Which kind of Data Obfuscation method replaces data with random values that can be mapped to actual data?

Tokenization is a data obfuscation method that takes sensitive data and replaces it with non-sensitive equivalents, referred to as tokens. These tokens maintain the same format as the original data but have no exploitable value. Importantly, the mapping between the tokens and the actual data is securely managed by a tokenization system or server. This allows organizations to use the tokens in place of the actual data, which helps to protect sensitive information while still enabling necessary operations, such as data analysis or reporting.

For example, a credit card number could be tokenized to a random string, while the original number remains securely stored in a separate location. This method allows businesses to minimize their exposure to sensitive data, reducing the risk of data breaches.

The other options, while related to data protection, do not utilize the same mapping mechanism. Masking obscures data but does not allow for reversible conversion to the original data. Encryption secures data but does not produce random values, and transparency with sensitive data means that it remains visible without obfuscation, which contradicts the goal of protecting sensitive information. Therefore, tokenization stands out as the method that specifically replaces data with random values that can be mapped back to the actual data.