What is the process of defining the security level required for different types of data?

The process of defining the security level required for different types of data is known as data classification. This involves categorizing data based on its sensitivity, importance, and the level of protection it requires. Data classification helps organizations implement appropriate security controls and measures tailored to the data’s risk profile.

For instance, highly sensitive data, such as personal identification information (PII) or financial records, would require stringent security measures, while less sensitive data might warrant only basic protections. By establishing a clear classification system, organizations can ensure that they deploy the necessary resources to protect sensitive information effectively, comply with regulations, and reduce the risk of data breaches. This practice also facilitates better data governance and management, allowing for more efficient data handling and processing.

Other options relate to broader concepts in data management and security. Data protection planning encompasses a wider strategy for securing data and does not specifically address the classification of data types. Information architecture is focused on the structure and organization of information, while a data management strategy refers to the overarching plan for managing data throughout its lifecycle. These do not specifically pertain to the classification process tied to security requirements.