Salesforce AI Specialist Practice Exam

The Einstein Trust Layer ensures data privacy primarily by detecting and masking sensitive information before it is sent to the large language model (LLM). This approach is critical because it helps to safeguard personal or confidential data from being processed or exposed during machine learning operations. By proactively managing sensitive information, the Trust Layer ensures that individuals' privacy is maintained and that compliance with data protection regulations such as GDPR is upheld. This process not only protects users' sensitive information but also builds trust in the AI system by demonstrating a commitment to data privacy.

While the other options mention important security measures such as role-based access controls, enhanced firewall protections, and data encryption, these strategies serve different aspects of data security. Role-based access controls ensure that only authorized users can access certain data, while firewalls act as barriers to protect the network. Encryption protects the data during transit but does not directly address the need for sensitive information to be detected and masked prior to processing, thus providing less immediate prevention of unintentional data exposure in the context of AI interactions.