Data Classification
Data classification is the process of organizing and categorizing data based on its sensitivity, value, or other criteria. The goal of data classification is to ensure that data is protected and handled appropriately based on its level of sensitivity or importance.
Data classification can be done using various criteria, such as the type of data, the level of sensitivity, or the business impact of the data. For example, data may be classified as public, internal, confidential, or restricted based on its sensitivity level. Alternatively, data may be classified based on its value to the organization, such as critical, important, or low priority.
Once data is classified, appropriate security measures can be implemented based on the classification. For example, data classified as confidential may require additional security measures, such as encryption, access controls, or monitoring, to ensure that it is protected from unauthorized access or disclosure.
Data classification is an important aspect of data management and security, as it ensures that data is appropriately protected based on its sensitivity or importance.
Data classification can be done using various criteria, such as the type of data, the level of sensitivity, or the business impact of the data. For example, data may be classified as public, internal, confidential, or restricted based on its sensitivity level. Alternatively, data may be classified based on its value to the organization, such as critical, important, or low priority.
Once data is classified, appropriate security measures can be implemented based on the classification. For example, data classified as confidential may require additional security measures, such as encryption, access controls, or monitoring, to ensure that it is protected from unauthorized access or disclosure.
Data classification is an important aspect of data management and security, as it ensures that data is appropriately protected based on its sensitivity or importance.
