LogiFlow AI takes security seriously. This document outlines our security practices, vulnerability reporting procedures, and supported versions for our TiDB Serverless-powered logistics management platform.

We actively maintain and provide security updates for the following versions:

If you discover a security vulnerability, please report it immediately through one of these channels:

• Email: security@logiflow.ai
• Subject: [SECURITY] Vulnerability Report - [Brief Description]
• Response Time: Within 24 hours

For sensitive vulnerabilities, use our PGP key:

-----BEGIN PGP PUBLIC KEY BLOCK-----
[PGP Key would be here in production]
-----END PGP PUBLIC KEY BLOCK-----

Please provide the following information:

1. Vulnerability Type

   • Authentication bypass
   • Data exposure
   • Injection attacks
   • TiDB access issues
   • AI model manipulation

2. Affected Components

   • Frontend (React/TypeScript)
   • TiDB Serverless integration
   • AI agent workflows
   • Authentication system
   • API endpoints

3. Reproduction Steps

   • Detailed step-by-step instructions
   • Screenshots or videos if applicable
   • Sample payloads or code

4. Impact Assessment

   • Data at risk
   • System availability
   • User privacy concerns
   • Business operations impact

5. Suggested Mitigation

   • Temporary workarounds
   • Proposed fixes
   • Prevention strategies

• Encryption: All data encrypted at rest and in transit
• Access Control: Role-based access with principle of least privilege
• Network Security: VPC isolation and firewall rules
• Audit Logging: Comprehensive query and access logging

• Embedding Protection: Vector embeddings are sanitized and validated
• Query Isolation: Vector searches are isolated per tenant
• Rate Limiting: API rate limits prevent abuse
• Input Validation: All vector inputs are validated and sanitized

• Input Sanitization: All AI inputs are validated and sanitized
• Output Filtering: AI responses are filtered for sensitive information
• Model Isolation: Each tenant has isolated AI model access
• Prompt Injection Protection: Advanced prompt injection detection

• Step Validation: Each workflow step is validated before execution
• Permission Checks: User permissions verified at each step
• Audit Trail: Complete audit trail for all AI decisions
• Rollback Capability: Ability to rollback automated actions

• Multi-Factor Authentication: Required for admin accounts
• JWT Tokens: Secure token-based authentication
• Session Management: Secure session handling with timeout
• Role-Based Access: Granular permission system

• Encryption: AES-256 encryption for sensitive data
• Data Masking: PII data is masked in logs and exports
• Backup Security: Encrypted backups with access controls
• Data Retention: Automated data retention policies

• Rate Limiting: Prevents API abuse and DDoS attacks
• Input Validation: All API inputs validated and sanitized
• CORS Protection: Proper CORS configuration
• Security Headers: Comprehensive security headers implemented

// ✅ Good: Parameterized queries
const result = await conn.execute(
  'SELECT * FROM vehicles WHERE id = ?',
  [vehicleId]
);

// ❌ Bad: String concatenation
const result = await conn.execute(
  `SELECT * FROM vehicles WHERE id = '${vehicleId}'`
);

# ✅ Good: Use environment variables for secrets
VITE_TIDB_PASSWORD=your-secure-password

# ❌ Bad: Hardcoded secrets in code
const password = "hardcoded-password";

// ✅ Good: Validate and sanitize AI inputs
function validateAIInput(input: string): string {
  return input
    .replace(/[<>]/g, '') // Remove potential HTML
    .substring(0, 1000)   // Limit length
    .trim();              // Remove whitespace
}

// ❌ Bad: Direct AI input without validation
const result = await openai.chat.completions.create({
  messages: [{ role: 'user', content: userInput }]
});

• Enable audit logging for all database operations
• Configure proper firewall rules and network isolation
• Regularly rotate database credentials
• Monitor for unusual query patterns

• Regularly update AI models to latest versions
• Monitor AI decision accuracy and bias
• Implement human oversight for critical decisions
• Maintain audit trails for all AI actions

• Set up alerts for security events
• Monitor system performance and anomalies
• Regular security scans and penetration testing
• Incident response procedures

• Failed authentication attempts
• Unusual database access patterns
• AI model anomalies
• System performance issues

• Authentication success/failure rates
• API request patterns and anomalies
• Database query performance and errors
• AI decision accuracy and bias metrics

• Monthly: Security configuration review
• Quarterly: Penetration testing
• Annually: Comprehensive security audit
• As Needed: Incident response and forensics

1. Detection & Analysis

   • Identify and classify the incident
   • Assess impact and severity
   • Activate incident response team

2. Containment

   • Isolate affected systems
   • Prevent further damage
   • Preserve evidence

3. Eradication & Recovery

   • Remove threat from environment
   • Restore systems from clean backups
   • Implement additional safeguards

4. Post-Incident

   • Document lessons learned
   • Update security procedures
   • Communicate with stakeholders

1. Vulnerability Assessment

   • Evaluate severity and impact
   • Determine affected versions
   • Develop fix and testing plan

2. Development & Testing

   • Implement security fix
   • Comprehensive testing
   • Security review and approval

3. Deployment

   • Staged rollout to production
   • Monitor for issues
   • Verify fix effectiveness

4. Communication

   • Notify affected users
   • Publish security advisory
   • Update documentation

Security advisories are published at:

• Website: https://security.logiflow.ai
• Email: security-advisories@logiflow.ai
• GitHub: Security tab in repository

• Email: security@logiflow.ai
• Emergency: +1-555-SECURITY (24/7)
• Response Time: Within 24 hours

• Email: contact@logiflow.ai
• Phone: +1-555-LOGIFLOW
• Website: https://logiflow.ai

• TiDB Security Best Practices
• OpenAI Security Guidelines
• OWASP Top 10
• NIST Cybersecurity Framework

• SOC 2 Type II: Compliance certification
• GDPR: Data protection compliance
• HIPAA: Healthcare data protection (where applicable)
• ISO 27001: Information security management

We appreciate security researchers who help improve our platform:

• [Security Researcher Name] - Critical vulnerability in AI workflow
• [Security Researcher Name] - TiDB access control bypass
• [Security Researcher Name] - Authentication vulnerability

We follow responsible disclosure practices and work with security researchers to:

• Acknowledge contributions publicly (with permission)
• Provide recognition in our security hall of fame
• Offer bug bounty rewards for qualifying vulnerabilities

Last Updated: December 2024
Version: 2.1.0
Next Review: March 2025

For questions about this security policy, contact: security@logiflow.ai