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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.

How to design trusted generative 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.