Generative AI, including models like GPT-3, revolutionizes business operations. GPT, or Generative Pre-trained Transformer, is an AI system that creates human-like text from its training data. These models learn from extensive internet datasets, enabling them to generate high-quality content on various topics. Salesforce is poised to harness these technologies for customer benefit. But as their advertisements elude to, is your data secure? Given that TRUST is a core value of Salesforce, it’s logical they would prioritize this in their AI approach.

Protecting your DATA

Introducing the Einstein GPT Trust Layer, a new standard for trusted enterprise AI. It lets organizations enjoy the benefits of generative AI while ensuring data privacy and security. This is because it prevents large-language models (LLMs) from retaining sensitive customer data.

Einstein GPT is an AI tool that merges public and private AI models with CRM data. This allows users to ask natural-language prompts within Salesforce CRM, resulting in AI-generated content that adapts to changing customer information and needs. This saves users time as they no longer need to manually create content. Einstein GPT integrates Salesforce’s private AI models, and OpenAI’s ChatGPT, even allows users to incorporate their own external models. Data is fed into these models in real-time from Salesforce’ Clouds’ and the Salesforce Data Cloud, harmonizing and unifying all customer data.

Key features of the Einstein GPT Trust layer include:

• Prompts: A canvas for providing detailed context and instructions to Large Language Models. The Einstein Trust layer allows responsible grounding of your prompts in customer data and masks that data when shared with Large Language Models.
• Zero Data Retention: The Einstein GPT Trust Layer prevents customer data from being stored outside Salesforce, ensuring prompts and responses are not stored by third-party LLM providers or used to train their models.
• Encrypted Communications: Encrypting communications over TLS safeguards prompts sent to an LLM, along with the responses sent back to Salesforce.
• Data Access Checks: These govern prompts by restricting data grounding to only the data allowed by the user’s permissions.
• Feedback Store: The Einstein GPT Trust Layer collects feedback data to improve the quality of prompts over time.
• Audit Trail: This feature securely logs all prompts, outputs, interactions, and feedback data, helping teams benefit from generative AI while meeting their compliance needs.

As a Salesforce Implementation Partner, Vantage Point understands how to implement AI tools like GPT strategically. We can help customers:

• Identify high-value GPT use cases tailored to their industry, teams, and objectives
• Integrate GPT APIs into existing Salesforce workflows using Claude or third-party services
• Train customized GPT models on company data, guidelines, and tone of voice
• Set up rigorous governance practices for responsible and ethical AI usage
• Continuously monitor model quality and bias through transparency reports

With the right strategy, GPT and generative AI can drive significant business value by automating repetitive tasks and scaling personalized customer interactions.

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