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🛡️ Compliance & GDPR ​

This section outlines the compliance principles and data protection practices that govern our integration activities. It ensures that all data flows and components are secure, auditable, and aligned with internal policies and external regulations, including the General Data Protection Regulation (GDPR).

🎯 Objectives ​

  • ✅ Ensure data privacy and protection
  • 🔐 Enforce secure access and identity management
  • 📜 Maintain traceability and auditability of data flows
  • 🧭 Align with corporate IT governance and legal obligations
  • 🇪🇺 Comply with GDPR and other applicable data regulations

🔐 Security & Access Control ​

  • Use of Managed Identities is mandatory for authentication between Azure services.
  • Secrets and credentials must be stored in Azure Key Vault, never hardcoded.
  • Least privilege principle must be applied to all roles and services.
  • Environment isolation must be respected to avoid data leakage between DEV, INT, REC, and PRD.

📁 Data Protection & GDPR ​

We handle personal and sensitive data in accordance with GDPR principles:

🔎 Data Minimization ​

Only collect and process the data strictly necessary for the intended purpose.

🧱 Data Segregation ​

Personal data must be clearly identified and isolated from non-sensitive data.

🔒 Encryption ​

  • All data in transit and at rest must be encrypted using approved standards.
  • Sensitive fields (e.g., names, emails, identifiers) must be masked or anonymized when not required in clear text.

🧾 Auditability ​

  • All data flows must be traceable.
  • Logs must be retained and accessible for audit purposes.

🧼 Data Retention & Deletion ​

  • Retention periods must be defined and respected.
  • Data must be deleted or anonymized when no longer needed.

🧪 Testing & Validation ​

  • Test data must not contain real personal data.
  • Use synthetic or anonymized datasets in DEV, INT, and REC environments.
  • Validate that no personal data is exposed in logs or error messages.

📋 Documentation & Ownership ​

  • Each integration must document:

    • Data categories processed
    • Source and destination systems
    • Legal basis for processing (if personal data is involved)
    • Data controller and processor roles

  • A Data Protection Impact Assessment (DPIA) may be required for high-risk flows.

📌 Best Practices ​

  • Use data classification labels where supported (e.g., in Azure Purview).
  • Regularly review access rights and secrets.
  • Report any data breach or suspicious behavior immediately to the DPO or security team.

🧠 Compliance is everyone's responsibility. These practices help protect our users, our systems, and our reputation.