Masking data before being transferred to the test environment is the best recommendation to address the situation where sensitive data from the production environment is required for testing purposes in non-production environments. Data masking is a technique that replaces sensitive data elements with realistic but fictitious data, preserving the format, structure, and meaning of the original data. Data masking ensures that the test data is sufficiently anonymized and de-identified, while still maintaining its functionality and validity for testing purposes. Data masking also reduces the risk of data leakage, exposure, or breach in the test environment, which may have lower security controls than the production environment. The other options are not the best recommendations, as they do not adequately protect the sensitive data or meet the testing requirements. Enabling data encryption in the test environment may protect the data from unauthorized access, but it does not prevent the data from being decrypted by authorized users who may misuse or mishandle it.
Implementing equivalent security in the test environment may be costly, complex, or impractical, and it may not be feasible to replicate the same level of security controls as in the production environment. Preventing the use of production data for test purposes may not be possible or desirable, as production data may be required to ensure the accuracy, reliability, and quality of the testing results. References = P = NP: Cloud data protection in vulnerable non-production environments ...; Data masking secures sensitive data in non-production environments ...; CRISC EXAM TOPIC 2 LONG Flashcards | Quizlet