Which data obfuscation technique uses a lookup table to match data to a randomly generated value?

Tokenization is the correct answer as it involves replacing sensitive data with non-sensitive placeholders called tokens. These tokens are mapped back to the original data using a lookup table, which links each token to its corresponding value. This process allows the original data to be securely stored and only accessed when necessary, thus minimizing the exposure of sensitive information.

Encryption, while it also protects data, transforms it using algorithms and keys, making it unreadable without the correct decryption key but does not utilize a lookup table for mapping. Hashing is a method that generates a fixed-size output (hash) from variable size input, primarily intended for integrity verification rather than data obfuscation through lookup. Data masking involves modifying data in a way that its original form is not discernible, but it does not necessarily involve a lookup table to match values. Each of these techniques serves different purposes in data protection, with tokenization specifically focused on mapping sensitive data to tokens through a lookup system.