A multinational corporation is implementing a new data classification scheme. They want to ensure that all data is categorized based on its sensitivity and value to the organization. Which of the following approaches is best for creating an effective data classification program?
Classifying data based on which department owns the information
Classifying data based on where it is stored rather than its content
Implementing a classification scheme based on data sensitivity, regulatory requirements, and business value
Using regulatory compliance requirements as a basis for classification levels
The best answer is the combined implementation of a classification scheme based on data sensitivity, regulatory requirements, and business value. This comprehensive approach addresses all key aspects of data classification. It considers the sensitive nature of the information, ensures compliance with relevant regulations, and accounts for the business value of the data. A well-designed classification scheme should balance these three factors to ensure appropriate protection levels.
The other answers are incomplete or flawed approaches. Using compliance requirements as a basis ignores other important factors like the actual sensitivity and business value of data, which could lead to over-protection or under-protection. Classifying based on department ownership ignores the potential for variation in data's business value and sensitivity. Basing classification on where data is stored is fundamentally flawed as the sensitivity of data doesn't change based on its location - sensitive data requires appropriate controls regardless of where it resides.
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