Certified Information Systems Auditor 2025 – 400 Free Practice Questions to Pass the Exam

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What critical outcome does data classification ensure for organizations?

Increased marketing effectiveness

Improved customer service protocols

Appropriate levels of protection and access control for data

Data classification is a fundamental process that involves categorizing data based on its sensitivity and the level of protection it requires. This process is crucial for organizations because it establishes appropriate levels of protection and access control, ensuring that sensitive information is safeguarded from unauthorized access and potential breaches.

By classifying data, organizations can enforce specific security measures tailored to the data's importance. For instance, highly sensitive information, such as personal identifiable information (PII) or financial records, can be subject to stricter access controls and protection mechanisms. This ensures compliance with regulations and helps in mitigating risks associated with data breaches. Additionally, proper classification aids in streamlining the management of data, making it easier to apply appropriate security policies across different data types.

In contrast, while increased marketing effectiveness, improved customer service protocols, and higher employee satisfaction scores are valuable goals, they are not direct outcomes of data classification. These aspects may benefit indirectly from robust data protection measures but are not the primary focus of data classification efforts. The essence of data classification lies in the structured protection and access control it provides for organizational data.

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Higher employee satisfaction scores

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