Which technique helps maintain compliance with privacy regulations in Salesforce AI?

Data masking is a technique that helps ensure compliance with privacy regulations in Salesforce AI by protecting sensitive information. This involves obscuring or encrypting specific data fields so that unauthorized users cannot access identifiable information. By replacing original data with fictional or scrambled values, organizations can effectively minimize the risk of exposure for sensitive personal data, thereby supporting compliance with regulations such as GDPR or CCPA.

This technique allows organizations to leverage real data insights while safeguarding users' privacy, making it crucial for maintaining trust and legal compliance in an increasingly regulated data environment. Additionally, data masking enables compliance during testing and development phases, where developers may need realistic data sets without compromising user privacy.