What type of data does the Einstein Trust Layer focus on masking?

The Einstein Trust Layer is specifically designed to enhance data security and user privacy by focusing on masking sensitive data. Sensitive data refers to any information that could potentially lead to privacy breaches or legal issues if exposed, such as personally identifiable information (PII), financial records, and health information. By masking such data, the Einstein Trust Layer ensures that while analytics and AI functionalities can still utilize the data for insights, the actual sensitive values are protected and remain confidential. This focus on sensitive information is crucial for compliance with data protection regulations and for maintaining user trust in the systems that handle their data.

The other types of data mentioned, such as general information, basic user profiles, and all CRM data, do not specifically address the need for heightened security measures like those applied to sensitive data. General information and basic user profiles may not pose immediate risks in terms of privacy, while "all CRM data" is too broad and encompasses both sensitive and non-sensitive data, thereby diluting the specific focus that the Einstein Trust Layer maintains on sensitive information.