Which feature ensures compliance with privacy regulations by substituting sensitive information with placeholders?

Data masking is a feature that plays a vital role in ensuring compliance with privacy regulations by replacing sensitive information with placeholders. This process helps organizations protect sensitive data while still allowing non-sensitive elements to remain accessible for various purposes such as analysis and development.

By replacing actual data with masked values, data masking enables organizations to use production data in non-production environments without the risk of exposing sensitive information. This is especially important in contexts where personal data is involved, as it helps meet legal requirements and fosters trust with customers by reinforcing that their information is handled with care and confidentiality.

Each other choice relates to different areas of data handling and compliance, but they do not specifically address the need to replace sensitive information with placeholders the way data masking does. For example, audit trails track changes and access to data rather than altering the data itself, while dynamic grounding and toxicity detection serve different functions related to user interactions and content management.