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
- Security Vulnerabilities: security@meingpt.com
- Bug Bounty: bounty@meingpt.com
- General Questions: support@meingpt.com
Additional Resources
- 📖 Security Overview - Reporting procedures and Bug Bounty
- 📖 Infrastructure Security - Technical Infrastructure
- 📖 DataVault Privacy - OnPremise Privacy