Which method provides a secure means of managing sensitive information while still allowing for analytics?

The most effective method for managing sensitive information securely while still enabling analysis is through data masking and tokenization.

Data masking allows organizations to obfuscate sensitive information so that it can be used in non-production or analytical environments without exposing the actual data. This means that while users can perform analytical functions and derive insights from the data, they do not have access to the underlying sensitive information, thereby maintaining privacy and compliance with regulations.

Tokenization, on the other hand, replaces sensitive data with unique identification symbols (tokens) that retain specific information about the data without compromising its security. This allows organizations to conduct necessary operations, such as analytics, on the tokens rather than the actual sensitive data. In this approach, the original data is securely stored in a tokenization vault, ensuring that even if the tokenized data is exposed, the real sensitive information remains protected.

Therefore, the combination of both data masking and tokenization allows for secure handling of sensitive information while still facilitating analytics, making this answer the most suitable choice.