Which data types are commonly mapped to PII, PHI, and PCI categories in DLP, and why mapping is important?

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Multiple Choice

Which data types are commonly mapped to PII, PHI, and PCI categories in DLP, and why mapping is important?

Explanation:
Mapping data types to PII, PHI, and PCI categories in DLP ties the sensitivity of data to the protections and controls that should apply. This alignment lets the system know what to look for, how to treat it, and what kind of reporting to generate. PII covers identifiers like names, Social Security numbers, and addresses. PHI includes medical records and other health information. PCI encompasses cardholder data such as PAN, expiration date, and CVV. By assigning data items to these categories, DLP can apply the appropriate detection rules, encryption or access controls, retention policies, and incident reporting tailored to each type. Why this matters: targeted detection means the system focuses on the right patterns for each data category, improving accuracy and reducing unnecessary alerts. It also ensures compliance-related handling—privacy laws for PII, HIPAA requirements for PHI, and PCI DSS rules for card data—are reflected in how data is processed and reported. The other statements miss the mark by mischaracterizing what belongs to each category or by suggesting there’s no impact on policy design and reporting.

Mapping data types to PII, PHI, and PCI categories in DLP ties the sensitivity of data to the protections and controls that should apply. This alignment lets the system know what to look for, how to treat it, and what kind of reporting to generate.

PII covers identifiers like names, Social Security numbers, and addresses. PHI includes medical records and other health information. PCI encompasses cardholder data such as PAN, expiration date, and CVV. By assigning data items to these categories, DLP can apply the appropriate detection rules, encryption or access controls, retention policies, and incident reporting tailored to each type.

Why this matters: targeted detection means the system focuses on the right patterns for each data category, improving accuracy and reducing unnecessary alerts. It also ensures compliance-related handling—privacy laws for PII, HIPAA requirements for PHI, and PCI DSS rules for card data—are reflected in how data is processed and reported. The other statements miss the mark by mischaracterizing what belongs to each category or by suggesting there’s no impact on policy design and reporting.

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