Data protection - Introduction

Data protection - Introduction

Data protection is the practice of safeguarding personal and sensitive information from unauthorized access, use, disclosure, or destruction. It is an important aspect of data management and is critical for ensuring the privacy and security of individuals and organizations.

There are a variety of different measures and techniques that can be used to protect data, including encryption, access controls, and data backup and recovery. These measures help to ensure that data is secure and can only be accessed by authorized individuals or systems.

Data protection is governed by a variety of laws and regulations, including the General Data Protection Regulation (GDPR) in the European Union (EU) and the California Consumer Privacy Act (CCPA) in the United States. These laws establish standards and requirements for the handling of personal and sensitive data and impose fines and penalties for non-compliance.

Data protection is essential for protecting the privacy and security of individuals and organizations. It is an important consideration in a variety of industries and fields, including healthcare, finance, and more. Ensuring the protection of data is crucial for maintaining trust and ensuring the integrity of systems and processes.


relevant for: Chief Data Officer, Privacy Officer, Information security
    • Related Articles

    • First-party data - Introduction

      First-party data is data that is collected and owned by a company or organization. It is a critical business asset because it provides valuable insights and information about the company's customers, products, and operations. One of the main benefits ...
    • Data Catalog - Introduction

      A data catalog is a central repository or database that stores metadata about an organization's data assets. Metadata is information that describes the characteristics and context of data, such as its format, source, owner, and usage. A data catalog ...
    • Synthetic data - Introduction

      Synthetic data is a type of data that is artificially generated, rather than being collected from real-world sources. It is often used for testing and evaluating machine learning models, as well as for various other purposes such as data privacy, ...
    • Information security and privacy policies - Introduction

      Security and privacy levels refer to the measures and controls that are put in place to protect data and ensure the confidentiality, integrity, and availability of information and systems. Security refers to the protection of data and systems from ...
    • Data in motion - Introduction

      Data in motion refers to data that is actively being transferred or transmitted from one location to another. This can include data that is being transmitted over a network, such as the internet, or data that is being transferred between devices or ...