TL;DR: Security review tooling divides into three layers: SAST (static code analysis for vulnerabilities), SCA (dependency/supply-chain scanning), and secrets scanning. Pick a SAST based on your workflow—Semgrep for customization, Snyk Code for IDE speed, SonarQube for code quality too. Combine it with SCA (Snyk or Dependabot) and secrets scanning (GitGuardian). Most mature teams run complementary tools rather than a single solution [1].
The Three Pillars
SAST (Static Application Security Testing) scans your own code for vulnerabilities. Tools differ on approach—Semgrep and traditional pattern-matching vs. GitHub Advanced Security’s semantic analysis vs. Snyk Code’s ML-driven IDE integration. The key trade-off: false positive rate vs. detection speed [2]. Endor Labs achieves <5% false positives through reachability verification (confirming whether your code actually calls vulnerable functions), while GitLab SAST reports high false-positive rates that slow developer adoption [1].
SCA (Software Composition Analysis) scans your third-party dependencies, which comprise 70–90% of modern applications [3]. Snyk dominates this space with reachability analysis on Java, JavaScript, and Python, reducing false alerts by 30–70% vs. simple CVE matching. Dependabot is free and built into GitHub but offers no reachability or license scanning [3].
Secrets Scanning detects hard-coded credentials before they leak. GitGuardian is the dedicated platform covering repositories, CI/CD, and infrastructure-as-code across GitHub, GitLab, Bitbucket, and Azure DevOps. Open-source options (TruffleHog, Gitleaks) work locally but require more integration effort [3].
Picking Your Stack
For SAST, the choice hinges on integration friction and false-positive tolerance [2]:
- Semgrep if you need highly customizable YAML rules and tight CI control.
- Snyk Code if you want real-time IDE feedback and fast GitHub/GitLab PRs, accepting cloud-only hosting.
- SonarQube if you’re enforcing code quality gates alongside security—it bridges the gap with 6,500+ rules across 35+ languages, though tuning to reduce noise takes work [4].
For SCA, Snyk wins on deep analysis; Dependabot wins on simplicity and cost (free in GitHub). For regulated industries or license-heavy stacks, Snyk’s license scanning earns its paid tier [3].
The Layering Pattern
A mature program stacks all three layers rather than choosing one. Semgrep + Snyk + GitGuardian is a common pattern because each solves a distinct problem [1]. The critical success factor is adoption—tools that integrate with your existing CI/CD and IDE with minimal friction win. Snyk Code’s real-time feedback and Semgrep’s lightweight CI integration both succeed because developers see results in their workflow, not in a separate dashboard [2].