This provision states that prompts sent to third-party LLMs and the generated responses are never stored by those models and are not used to train them, with the document asserting that data processed under this policy remains the customer's property.
This analysis describes what Salesforce Einstein's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
This provision establishes a data retention and use restriction applicable to third-party LLM interactions within the Salesforce platform, which is a material term for enterprise customers assessing vendor data handling practices under GDPR, CCPA, and sector-specific data governance requirements. Compliance teams should verify whether this commitment is contractually codified in the applicable Data Processing Addendum, as the document is a policy framework rather than a binding agreement.
Interpretive note: The provision is stated as a policy commitment but the document does not specify whether it is contractually codified in the MSA or DPA, creating uncertainty about enforceability and remedies.
This provision establishes that customer data transmitted as prompts to third-party LLMs is not retained or used for model training, and the document asserts that such data remains exclusively the customer's property. Enterprise customers relying on this commitment for regulatory compliance purposes should confirm its codification in their specific contractual agreements with Salesforce.
Cross-platform context
See how other platforms handle Zero Data Retention Policy and similar clauses.
Compare across platforms →"Zero data retention is a strict policy where the prompts and generated responses are never stored or used to train the underlying third-party large language models, guaranteeing the data remains exclusively the customer's property.Excerpt from Salesforce Einstein's Salesforce Trusted AI Principles
(1) REGULATORY LANDSCAPE: This provision engages GDPR data minimization and purpose limitation principles, CCPA restrictions on secondary use of personal information, and HIPAA requirements for covered entities and business associates regarding use of protected health …
Enforcement risk, jurisdiction flags, contract triggers, and due diligence action items.
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This provision establishes a data retention and use restriction applicable to third-party LLM interactions within the Salesforce platform, which is a material term for enterprise customers assessing vendor data handling practices under GDPR, CCPA, and sector-specific data governance requirements. Compliance teams should verify whether this commitment is contractually codified in the applicable Data Processing Addendum, as the document is a …
This provision establishes that customer data transmitted as prompts to third-party LLMs is not retained or used for model training, and the document asserts that such data remains exclusively the customer's property. Enterprise customers relying on this commitment for regulatory compliance purposes should confirm its codification in their specific contractual agreements with Salesforce.
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