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Software Security

Security measures in meinGPT software development

Detailed Development Processes: Specific implementation details, internal checklists, and operational procedures are available after signing an NDA.

Secure Development Lifecycle (SDLC)

Modern Development Architecture

We rely on a modern, type-safe development architecture:

  • TypeScript Strict Mode: Type safety reduces security vulnerabilities
  • Python with typing: Static code analysis and type safety
  • OWASP Top 10: Established security guidelines as a framework
  • Privacy by Design: Privacy as a fundamental principle from the start

Development Phase

  • Mandatory Code Reviews: Peer review for all code changes via pull requests
  • AI-based Code Analysis: Automated Static Application Security Testing (SAST)
  • Dependency Scanning: Automatic verification of libraries and frameworks
  • Renovate Bot: Automatic dependency updates for security patches

Testing Phase

  • Bug Bounty Program: Continuous external security testing
  • External Penetration Testing: First test with SySS planned for August 2025
  • Security Regression Testing: Tests for every code change
  • Input Validation Testing: Framework-based validation tests

Deployment Phase

  • Container Security Scanning: Verification of container images
  • Kubernetes Deployment: Secure containerization
  • Configuration Management: Secure default configurations
  • Secrets Management: Secure management of API keys and passwords

Vulnerability Management

Automated Scans

We implement comprehensive automated security scans:

  • SAST Integration: Code analysis in the CI/CD pipeline (Gitleaks, Semgrep, Checkov)
  • Dependency Checks: Continuous checking for known CVEs
  • Container Scanning: Docker Hub image scans for vulnerability detection
  • Automated Updates: Renovate Bot for automatic dependency updates

Patch Management

  • Hot-Fix Pipeline: Quick updates for critical security issues
  • Automatic System Updates: Mandatory automatic system updates
  • Security-First Approach: Security updates have highest priority
  • Rollback Procedures: Safe rollback of faulty updates

Code Security

Input Validation

We implement comprehensive input validation measures:

  • Framework-based Validation: Input validation through React/Node.js/Python framework features
  • SQL Injection Prevention: Prepared statements and ORM
  • XSS Protection: Output encoding and Content Security Policy
  • Generic Error Messages: No stack traces in production
  • OWASP Top 10 Compliance: Protection against most common web attacks

Authentication & Authorization

  • JWT-based Authentication: Secure token implementation
  • Role-Based Access Control (RBAC): Role-based permissions
  • API Keys with User Scope: Coupling of API keys to user permissions
  • Least Privilege Principle: Minimal required permissions
  • UUIDs and CUIDs: Protection against IDOR attacks through non-sequential IDs

Data Protection

  • Data Classification: Categorization of sensitive data (public/internal/confidential)
  • Encryption Standards: TLS 1.3 for modern encryption
  • Principle of Least Privilege: Minimal data access
  • Retention Policies: Documented retention guidelines
  • GDPR-compliant Deletion Processes: Implemented data deletion

Third-Party Security

Dependency Management

We implement comprehensive third-party security measures:

  • Approved Software Policy: Only licensed/approved software
  • Vulnerability Scanning: Daily dependency scans
  • License Compliance: Verification of license compatibility
  • Update Monitoring: Renovate Bot for automatic updates
  • Data Processing Agreements (DPA): With all subcontractors

AI Provider Compliance

Particularly strict requirements for AI providers:

  • Primarily EU-based Providers: Microsoft Azure EU, Mistral AI, Google EU
  • Explicit Guarantees: No use of customer data for AI training
  • US Providers: Only with explicit opt-in decision with Data Privacy Framework
  • Transparent Warnings: User information when processing US data

API Security

Design Principles

We implement secure API design principles:

  • Secure by Default: Secure default configurations
  • Principle of Least Privilege: Minimal API permissions
  • Defense in Depth: Multi-layered security
  • Fail Securely: Secure error handling

Implementation

  • Rate Limiting: Protection against API abuse
  • Input Validation: Strict validation of all API parameters
  • Output Encoding: Secure data return
  • Error Handling: Generic error messages without stack traces
  • Comprehensive Logging: Complete logging of API calls

Security Testing

Automated Tests

We implement comprehensive automated security tests:

  • SAST Integration: Gitleaks, Semgrep, Checkov in the CI/CD pipeline
  • Dependency Scanning: Daily scans for known vulnerabilities
  • Container Security: Docker Hub image scans
  • API Security Tests: Automated tests for API endpoints

Manual Tests

  • Code Reviews: Mandatory reviews for all code changes
  • Bug Bounty Program: Continuous external security testing
  • External Penetration Testing: First test with SySS planned for August 2025
  • Annual Legacy Code Audits: Systematic review of existing code base

Security Training

Developer Security Training

We continuously invest in security training:

  • OWASP Documentation: As reference for all developers
  • Quarterly Security Updates: Regular team training
  • AI Tools for Security Awareness: Modern training approaches
  • Annual Privacy Training: Compliance training for all employees

Security Awareness

  • Security-First Culture: Security as integral part of development
  • Internal IT Security Guidelines: Comprehensive guidelines for all employees
  • Security Incident Reporting: Established reporting processes
  • External Security Expertise: Regular consultation with external experts

Contact and Support

Security Team

Additional Resources