What does data classification involve?

Data classification involves assigning sensitivity levels to data, which is crucial for determining how data should be handled, accessed, and protected. This process organizes data into categories based on its sensitivity and the impact that its unauthorized disclosure, alteration, or destruction could have on an organization or individuals. By classifying data, organizations can implement appropriate security measures, ensuring that sensitive information receives greater protection than less sensitive information.

For example, data might be categorized as public, internal, confidential, or highly confidential, each requiring different levels of access controls and security protocols. This classification not only helps in compliance with regulations but also aids in managing risks effectively.

The focus on managing user permissions, encrypting stored information, and conducting audits on data access are important aspects of data protection, but they follow from the classification process. Once data has been classified, organizations can then prioritize their efforts regarding user permissions, encryption, and audits based on the sensitivity levels assigned to different types of data.