Einstein Trust Layer

Trusting generative AI with your company secrets and your customer data while balancing the benefits of generative AI is still a challenge today. The Einstein Trust Layer is a secure AI architecture, built into the Salesforce platform. It’s a set of agreements, security technology, and data and privacy controls used to keep your company safe while you explore generative AI solutions.

Watch the video for a quick overview of how the Einstein Trust Layer works. You can also click this link to launch the video in full screen mode on a different tab.

For a detailed walkthrough of the Einstein Trust Layer and its capabilities, see Einstein Trust Layer: Designed for Trust.

	Zero-Data Retention Policy Your data isn’t retained by third-party LLMs. We partner with all our external model providers, such as OpenAI, to enforce the zero-data retention policy. No data is used for LLM model training or product improvements by third-party LLMs. No data is retained by the third-party LLMs. No human being at the third-party provider looks at data sent to their LLM.
	Dynamic Grounding with Secure Data Retrieval Relevant information from a Salesforce record is merged with the prompt to provide context. Secure data retrieval of Salesforce data for grounding the prompt based on the permissions of the user executing the prompt. Secure data retrieval preserves in place all standard Salesforce role-based controls for user permissions and field-level security when merging grounding data from your CRM instance or Data 360.
	Prompt Defense System policies help limit hallucinations and decrease the likelihood of unintended or harmful outputs by the LLM. System policies can vary for different generative AI features and use cases.
	Data Masking Sensitive data is detected and masked before sending the prompt to the LLM. Data masking supports multiple regions and languages. You can select what must and must not be masked.
	Toxicity Scoring Einstein Trust Layer scores content on toxicity. Toxicity scores are logged and stored in Data 360 as part of the audit trail.
	Audit Prompts, responses, and trust signals are logged and stored in Data 360. Feedback can be used for improving prompt templates. Provides pre-built reports and dashboards for analysis.