that no customer data is stored outside of Salesforce. Generative AI prompts and outputs are never stored in the LLM, and are not learned by the LLM. They simply disappear.
Auditing continually evaluates systems to make sure they are working as expected, without bias, with high quality data, and in-line with regulatory and organizational frameworks. Auditing also helps organizations meet compliance needs by logging the prompts, data used, outputs, and end user modifications in a secure audit trail.
Secure data retrieval is how Einstein GPT – the world’s first generative AI for customer relationship management (CRM) – pulls data from Salesforce, including Data Cloud, as part of the dynamic grounding america phone number list process. This lets you bring in the data you need to build contextual prompts. In every interaction, governance policies and permissions are enforced to ensure only those with clearance have access to the data.
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Julie Sweet, CEO of Accenture, said risks are mitigated when privacy and security safeguards like these are built right into the technology.
Trust in AI data privacy starts with good governance
All the technology in the world isn’t enough to ensure transparent, responsible, safe AI. It also requires good governance, starting at the top, and human oversight of AI systems.