Data Encryption is a vital tool in ensuring data privacy, as it transforms data into a coded format that can only be accessed by authorized individuals. This prevents unauthorized access during data transmission and storage. Anonymization, on the other hand, involves altering personal data in such a way that individuals cannot be identified, thereby protecting their privacy while still allowing data to be used for analysis and research.

The General Data Protection Regulation (GDPR) is a key regulatory framework aimed at protecting data privacy in the European Union. It mandates strict guidelines for data collection, processing, and storage, ensuring that individuals' personal data is handled with utmost care. Regulatory compliance refers to adhering to these laws and standards to avoid legal penalties and maintain data privacy.

A Data Breach occurs when unauthorized individuals gain access to personal data, leading to potential harm. Organizations conduct Privacy Impact Assessments (PIAs) to identify and mitigate privacy risks associated with data processing activities. Data Minimization is the practice of limiting data collection to only what is necessary, reducing the risk of data breaches and enhancing data privacy.

Data Subject Rights are the rights granted to individuals regarding their personal data, including the right to access, correct, and delete their data. Personal Data refers to any information that can identify an individual, and protecting it is the cornerstone of data privacy.

Data Governance involves the overall management of data availability, usability, integrity, and security within an organization. Data Classification is the process of categorizing data based on its sensitivity and importance. Content Compliance ensures that data handling practices meet regulatory and organizational standards. Data Protection includes all measures taken to safeguard data from threats. Geo Masking is the practice of obscuring data based on geographical location to protect privacy.