Does your organization have controls in place to prevent the use of sensitive production data in non-production environments?

Using real production data (like customer records, financial information, or personal data) in development, testing, or staging environments creates significant security and privacy risks if these environments lack the same security controls as production. Organizations should implement data masking, anonymization, or synthetic data generation to provide realistic test data without exposing sensitive information. Evidence could include documented data handling procedures, screenshots of data masking tools in use, sample anonymized datasets showing before/after transformation, or a data classification policy that explicitly prohibits copying production data to non-production environments without proper sanitization.