Beyond security, guardrails also serve to protect against the disclosure of a company’s sensitive data - from the user to the model or vice versa. They can protect against harmful or offensive uses of AI, ensure generated content aligns with product branding strategies, and keep chat conversations on topic.

Today, we are announcing LLM Guardrails in Unity AI Gateway, now in beta! This release builds on an earlier version of guardrails in the Gateway; in particular, it uses LLM-powered guardrails to expand and improve the performance of pre-built guardrails and offers a highly tunable custom guardrail option. In this blog post, we’ll show you how to use these guardrails to mitigate against multiple AI security and compliance risks.

Acme Co.'s marketing team is launching an AI assistant to help draft campaigns. Acme’s CIO has established some blanket company policies for LLM usage, including:

Additionally, the marketing team is very mindful of protecting their brand image and of taking the high road in competition. For this campaign, they have decided to avoid disparaging competitors or even naming them.