Static Application Security Testing in CI

Best Practice: Static Application Security Testing in CI

Static Application Security Testing (SAST) analyzes source code, bytecode, or binaries for security weaknesses without running the program. Running SAST inside continuous integration means every change is scanned automatically, so vulnerabilities such as injection flaws, hard-coded secrets, and unsafe deserialization are caught early, when they are cheapest to fix. This is a core part of shifting security left and of DevSecOps. The practical challenge is signal quality: SAST tools can produce false positives, so the goal is to tune rules, gate on high-confidence findings, and give developers fast, actionable feedback rather than an unmanageable backlog.

Step-by-Step Implementation Guidance

1. Choose SAST tools that cover your languages and frameworks.
2. Add a scan step to the CI pipeline that runs on every pull request.
3. Start in non-blocking mode to baseline existing findings without halting work.
4. Triage results, suppress confirmed false positives, and tune rules.
5. Gate merges on new high-severity findings once the noise is under control.
6. Surface results in the pull request and in a central dashboard.
7. Track remediation over time and review rule coverage regularly.

Common Mistakes Teams Make When Ignoring This Practice

• Running security scans only at release time, when fixes are expensive.
• Enabling every rule at once and drowning developers in false positives.
• Treating SAST as a replacement for dependency scanning and DAST.
• Ignoring findings because results are not surfaced in the developer workflow.
• Failing to baseline, so legacy issues block every new change.

Tools and Techniques That Support This Practice

• SAST engines: Semgrep, SonarQube, CodeQL, Bandit, Brakeman.
• Secret scanning: git-secrets, Gitleaks, GitHub secret scanning.
• CI integration: GitHub Actions, GitLab CI, Jenkins.
• SARIF for standardized findings and code-scanning dashboards.
• Baseline and suppression files to manage existing issues.

How This Practice Applies to Different Migration Types

• Cloud Migration: Scan infrastructure-as-code and application code for cloud misconfigurations and secrets.
• Database Migration: Catch SQL injection and unsafe query construction in data-access code.
• SaaS Migration: Review new integration code for insecure handling of credentials and tokens.
• Codebase Migration: Use SAST to find vulnerabilities carried over or introduced during a rewrite.

Checklist

• SAST tools cover the project's languages and frameworks.
• Scans run automatically on every pull request.
• Existing findings are baselined to avoid blocking all changes.
• False positives are triaged and suppressed.
• Merges gate on new high-severity findings.
• Results appear in the developer workflow.
• Remediation is tracked over time.