Salesforce AI Specialist Practice Exam 2025 – The All-In-One Guide to Master Your Certification!

Data Masking is a critical feature within the Einstein Trust Layer, specifically designed to safeguard sensitive information. Its primary focus is on protecting personally identifiable information (PII), which includes data that can identify an individual, such as names, social security numbers, and email addresses. By using Data Masking, organizations ensure that such sensitive data is obscured or modified, thus minimizing the risk of unauthorized access or disclosure.

This feature is particularly important in compliance with various data protection regulations, which require entities to handle PII with utmost care. By masking this information, organizations can benefit from using data for analytics and AI without compromising user privacy or violating legal standards.

While other types of data, such as financial transaction details or sales forecasts, may also have their security measures, they do not specifically align with the core purpose of Data Masking within this context. The focus on PII highlights the crucial nature of protecting individual identities in a digital environment where data breaches are a significant concern.