: What They Actually Catch
An online python code checker or a free JS linter will catch syntax errors and style issues fast, but here is exactly where that coverage ends and real security scanning has to start.
SAST Tool Accuracy Benchmarks 2024: What the Data Actually Shows
Static Application Security Testing tools vary dramatically in accuracy. We analyze detection rates, false positive rates, and language coverage across leading SAST tools using standardized benchmarks.
Taint Analysis for Zero-Day Discovery: A Primer
A practitioner's walk-through of taint analysis as a zero-day discovery technique, from classic Livshits and Lam foundations to modern flow-sensitive engines.
Static Analysis vs Dynamic Analysis
Static analysis reads code before it runs; dynamic analysis watches it execute. Here's how the two differ, catch different bugs, and work best together.
CodeQL vs Semgrep: A 2026 Buyer Comparison
A practical head-to-head between CodeQL and Semgrep in 2026: query power, performance, rule authoring, and where each tool earns its place in a modern SAST program.
What Does SAST Stand For, Exactly?
SAST stands for static application security testing — analyzing source code for vulnerabilities without ever running the program, which is what separates it from every dynamic testing approach.
Semgrep vs CodeQL: Static Analysis for Security Teams
A deep comparison of Semgrep and CodeQL for static application security testing, covering rule writing, performance, language support, and practical deployment considerations.
Checkmarx vs Fortify: A Practical Comparison
Checkmarx and Fortify solve the same SAST problem with different architectures — here's how they actually differ on accuracy, deployment, and total cost.
SonarQube Security Scanning: Code Quality Meets Application Security
A review of SonarQube's security scanning capabilities, examining how its code quality heritage shapes its approach to vulnerability detection and taint analysis.
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