In a healthcare setting, which feature of the Trust Layer is critical for patient data privacy when using Salesforce Einstein?

Data Masking is a vital feature of the Trust Layer in a healthcare setting, especially concerning the privacy of patient data when leveraging Salesforce Einstein. This feature helps protect sensitive information by obfuscating or altering the data in a way that it remains usable for analysis while ensuring that personally identifiable information (PII) is not exposed.

In healthcare, where the confidentiality of patient data is paramount, Data Masking allows organizations to analyze and gain insights from data without compromising the privacy of individuals. By masking sensitive data, healthcare providers can maintain compliance with regulations such as HIPAA, which demand strong protections for patient information.

While TLS Encryption ensures that data transmission is secure and protects data from being intercepted during transit, it does not directly address how data is managed within the system. An Audit Trail provides valuable tracking of changes and access to data, but it doesn't inherently protect the data itself. Toxicity Detection, although useful in identifying harmful content, is not specifically aligned with patient data privacy concerns.

Thus, Data Masking stands out as the most critical feature for ensuring that patient data remains protected in a healthcare context while still allowing for the use of advanced analytics through Salesforce Einstein.