Data Protection Measures for GDPR Compliance

B.

The General Data Protection Regulation (GDPR) is a legal framework that applies to all European Union (EU) member states, regulating the processing and protection of personal data. The GDPR requires that organizations implement appropriate technical and organizational measures to ensure the confidentiality, integrity, and availability of personal data.

Confidentiality refers to the protection of personal data against unauthorized access or disclosure. To ensure confidentiality, organizations should implement measures such as access controls, encryption, and network segmentation. Access controls should restrict access to personal data only to authorized personnel who need to access it to perform their duties. Encryption should be used to protect personal data both in transit and at rest, and network segmentation can help to isolate sensitive data from other parts of the network.

Integrity refers to the accuracy and completeness of personal data. To ensure integrity, organizations should implement measures such as data validation, data quality controls, and backup and recovery procedures. Data validation should ensure that personal data is complete, accurate, and consistent, and data quality controls should ensure that personal data is reliable and fit for its intended purpose. Backup and recovery procedures should ensure that personal data is recoverable in case of a security breach or data loss.

Availability refers to the accessibility and usability of personal data. To ensure availability, organizations should implement measures such as disaster recovery, business continuity planning, and redundancy. Disaster recovery and business continuity planning should ensure that personal data is available even in case of a major disruption, such as a natural disaster or a cyber attack. Redundancy should ensure that personal data is available even if a component of the infrastructure fails.

Out of the given options, the best answer would be conducting a data protection impact assessment (B) to ensure confidentiality, integrity, and availability of personal data. A data protection impact assessment is a process that helps organizations identify and mitigate risks to the privacy of personal data. It involves identifying the types of personal data processed, assessing the risks to the privacy of that data, and identifying appropriate technical and organizational measures to mitigate those risks.

While vulnerability assessments (A), penetration testing (C), and awareness testing (D) are important security measures, they do not directly address the requirements of GDPR to ensure confidentiality, integrity, and availability of personal data.