Securely access relevant customer data to ground generative AI prompts for the best outputs.
Add domain-specific knowledge and customer information to the prompt to give the model the context it needs to respond more accurately.
Mask the data used in your prompts to add an additional layer of protection.
Secure AI is AI that protects your customer data without comprimising the quality of its outputs. Customer and company data are key to enriching and personalizing the results of AI models, but it's important to trust how that data is being used.
One of the top safety concerns of AI is data privacy and security, given that many customers don't trust companies with their data. Generative AI specifically also introduces new concerns around accuracy, toxicity, and bias of content that it generates.
Salesforce keeps its customers' data secure using the Einstein Trust Layer, which is built directly into the Platform. The Einstein Trust Layer includes a number of data security guardrails such as data masking, TLS in-flight encryption, and Zero Data Retention with Large Language Models.
Deploying trusted AI will empower you to reap the benefits of AI without compromising on your data security and privacy controls. The Einstein Trust Layer allows you achieve peace of mind when it comes to where your data is going and who has access to it, so that you can focus on achieving the best outcomes with AI.
First, understand how AI can address your business needs and identify your use cases. Next, choose a partner that you can trust with a proven track record of delivering trusted AI solutions. Lastly, determine the regulatory and compliance requirements for your specific industry to inform your approach to your trusted AI journey.