Which type of data is least likely to be tokenized?

Tokenization is a process where sensitive data is replaced with unique identification symbols (tokens) that retain all the essential information about the data without compromising its security. In this context, the type of data that is least likely to be tokenized is publicly available information.

Publicly available information generally does not require the same level of protection as sensitive data like credit card numbers, Social Security numbers, or patient health information. Since this type of information is already accessible to the public, the need for tokenization diminishes significantly. Tokenization is typically utilized to secure sensitive data that, if exposed, could lead to identity theft, financial fraud, or violation of privacy regulations.

In contrast, financial data, personal identification numbers, and health records contain sensitive information that, if compromised, can cause serious harm to individuals or organizations. Thus, they are usually prioritized for tokenization to protect privacy and comply with various regulations.