Which data protection strategy would be useful for a situation where the ability to remove sensitive data from a set is needed, but a requirement to retain the ability to map back to the original…

The correct answer is B. Tokenization. Tokenization involves the replacement of sensitive data fields with key or token values, which can ultimately be mapped back to the original, sensitive data values. Masking refers to the overall approach to covering sensitive data, and anonymization is a type of masking, where…

Submitted by kev92· Apr 18, 2026Cloud Data Security

Question

Which data protection strategy would be useful for a situation where the ability to remove sensitive data from a set is needed, but a requirement to retain the ability to map back to the original values is also present?

Options

AMasking
BTokenization
CEncryption
DAnonymization

How the community answered

(34 responses)

A
3% (1)
B
91% (31)
C
6% (2)

Explanation

Tokenization involves the replacement of sensitive data fields with key or token values, which can ultimately be mapped back to the original, sensitive data values. Masking refers to the overall approach to covering sensitive data, and anonymization is a type of masking, where indirect identifiers are removed from a data set to prevent the mapping back of data to an individual. Encryption refers to the overall process of protecting data via key pairs and protecting confidentiality.

Topics

#Data Protection Strategies#Tokenization#Data Obfuscation#Data Security

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