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Security: niksacdev/multi-agent-system

Security

SECURITY.md

Security Policy

πŸ”’ Security Best Practices

This repository demonstrates secure coding practices for AI-powered loan processing systems.

API Key Security

NEVER commit API keys or secrets to version control!

  1. Copy .env.example to .env
  2. Add your API keys to .env
  3. Ensure .env is in .gitignore (already configured)
  4. Use environment variables for all sensitive configuration

Data Privacy

This system implements privacy-by-design principles:

  • No Real SSNs: The system uses UUID-based applicant_id instead of SSNs
  • No PII in Logs: Sensitive data is never logged
  • Secure Parameters: All MCP server calls use secure identifiers
  • Data Minimization: Only necessary data is collected and processed

Secure Development

  • All dependencies are managed through uv with lock files
  • Regular security audits with uv pip audit
  • Comprehensive test coverage (>83%)
  • Type checking with mypy
  • Linting with ruff

πŸ› Reporting Security Vulnerabilities

We take security seriously. If you discover a security vulnerability, please follow responsible disclosure:

  1. DO NOT create a public GitHub issue
  2. Email security concerns to: [[email protected]]
  3. Include:
    • Description of the vulnerability
    • Steps to reproduce
    • Potential impact
    • Suggested fix (if any)

We will acknowledge receipt within 48 hours and provide a detailed response within 5 business days.

πŸ›‘οΈ Security Features

Authentication & Authorization

  • API key-based authentication for AI services
  • Secure MCP server communication
  • Role-based agent permissions

Data Protection

  • Applicant IDs (UUIDs) instead of SSNs
  • Encrypted sensitive data in transit
  • Audit logging for compliance

Input Validation

  • Pydantic models for data validation
  • Regex patterns for format verification
  • Boundary checking for numerical inputs

πŸ“‹ Security Checklist for Contributors

Before submitting a PR:

  • No hardcoded credentials
  • No real PII in test data
  • All inputs validated
  • Error messages don't leak sensitive info
  • Dependencies updated and audited
  • Tests pass with >80% coverage

πŸ”„ Dependency Management

Regular dependency updates:

# Update dependencies
uv sync

# Audit for vulnerabilities
uv pip audit

# Update to latest secure versions
uv update

πŸ“œ Compliance

This system is designed with compliance in mind:

  • FCRA: Fair Credit Reporting Act compliance
  • ECOA: Equal Credit Opportunity Act adherence
  • GDPR: Privacy-by-design principles
  • SOC2: Audit trail and access controls

🚨 Known Security Considerations

  1. MCP Servers: Currently run on localhost without authentication. In production:

    • Add authentication to MCP servers
    • Use TLS for MCP communications
    • Implement rate limiting
  2. API Keys: Currently single API key for all agents. In production:

    • Use separate keys per agent
    • Implement key rotation
    • Add usage monitoring
  3. Audit Logging: Basic logging implemented. In production:

    • Send logs to SIEM
    • Implement tamper-proof audit trail
    • Add compliance reporting

πŸ€– AI Assistant

This repository uses Claude AI for automated assistance, but it is restricted to repository maintainers only to ensure responsible API usage and cost management.

If you need help with an issue:

  1. Create a detailed issue describing your problem
  2. A maintainer will review and assist you
  3. Do not mention @claude in your issues or comments as it will not trigger the assistant

πŸ“ž Contact

Security Team: [[email protected]] Project Maintainer: @niksacdev


Last Updated: August 2025 Security Policy Version: 1.1

There aren’t any published security advisories