What security feature of the Einstein Trust Layer is aimed at preventing prompt injection attacks?

The feature focused on preventing prompt injection attacks within the Einstein Trust Layer is designed specifically to enhance security by providing mechanisms that help verify and filter the inputs given to the AI models. Prompt Defense works by scrutinizing user inputs and ensuring that only safe, expected commands or queries are processed. This acts as a safeguard against malicious attempts to manipulate the model through misleading prompts. Essentially, it helps maintain the integrity of the AI's responses by preventing unauthorized or harmful inputs from being executed.

While other features like Secure Data Retrieval and Grounding in CRM Data serve important roles in ensuring data safety and relevance, they are not specifically targeted towards countering prompt injection attacks. Dynamic Grounding, although it may enhance context understanding by linking responses to real-time data, does not directly address the security vulnerabilities related to the input prompts. Therefore, the targeted nature of Prompt Defense in the realm of protecting against these specific threats establishes it as the correct choice.