Scan AI Agent Code → Check Security Policies → Block Risky Deployments
Automatically review AI agent code for security vulnerabilities, validate against company policies, and prevent deployment of agents that don't meet security standards.
Workflow Steps
GitHub Actions
Trigger security scan on code commits
Set up GitHub Actions workflow that automatically runs when AI agent code is committed to repository. Configure the workflow to trigger on pull requests to main branches and include both static analysis and dependency scanning.
Snyk
Scan for vulnerabilities and policy violations
Integrate Snyk security scanning into the GitHub Actions workflow to check for known vulnerabilities in dependencies, insecure coding patterns, and compliance with security policies. Configure custom rules for AI-specific security requirements like prompt injection prevention.
GitHub
Block deployment if security issues found
Configure branch protection rules that prevent merging pull requests when Snyk identifies high-severity vulnerabilities or policy violations. Set up automated comments on pull requests with specific remediation steps and require security team approval for exceptions.
Workflow Flow
Step 1
GitHub Actions
Trigger security scan on code commits
Step 2
Snyk
Scan for vulnerabilities and policy violations
Step 3
GitHub
Block deployment if security issues found
Why This Works
Catches security issues early in the development cycle when they're cheaper to fix, and prevents insecure AI agents from reaching production environments.
Best For
Development teams building and deploying AI agents who need to ensure code security before production
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