We take the security of Data Analysis AI Project seriously. If you believe you have found a security vulnerability, please report it to us as described below.

Please do not report security vulnerabilities through public GitHub issues.

Instead, please report them via GitHub's private vulnerability reporting feature:

1. Go to the repository's Security tab
2. Click on Report a vulnerability
3. Fill out the form with as much detail as possible

Please include the following information in your report:

• Type of issue (e.g., buffer overflow, SQL injection, cross-site scripting, etc.)
• Full paths of source file(s) related to the issue
• Location of the affected source code (tag/branch/commit or direct URL)
• Step-by-step instructions to reproduce the issue
• Proof-of-concept or exploit code (if possible)
• Impact of the issue, including how an attacker might exploit it

• Initial Response: Within 48 hours
• Status Update: Within 7 days
• Resolution Target: Within 30 days for critical issues

1. Acknowledgment: We will acknowledge receipt of your vulnerability report
2. Communication: We will keep you informed of our progress
3. Credit: We will credit you in the security advisory (unless you prefer to remain anonymous)
4. Resolution: We will notify you when the vulnerability is fixed

• Never commit sensitive data (API keys, credentials) to version control
• Use environment variables for sensitive configuration
• Sanitize user inputs before processing
• Validate data before loading into the system

• Keep all dependencies up to date
• Use virtual environments for isolation
• Run with minimum required privileges
• Enable security headers when deploying the dashboard

# Regularly check for known vulnerabilities
pip install safety
safety check -r requirements.txt

# Keep dependencies updated
pip install --upgrade -r requirements.txt

This project includes several security considerations:

1. Input Validation: Data inputs are validated before processing
2. Dependency Scanning: CI/CD includes security checks
3. No Credential Storage: The system does not store credentials
4. Sandboxed Execution: ML models run in isolated environments

We would like to thank the following individuals for responsibly disclosing vulnerabilities:

• No vulnerabilities reported yet

Thank you for helping keep Data Analysis AI Project and its users safe!