OrionAI is currently in active development. Security updates are provided for:

Please do not report security vulnerabilities through public GitHub issues.

If you discover a security vulnerability in OrionAI, please report it privately:

1. Email: calionestevar@protonmail.com
2. Subject: [SECURITY] OrionAI Vulnerability Report
3. Include:
   • Description of the vulnerability
   • Steps to reproduce
   • Potential impact
   • Suggested fix (if available)

• Acknowledgment: Within 48 hours
• Initial Assessment: Within 1 week
• Fix Timeline: Critical issues within 2 weeks, others within 30 days
• Disclosure: Coordinated disclosure after fix is released

When using OrionAI in production:

• Never commit secrets to version control
• Use environment variables for API tokens (Slack, GitHub, Jira)
• Rotate API tokens regularly
• Restrict file permissions on CaseyProtocol.json

• Validate SSL certificates for webhook endpoints
• Use HTTPS for all external integrations
• Implement rate limiting on validation endpoints
• Sanitize all inputs before logging

• Change default Flask SECRET_KEY in production
• Enable authentication for public deployments
• Use HTTPS/TLS for production deployments
• Implement CORS restrictions
• Regular dependency updates: pip install --upgrade -r requirements.txt

• Don't run containers as root
• Use specific image tags, not latest
• Scan images regularly: docker scan orionai:latest
• Limit container resources in docker-compose.yml

• OrionAI sanitizes PII but does not encrypt it
• Implement encryption at rest for quarantine files
• Configure log rotation to prevent PII accumulation
• Comply with GDPR/HIPAA requirements for your jurisdiction

• OrionAI uses regex patterns for validation
• Complex patterns on large inputs may cause delays
• Implement timeout limits for validation calls
• Monitor CPU usage on high-traffic deployments

• OrionAI validates AI output, not user input
• Combine with input sanitization libraries
• Don't rely solely on OrionAI for XSS/SQL injection prevention

• Hugging Face models downloaded from public sources
• Verify model checksums before production use
• Keep transformers library updated
• Monitor model performance for drift/poisoning

OrionAI relies on:

• Python 3.7+ standard library
• Optional: transformers, torch (Ring Intel)
• Optional: flask, flask-socketio (Dashboard)

Run security audits:

pip install safety
safety check --file Python/requirements.txt

OrionAI is designed to help with:

• GDPR - PII detection and removal
• HIPAA - Healthcare data protection patterns
• SOX - Financial compliance validation
• COPPA - Education sector safety

Note: OrionAI is a validation tool, not a complete compliance solution. Consult legal counsel for regulatory requirements.

Security updates are published via:

• GitHub Security Advisories
• Release notes with [SECURITY] prefix
• Email to registered users (if applicable)

Subscribe to releases: https://github.com/calionestevar/OrionAI/releases

Last Updated: December 11, 2025