Data classification

Data classification is the process of categorizing data based on its importance, sensitivity, or value to an organization. Data classification is an important aspect of information security, and is used to help organizations understand the risks associated with different types of data and to implement appropriate controls to protect it.

There are many different ways that data can be classified, and organizations often use a combination of different classification schemes to meet their specific needs. Some common examples of data classification schemes include:

Confidentiality: Data may be classified based on the level of confidentiality it requires, such as public, internal, confidential, or highly confidential.

Sensitivity: Data may be classified based on the level of sensitivity it contains, such as personal data, financial data, or intellectual property.

Value: Data may be classified based on its value to the organization, such as mission-critical data, strategic data, or operational data.

Overall, data classification is an important aspect of information security, and is used to help organizations understand the risks associated with different types of data and to implement appropriate controls to protect it.


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