Question 41

Replacing sensitive data with surrogate values

Tokenization is a data protection strategy that involves replacing sensitive data with surrogate values, which helps maintain confidentiality while allowing for data processing. This method ensures that the original sensitive information is not exposed or stored in an insecure manner.

A) Encrypting databases containing sensitive data

While encrypting databases is a security measure to protect data, it does not involve tokenization. Encryption transforms data into an unreadable format but does not replace the sensitive data with non-sensitive equivalents, which is the hallmark of tokenization.

B) Replacing sensitive data with surrogate values

This option accurately defines tokenization, as it entails substituting sensitive data with non-sensitive placeholders or tokens. This method allows organizations to reduce the risk of data breaches while still enabling business operations that require the use of data.

C) Removing sensitive data from production systems

Although removing sensitive data from production systems is a data protection strategy, it is not tokenization. This approach focuses on eliminating sensitive data entirely, rather than substituting it with surrogate values, which is essential to the tokenization process.

D) Hashing sensitive data in critical systems

Hashing is a technique used to convert data into a fixed-size string of characters, typically for verification purposes. However, it does not involve the replacement of sensitive data with surrogate values, and thus does not fit the definition of tokenization.

Conclusion

The correct answer, replacing sensitive data with surrogate values, is the essence of tokenization, distinguishing it from other data protection strategies that either encrypt, remove, or hash data. Options A, C, and D do not align with the tokenization concept, as they focus on different methods of securing sensitive information without replacing it with non-sensitive equivalents.