At AutoMind, we take security seriously. This document outlines our security practices and how to report vulnerabilities.

If you discover a security vulnerability in AutoMind, please report it responsibly.

Primary Method: Email us at security@automind.dev

Alternative: Create a private vulnerability report on GitHub:

1. Go to Security Advisories
2. Click "Report a vulnerability"
3. Fill out the form with details

• Vulnerability type (e.g., XSS, SQL injection, authentication bypass)
• Affected versions of AutoMind
• Steps to reproduce the vulnerability
• Potential impact if exploited
• Proof of concept (if available)
• Suggested fix (if you have one)

• Initial response: Within 48 hours
• Detailed assessment: Within 7 days
• Public disclosure: After fix is released (typically within 90 days)

Our security team reviews all reports and coordinates disclosure.

• Input validation: All user inputs are validated and sanitized
• Authentication: JWT-based authentication with secure token handling
• Authorization: Role-based access control (RBAC)
• Encryption: Data encryption at rest and in transit
• Audit logging: Comprehensive audit trails
• Rate limiting: Protection against brute force attacks
• CORS: Proper Cross-Origin Resource Sharing configuration
• Security headers: OWASP recommended security headers

• Regular updates: Dependencies updated regularly
• Vulnerability scanning: Automated security scans on every PR
• Dependency audit: npm audit runs in CI/CD pipeline
• License compliance: All dependencies have compatible licenses

1. Keep updated: Always use the latest version
2. Strong passwords: Use complex passwords for authentication
3. Environment variables: Never commit secrets to version control
4. Network security: Use HTTPS and secure network configurations
5. Regular backups: Maintain regular data backups

1. Code review: All code must be reviewed before merging
2. Security testing: Run security tests before deployment
3. Secrets management: Use proper secret management tools
4. Least privilege: Apply principle of least privilege
5. Security training: Regular security awareness training

• Static Analysis: CodeQL, Semgrep, and ESLint security rules
• Dynamic Analysis: OWASP ZAP and SQLMap scans
• Dependency scanning: npm audit and Snyk scans
• Container scanning: Docker image vulnerability scanning

• Penetration testing: Quarterly penetration testing
• Code review: Security-focused code reviews
• Architecture review: Regular security architecture assessments

• All dependencies updated to latest secure versions
• Security tests passing
• Secrets properly configured
• Authentication and authorization tested
• Input validation implemented
• Error handling doesn't leak information
• Logging doesn't contain sensitive data
• HTTPS properly configured
• Security headers implemented

• Monitor security advisories
• Review access logs regularly
• Update dependencies monthly
• Conduct quarterly security reviews
• Test backup and recovery procedures

• Critical: Production system compromised, data breach
• High: Security vulnerability with active exploitation
• Medium: Security vulnerability without known exploitation
• Low: Minor security issue or best practice violation

1. Detection: Monitor systems for security events
2. Assessment: Evaluate impact and scope
3. Containment: Isolate affected systems
4. Eradication: Remove threat and vulnerabilities
5. Recovery: Restore normal operations
6. Lessons learned: Document and improve processes

• Internal: Immediate notification to security team
• External: Public disclosure within 72 hours for major incidents
• Customers: Direct notification for affected users

• OWASP Top 10
• CWE Mitigations
• NIST Cybersecurity Framework
• Security Headers

• Security Team: security@automind.dev
• General Inquiries: contact@automind.dev
• Discord: Security Channel

We recognize and thank security researchers who help us improve AutoMind's security:

Researchers will be listed here after responsible disclosure

Thank you for helping keep AutoMind secure! 🛡️