Security

Security

This document outlines security considerations, best practices, and guidelines for using the DataDog Dashboard Deployer safely and securely.

Security Policy

Please refer to our Security Policy for information about:

• Supported Versions
• Reporting Security Vulnerabilities
• Security Update Process
• Responsible Disclosure

Credential Management

API Keys

1. Environment Variables

   • Never hardcode API keys in source code
   • Use environment variables for local development

   export DATADOG_API_KEY='your-api-key'
   export DATADOG_APP_KEY='your-application-key'

2. GitHub Secrets

   • Store API keys as GitHub Secrets
   • Never log or expose secrets in GitHub Actions
   • Rotate keys periodically

   env:
     DATADOG_API_KEY: ${{ secrets.DATADOG_API_KEY }}
     DATADOG_APP_KEY: ${{ secrets.DATADOG_APP_KEY }}

3. Key Permissions

   • Use minimal required permissions
   • Create separate keys for different environments
   • Regularly audit key usage

Best Practices

1. Configuration Security

• Validate all input configurations
• Sanitize user inputs
• Use schema validation
• Implement strict type checking

2. Dependency Management

• Regular dependency updates
• Automated security scanning
• Version pinning
• Supply chain security

# Example dependabot.yml
version: 2
updates:
  - package-ecosystem: "pip"
    directory: "/"
    schedule:
      interval: "weekly"
    allow:
      - dependency-type: "all"

3. Code Security

• Static code analysis
• Regular security audits
• Code review requirements
• Secure coding guidelines

4. Runtime Security

• Input validation
• Error handling
• Rate limiting
• Logging security events

Security Features

1. Authentication

• API key validation
• Token-based authentication
• Session management
• Access control

2. Authorization

• Role-based access control
• Permission validation
• Resource isolation
• Audit logging

3. Data Protection

• Data encryption
• Secure storage
• Data validation
• Privacy compliance

Security Monitoring

1. Logging

• Security event logging
• Access logging
• Error logging
• Audit trails

2. Monitoring

• Failed authentication attempts
• API usage patterns
• Resource utilization
• Error rates

3. Alerting

• Security incident alerts
• Usage anomalies
• System health
• Performance issues

Incident Response

1. Detection

• Automated monitoring
• Manual reviews
• User reports
• Security scans

2. Response

• Incident classification
• Response procedures
• Communication plan
• Recovery steps

3. Prevention

• Root cause analysis
• Security improvements
• Process updates
• Training

Compliance

1. Standards

• OWASP guidelines
• Industry best practices
• Security frameworks
• Compliance requirements

2. Auditing

• Regular security audits
• Compliance checks
• Code reviews
• Vulnerability assessments

3. Documentation

• Security procedures
• Incident response
• Compliance requirements
• Best practices

Development Guidelines

1. Code Review

• Security-focused reviews
• Dependency analysis
• Static code analysis
• Dynamic testing

2. Testing

• Security testing
• Penetration testing
• Vulnerability scanning
• Compliance testing

3. Deployment

• Secure CI/CD
• Environment isolation
• Configuration validation
• Release procedures

Additional Resources

• OWASP Python Security
• DataDog Security Documentation
• GitHub Security Best Practices
• Python Security Guide