AI-Generated Code → Security Scan → Jira Ticket
Scan AI-generated code from tools like Copilot for security issues and automatically create tracking tickets for remediation.
Workflow Steps
GitHub
Detect AI-generated code
Set up a GitHub Action that identifies code commits containing AI-generated content by analyzing commit messages, file patterns, or using GitHub's Copilot usage data API to flag AI-assisted code changes.
CodeQL
Run security analysis
Execute GitHub's CodeQL security scanning specifically on the AI-generated code sections. Focus on common AI coding pitfalls like insecure API calls, missing input validation, and hardcoded credentials.
GitHub API
Process security findings
Use GitHub's REST API to extract security alerts, categorize them by severity, and prepare structured data including file locations, vulnerability types, and recommended fixes.
Jira
Create security tickets
Automatically create Jira tickets for each security finding with detailed descriptions, links to the problematic code, severity labels, and assignment to the appropriate developer or security team member.
Workflow Flow
Step 1
GitHub
Detect AI-generated code
Step 2
CodeQL
Run security analysis
Step 3
GitHub API
Process security findings
Step 4
Jira
Create security tickets
Why This Works
Specifically targets the unique security risks of AI-generated code while maintaining development velocity through automated tracking and assignment.
Best For
Teams heavily using AI code generation tools who need to maintain security standards
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