We release patches for security vulnerabilities for the following versions:

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

• Open a public GitHub issue for security vulnerabilities
• Disclose the vulnerability publicly before it has been addressed

1. Email us at [email protected] with:

   • Description of the vulnerability
   • Steps to reproduce
   • Potential impact
   • Suggested fix (if any)

2. Allow us time to respond and fix the issue before public disclosure

3. Encrypt sensitive information using our PGP key (available on request)

• Acknowledgment: Within 48 hours of your report
• Initial Assessment: Within 7 days
• Regular Updates: Every 7 days until resolved
• Fix Timeline: Critical issues within 30 days

We support responsible disclosure of security vulnerabilities. We will not pursue legal action against researchers who:

• Make a good faith effort to avoid privacy violations and data destruction
• Only interact with test accounts they own or with explicit permission
• Do not exploit the vulnerability beyond demonstrating it
• Report the vulnerability promptly
• Keep the vulnerability confidential until it is fixed

1. Keep Software Updated

   • Always use the latest version
   • Monitor security advisories
   • Update dependencies regularly

2. Secure Configuration

   • Use strong, unique credentials
   • Enable rate limiting
   • Configure proper access controls
   • Use environment variables for secrets

3. Network Security

   • Use HTTPS for all communications
   • Implement proper firewall rules
   • Isolate in secure network segments

4. Monitoring

   • Enable audit logging
   • Monitor for suspicious activity
   • Review logs regularly

1. Code Security

   • Follow secure coding practices
   • Use type hints and validation
   • Sanitize all inputs
   • Avoid hardcoded secrets

2. Dependencies

   • Regularly update dependencies
   • Use safety to check for vulnerabilities
   • Pin dependency versions

3. Testing

   • Include security tests
   • Test authentication and authorization
   • Test input validation
   • Use static analysis tools

4. Code Review

   • Require reviews for all changes
   • Security-focused reviews for sensitive code
   • Automated security scanning in CI/CD

All user inputs are validated to prevent:

• Command injection
• Path traversal
• SQL injection (if applicable)
• XSS attacks

Rate limiting is enforced to prevent:

• Denial of service attacks
• Brute force attempts
• Resource exhaustion

• API keys should be stored securely
• Credentials should never be logged
• Use principle of least privilege

• Never commit secrets to version control
• Use environment variables or secret managers
• Rotate credentials regularly

• Input validation and sanitization
• Rate limiting
• Audit logging
• Secure defaults
• Least privilege execution

When deploying:

• Enable HTTPS
• Set security headers
• Implement CORS properly
• Use secure cookies

We use automated tools to monitor dependencies:

• Dependabot: Automated dependency updates
• Safety: Python package vulnerability scanning
• Bandit: Security linting for Python

Security-relevant events are logged:

• Authentication attempts
• Authorization failures
• Configuration changes
• Suspicious activities
• Resource access

This project follows:

• OWASP Top 10 guidelines
• CWE Top 25 mitigation
• Secure development lifecycle
• Regular security assessments

• Security Email: [email protected]
• General Issues: GitHub Issues
• PGP Key: Available on request

We thank the following security researchers for responsible disclosure:

• (Your name could be here!)

This security policy is reviewed and updated quarterly. Last update: 2024-01-01

• OWASP Top 10
• CWE Top 25
• Python Security Best Practices