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Critical: This level includes data that is essential to the organization's operations and could cause significant harm or loss if compromised. Examples of critical data may include trade secrets, intellectual property, or classified government information.
It's important to note that these definitions are not universal and may vary depending on the organization's specific needs and requirements. Additionally, it's crucial to implement appropriate security measures for each level of data sensitivity to protect against unauthorized access, disclosure, or modificationLeiden University suggests that data should be classified to assess its value and potential security risks. This is an important aspect of registering processing activities, whether they involve personal information or not.