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This cluster provides a comprehensive perspective on security and compliance topics that are crucial for organizations.
This segment covers protecting personal and sensitive data across the full data lifecycle. It includes principles such as data minimization, purpose limitation, and transparency, requirements for access and retention, and technical measures like encryption, masking, and logging. The focus is on privacy by design and data protection, independent of general security architecture controls or audit and assurance processes.
The Data Protection Impact Assessment (DPIA) is an essential process for evaluating the impacts of data processing activities on individuals' privacy.
Protection of personal and sensitive data through organizational, technical and legal measures.
Core principles and measures for protecting personal data that guide technical and organizational decisions.