Fastest Path: rafter ci init
Auto-generate CI config for GitHub Actions, GitLab CI, or CircleCI:
Two CI Modes
Rafter supports two approaches in CI. Choose based on whether you have a Rafter API key.Mode 1: Local Secret Scanning (no API key required)
Usesrafter secrets — the fast, deterministic scanner that runs pattern matching and Gitleaks secret detection directly on the runner. Same inputs, same findings, every time.
1 fails the pipeline if secrets are detected. No account or API key needed.
When to use: Open-source projects, teams without a Rafter subscription, or any repo where fast secret scanning at commit time is enough.
Mode 2: Backend Code Analysis (API key required)
Usesrafter run to trigger the Rafter code analysis engine for full SAST coverage — a wider range of vulnerability classes beyond secrets. Your code is deleted immediately after the analysis engine completes.
When to use: Teams with a Rafter subscription who want full SAST coverage on every push.
See Step 3 below for the complete workflow.
Introduction
Automated security scanning transforms security from an afterthought into a seamless part of your development workflow. Instead of remembering to run scans manually (and inevitably forgetting), your CI/CD pipeline automatically checks every commit and pull request for vulnerabilities. This guide shows you two approaches:- Manual setup: Step-by-step instructions for hands-on configuration
- AI-assisted setup: Copy-paste workflows with AI prompts for rapid deployment
Why Automated Security Scanning Matters
The Manual Scanning Problem
Manual security scanning has three critical flaws:- Human Error: Developers forget to run scans, especially under pressure
- Inconsistent Coverage: Different team members use different tools or settings
- Late Detection: Vulnerabilities are found after code reaches production
The Automated Solution
Automated scanning eliminates these problems by:- Running on every push: No forgotten scans
- Consistent configuration: Same rules applied every time
- Early detection: Vulnerabilities caught before deployment
- Build failure: Critical issues block deployment automatically
Understanding API Keys in CI/CD
What Are API Keys?
API keys are authentication tokens that allow automated tools to access services on your behalf. Think of them as digital keys that unlock specific capabilities—in this case, security scanning services like Rafter.Why API Keys Are Secure
API keys are designed for programmatic access and include several security features:- Scoped permissions: Keys can only access specific services
- Usage tracking: All API calls are logged and monitored
- Easy rotation: Keys can be regenerated instantly if compromised
- Environment isolation: Keys are stored separately from your code
How GitHub Secrets Protect Your Keys
GitHub Secrets provide enterprise-grade security for sensitive data:- Encryption at rest: Keys are encrypted when stored
- Encryption in transit: Keys are encrypted when accessed
- Access control: Only authorized workflows can use secrets
- Audit logging: All secret access is logged
Manual Setup: Step-by-Step Configuration
Step 1: Choose Your Mode
Refer to Two CI Modes above. If you’re using local scan, skip to Step 3 and use the local scan workflow. If you’re using backend scan, continue with Step 2 to get your API key.Step 2: Get Your Rafter API Key
(Backend scan only — skip if using local scan.) If you have an existing key saved to a safe place, copy it. Otherwise, generate a new key… Rafter protects your API keys by not storing them. You get access once, when you generate/refresh the key. Then, refreshing the key invalidates the previous key to keep it safe. It’s a way to help you rotate keys, which is best practice. Navigate to Account Settings- Go to your Rafter account settings
- Look for the “API Keys” section
- Click “Generate New API Key” or “Refresh API Key”
- The key is automatically copied to your clipboard (it won’t be shown/copiable again)
API keys are sensitive credentials. Never commit them to your repository or share them in plain text.Add API Key to GitHub Secrets
- Navigate to your GitHub repository
- Click “Settings” → “Secrets and variables” → “Actions”
- Click “New repository secret”
- Name:
RAFTER_API_KEY - Value: Paste your API key
- Click “Add secret”
Step 3: Create GitHub Workflow
Create Workflow Directory.github/workflows/security-scan.yml:
1 fails the job automatically if secrets are detected.
Option B — Backend Code Analysis Workflow (API key required)
Create .github/workflows/security-scan.yml:
Step 4: Test Your Setup
Make a Test Commit- Go to your repository’s “Actions” tab
- Look for the workflow
- Verify it runs successfully
AI-Assisted Setup
Tell your AI assistant:Understanding the Workflow Components
Trigger Configuration
- On every push to the main branch
- Automatically, without manual intervention
CLI-Based Code Analysis
The backend workflow uses the Rafter CLI which handles auto-detection, polling, and retries:- Auto-detects repo and branch from the git checkout
- Polls until complete — no manual loop needed
- Returns structured JSON with consistent schema and documented exit codes
Exit Codes
The CLI uses stable exit codes that CI pipelines can rely on:| Code | Meaning | CI Action |
|---|---|---|
| 0 | Success — analysis completed | Proceed |
| 1 | General error | Fail build |
| 2 | Scan not found (HTTP 404) | Check scan ID |
| 3 | Quota exhausted (HTTP 429 or 403 scan-mode limit) | Alert / back off |
| 4 | Insufficient scope / forbidden (HTTP 403) | Check API key permissions |
Vulnerability Checking
- Parses scan results using jq
- Counts error-level vulnerabilities
- Fails the build if critical issues are found
- Provides clear feedback to developers
Advanced Configuration Options
While we’ve outlined some powerful use cases below, see our documentation for more advanced configuration options: Rafter CI/CD Documentation.Customizing Triggers
You can customize when Rafter runs:Adjusting Failure Thresholds
Modify the vulnerability checking logic:Adding Notifications
Integrate with Slack, Discord, or email:Troubleshooting Common Issues
API Key Not Found
Error:Error: RAFTER_API_KEY environment variable not set
Solution:
- Verify the secret exists in GitHub repository settings
- Check the secret name matches exactly:
RAFTER_API_KEY - Ensure the workflow uses
${{ secrets.RAFTER_API_KEY }}
Scan Request Fails
Error:curl: (22) The requested URL returned error: 401 or curl: (22) The requested URL returned error: 400
Solution:
- 401 Unauthorized: Check your API key is valid and not expired
- 400 Bad Request: Verify repository name format (should be owner/repo)
- Network issues: The
-fsSflags will cause curl to fail silently on HTTP errors - Branch name issues: Ensure
${{ github.ref_name }}returns the correct branch name
Scan Status Issues
Error: Scan stuck in “processing” or “pending” status Solution:- Timeout handling: The workflow automatically fails after 10 minutes
- Status checking: Verify the API returns valid status values (completed, failed, processing, pending)
- Polling frequency: Adjust
sleep 10if scans typically take longer - API rate limits: Check if you’re hitting API rate limits
Scan Results Not Found
Error:scan-results.json: No such file or directory
Solution:
- Check scan completion: Ensure the scan reached “completed” status
- Verify file output: The workflow saves results to
scan-results.jsonandscan-results.md - API response format: Confirm the API returns results in the expected JSON format
- Error handling: The
set -euo pipefailensures the script fails if curl commands fail
Security Best Practices
API Key Management
- Rotate keys regularly: Generate new keys every 90 days
- Monitor usage: Check API key usage logs for anomalies
- Use least privilege: Only grant necessary permissions
- Never log keys: Ensure keys don’t appear in logs or outputs
Workflow Security
- Pin action versions: Use specific commit SHAs instead of tags
- Review permissions: Limit workflow permissions to minimum required
- Audit regularly: Review workflow changes and access patterns
- Use trusted sources: Only use official GitHub Actions
Repository Security
- Enable branch protection: Require status checks before merging
- Use required reviewers: Require security team review for workflow changes
- Monitor secrets: Regularly audit repository secrets
- Enable security alerts: Use GitHub’s security features
Measuring Success
Key Metrics to Track
- Scan Coverage: Percentage of commits scanned
- Detection Rate: Vulnerabilities found per scan
- Fix Time: Average time from detection to resolution
- False Positive Rate: Incorrect vulnerability reports
Success Indicators
- Zero critical vulnerabilities in production deployments
- Consistent scan execution across all branches
- Rapid vulnerability resolution (under 24 hours)
- Developer adoption of security-first practices
Conclusion
Whether you use the local secret scanner or the full code analysis engine, the result is the same: security coverage on every commit with stable exit codes and structured output that CI pipelines can act on. Start withrafter ci init, customize as needed, and let the code analysis engine do the work.
