The Einstein Trust Layer is a robust set of features and guardrails that protect the privacy and security of your data, improve the safety and accuracy of your AI results, and promote the responsible use of AI across the Salesforce ecosystem. With features like dynamic grounding, zero data retention, and toxicity detection, the Einstein Trust Layer is designed to help you unleash the power of generative AI without compromising your safety or security standards.
When a user initiates a prompt within a CRM app, that prompt is intelligently combined with relevant company data through secure data retrieval processes. Salesforce employs dynamic grounding to align the input with specific business contexts and applies data masking when necessary to protect sensitive information.
This combined, secure input then passes through Salesforce's Secure Gateway, which acts as a managed interface for communication with AI models. Throughout this process, Salesforce guarantees that no customer data is stored outside its ecosystem, ensuring strict compliance with data privacy and security standards.
These mechanisms allow Einstein to generate valuable, context-aware insights while maintaining the integrity and confidentiality of your company’s data.
With Secure Data Retrieval, you can access data from Salesforce using Data Cloud, ensuring that AI-generated outputs are more relevant and tailored to specific business needs. This feature emphasizes data security throughout the process, so any data used by generative AI models is protected and handled according to strict security standards. By leveraging Secure Data Retrieval, organization scan confidently harness their data to create contextual prompts and meaningful AI insights without compromising data safety.
Dynamic grounding guarantees that large language models (LLMs) offer answers that are correct and context-specific. This technique reduces the danger of producing irrelevant or misleading material by anchoring the model to credible and relevant facts. It improves the quality and precision of AI-generated responses, ensuring they are consistent with the intended context and factual correctness.
Data masking is critical for data privacy retention. To remove all PII (Personally Identifiable Information) occurrences before passing the prompts to LLMs, Salesforce employs data masking technologies within the Trust Layer. Data-in-use protection ensures that sensitive data is protected during the interaction between AI and other storage, computing, or networking services – adding another level of security and compliance to AI operations.
Under Zero Retention mode, data never leaves Salesforce. Once the model sees a prompt and outputs a response, both are immediately deleted from memory. All your data is safe since no data is kept for tracking purposes, quality checks or training in order to keep your information 100% private and secure.
False positive detection is an important part of the Trust Layer. The AI-generated content is screened for toxicity and bias, ensuring they comply with company standards and ethical guidelines. Besides this one, it also finds hate speech and bad prompt layers so its outputs are always safe and healthy for the users.
Auditing is the backbone for compliance and data quality within the Trust Layer. Processes are checked on a regular basis to see if they comply with regulatory requirements and whether the safeguards have been effective. Such oversight enhances transparency and accountability, assuring organizations that their data will be handled securely and reliably.
If you are interested in Einstein Trust Layer and would like to know more, reach out to us. We’d be happy to hear from you.
Einstein Trust Layer exemplifies Salesforce's commitment to secure, ethical and effective AI within CRM. Through advanced features like dynamic grounding, data masking, zero retention and toxicity detection, Salesforce provides businesses with a powerful toolset to leverage generative AI without compromising data security, privacy or trust.
If you are interested in Einstein Trust Layer and would like to know more, reach out to us. We’d be happy to hear from you.