Which of the following methods is often used to obscure data from production systems for use in test or development environments?

Tokenization replaces sensitive data with a non-sensitive equivalent (a token) but typically for live transactional systems, not primarily to create test data.

Encryption protects data in transit or at rest, but decrypting it for testing would reveal the original sensitive data, defeating the purpose of obscuring it for non-production use.

Data masking, also known as data obfuscation, involves replacing sensitive data with structurally similar but inauthentic data. This allows developers and testers to work with realistic datasets without exposing actual sensitive information, which is crucial for compliance and privacy in non-production environments.

Classification categorizes data by sensitivity but does not obscure or transform the data itself.