The BGIN AI MVP project is designed with privacy-by-design principles and implements comprehensive security measures to protect user data and ensure system integrity. This document outlines our security policies, procedures, and guidelines.

If you discover a security vulnerability, please report it responsibly:

1. DO NOT create a public GitHub issue
2. DO NOT disclose the vulnerability publicly
3. DO report it privately using one of these methods:

• Go to Security Advisories
• Click "Report a vulnerability"
• Fill out the security advisory form

• Email: security@bgin-global.org
• Subject: "Security Vulnerability Report - BGIN AI MVP"
• Include detailed information about the vulnerability

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

• Initial Response: Within 48 hours
• Status Update: Within 7 days
• Resolution: Within 30 days (depending on severity)

• JWT Tokens: Secure token-based authentication
• DID-based Identity: Decentralized identifier management
• Role-based Access: Granular permission system
• Session Management: Secure session handling

• Encryption at Rest: Sensitive data encrypted in storage
• Encryption in Transit: HTTPS/TLS for all communications
• Input Validation: Comprehensive input sanitization
• Output Encoding: Protection against injection attacks

• Privacy Levels: Configurable privacy settings (Maximum/High/Selective/Minimal)
• Data Minimization: Collect only necessary data
• User Control: Users control their data and privacy settings
• Audit Logging: Comprehensive activity tracking with privacy preservation

• CORS Protection: Cross-origin resource sharing controls
• Rate Limiting: Protection against abuse and DoS attacks
• Helmet Security: Security headers and protections
• Request Validation: Comprehensive request validation

• Agent Isolation: Each agent operates in isolated environment
• Inter-agent Communication: Secure communication channels
• Trust Networks: Reputation-based trust system
• Privacy-Preserving Analytics: Zero-knowledge proof integration

• Session Isolation: Each conference session has isolated data
• Project Containers: Secure project data separation
• Multi Agent Hub: Secure collaborative environment
• Track-based Access: Role-based access to different tracks

• Local Processing: Ollama local LLM for sensitive data
• Confidential Compute: Phala Cloud TEE for cloud processing
• Data Sovereignty: User-controlled data processing
• Privacy-Preserving AI: Zero-knowledge AI processing

• Code Review: All code changes require security review
• Dependency Scanning: Regular dependency vulnerability scanning
• Static Analysis: Automated security code analysis
• Secure Coding: Follow secure coding practices

• Environment Variables: Never commit secrets to version control
• Regular Updates: Keep dependencies and system updated
• Access Control: Use strong authentication and authorization
• Data Handling: Follow data protection guidelines

• Monitoring: Continuous security monitoring
• Incident Response: Clear incident response procedures
• Backup Security: Secure backup and recovery procedures
• Access Management: Regular access review and cleanup

• Critical: System compromise, data breach
• High: Significant security vulnerability
• Medium: Moderate security issue
• Low: Minor security concern

1. Detection: Identify and assess the incident
2. Containment: Isolate affected systems
3. Investigation: Analyze the incident
4. Recovery: Restore normal operations
5. Post-incident: Review and improve security

• Internal: Notify development team immediately
• Users: Notify affected users if necessary
• Public: Coordinate public communication if required
• Regulatory: Comply with applicable regulations

# Security Configuration
NODE_ENV=production
JWT_SECRET=your-secure-jwt-secret
ENCRYPTION_KEY=your-encryption-key
SESSION_SECRET=your-session-secret

# Privacy Settings
PRIVACY_LEVEL=maximum
DATA_RETENTION_DAYS=30
AUDIT_LOGGING=enabled

# Network Security
CORS_ORIGIN=https://yourdomain.com
RATE_LIMIT_WINDOW=15
RATE_LIMIT_MAX=100

• Connection Encryption: Use SSL/TLS for database connections
• Access Control: Implement proper database access controls
• Backup Encryption: Encrypt database backups
• Audit Logging: Log all database access

• Authentication: Require authentication for all API endpoints
• Rate Limiting: Implement rate limiting on all endpoints
• Input Validation: Validate all input parameters
• Output Sanitization: Sanitize all output data

• All dependencies updated and scanned
• Security headers configured
• Authentication and authorization tested
• Input validation implemented
• Error handling secure
• Logging configured (no sensitive data)
• HTTPS enabled
• CORS properly configured
• Rate limiting enabled
• Database security configured

• Dependency vulnerability scanning
• Security code review
• Penetration testing
• Access review
• Backup verification
• Incident response testing
• Security training updates
• Policy review

• OWASP Top 10
• NIST Cybersecurity Framework
• CIS Controls
• GDPR Compliance

• BGIN Security Guidelines
• Privacy by Design Principles
• Trust over IP Security

• Email: security@bgin-global.org
• GitHub: Security Advisories

• Phone: +1-XXX-XXX-XXXX (for critical security incidents)
• Response Time: Within 4 hours for critical issues

• GDPR: European General Data Protection Regulation compliance
• CCPA: California Consumer Privacy Act compliance
• PIPEDA: Personal Information Protection and Electronic Documents Act compliance

• Right to Access: Users can request their data
• Right to Rectification: Users can correct their data
• Right to Erasure: Users can delete their data
• Right to Portability: Users can export their data

• Regular Audits: Annual security audits
• Compliance Monitoring: Continuous compliance monitoring
• Documentation: Comprehensive security documentation
• Training: Regular security training for team members

Last Updated: October 7, 2025

Version: 1.0.0

Next Review: April 7, 2026

This security policy is part of our commitment to maintaining the highest standards of security and privacy in the BGIN AI MVP project. We continuously work to improve our security posture and welcome feedback from the community.