Einstein Trust Layer
Salesforce's LLM security abstraction — masks PII before sending to AI models, audits every prompt and response, and blocks training on customer data.
Quick answer
What is Einstein Trust Layer?
Salesforce's LLM security abstraction — masks PII before sending to AI models, audits every prompt and response, and blocks training on customer data.
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The Einstein Trust Layer is Salesforce's answer to the "can we trust AI with customer data" question. It sits between Salesforce records and the underlying LLM (OpenAI, Anthropic, Google, or via BYOM). Before any prompt reaches the model, the Trust Layer: (1) masks PII like emails, phone numbers, SSNs; (2) applies dynamic grounding via approved data sources; (3) checks for toxicity; (4) logs the full transaction for audit; (5) demasks PII before returning the response to the user.
For enterprise Salesforce customers — especially in healthcare, financial services, and government — the Trust Layer is the deciding factor for AI deployment. It addresses GDPR, HIPAA, and SOC 2 concerns by ensuring sensitive data never persists in the LLM provider's logs.
Limitations: the Trust Layer works best when the LLM is consumed via Salesforce's own infrastructure. BYOM architectures need to implement equivalent masking, governance, and audit trails — which is exactly what gptfy.ai's Security Layer provides for non-Einstein models.
Related terms
Browse all terms- PII MaskingDetecting and redacting personally identifiable information (names, emails, SSNs) from text before sending to an external LLM, then restoring in the response.
- GroundingSupplying an LLM with authoritative, current, customer-specific data inside the prompt so its response is anchored in real information, not training data.
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