What does the Einstein Trust Layer's Data Masking feature specifically protect during AI interactions?

The Data Masking feature of the Einstein Trust Layer is designed specifically to protect Personally Identifiable Information (PII) during AI interactions. This feature ensures that sensitive data, like names, addresses, contact information, and other identifiers that can be used to trace back to an individual, remain secure and confidential when AI processes data. The use of Data Masking means that during AI interactions, rather than exposing actual PII, the system will hide or alter these details, ensuring that privacy is maintained and compliance with data protection regulations, like GDPR or CCPA, is upheld.

While encryption keys and user passwords are crucial for securing data and maintaining system integrity, they are not the focus of the Data Masking feature. Additionally, internal audit logs are important for tracking and monitoring system actions but do not directly relate to the purpose of protecting user-specific information in AI interactions. Thus, the emphasis of the Data Masking feature is on safeguarding PII.