Vulnerability Management
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.
Aug 22, 20248 min read
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 technique-by-technique tour of how modern static analyzers cut false positives, from CodeQL's path pruning to Infer's bi-abduction.
Compare Semgrep and CodeQL on rule authoring, language coverage, taint analysis, scan time, IDE integration, and pricing to choose the right SAST engine in 2024.
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.
AI-powered code review tools promise to catch vulnerabilities faster than humans. We tested the claims against reality.
detekt is Kotlin's primary static analysis tool. Its security-relevant rules catch patterns that lead to vulnerabilities in Android and server-side Kotlin.
Brakeman understands Rails conventions and catches security issues that generic scanners miss. Here is how to use it effectively.
False positives kill SAST adoption faster than anything else. Here is how to cut through the noise without missing real vulnerabilities.
GoSec finds security issues in Go source code. Here is how to get the most out of it without fighting false positives all day.
A practical comparison of SAST, DAST, and IAST — when to use each, where they overlap, and why most teams need more than one.
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