Code Repository → Compliance Audit → Jira Tickets
Scan your codebase for potential age assurance and data privacy issues, then automatically create prioritized Jira tickets for any compliance gaps discovered.
Workflow Steps
GitHub Actions
Schedule weekly repository scans
Set up a GitHub Action that runs weekly to scan your codebase for specific patterns related to data collection, user registration, age verification, and cookie usage.
OpenAI GPT-4
Analyze code for compliance patterns
Send code snippets to GPT-4 with prompts designed to identify potential compliance issues like missing age verification, inadequate consent mechanisms, or data collection from minors.
GitHub
Generate compliance report
Compile the AI analysis results into a structured report showing files with potential issues, risk levels, and specific code locations that need attention.
Jira
Create prioritized tickets
Automatically create Jira tickets for each identified compliance issue, with priority levels based on risk assessment, detailed descriptions, and links to the specific code locations.
Slack
Summary notification to dev team
Post a weekly summary to your development team's Slack channel showing the number of new compliance issues found, highest priority items, and links to the created Jira tickets.
Workflow Flow
Step 1
GitHub Actions
Schedule weekly repository scans
Step 2
OpenAI GPT-4
Analyze code for compliance patterns
Step 3
GitHub
Generate compliance report
Step 4
Jira
Create prioritized tickets
Step 5
Slack
Summary notification to dev team
Why This Works
Automated code analysis catches compliance issues before they reach production, while Jira integration ensures they get properly prioritized and tracked in your development workflow
Best For
Development teams building consumer applications need to proactively identify and address youth safety compliance issues in their code
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