Nvidia releases more tools and guardrails to nudge enterprises to adopt AI agents

Nvidia is releasing three new NIM microservices, or small independent services that are part of larger applications, to help companies bring additional control and security measures to their AI agents.

One of these new NIM services targets content security and works to prevent an AI agent from generating harmful or biased results. Another works to keep conversations focused only on approved topics, while a third new service helps prevent an AI agent from trying to jailbreak or remove software restrictions.

These three new NIM microservices are part of Nvidia NeMo GuardrailsNvidia’s existing collection of open source software tools and microservices is intended to help companies improve their AI applications.

“By deploying multiple lightweight, specialized models as guardrails, developers can cover the gaps that can arise when only more general global policies and protections exist — because a one-size-fits-all approach doesn’t properly secure and control complex AI agent workflows,” the press release he said.

It seems AI companies may be starting to realize that getting businesses to adopt their AI agent technology won’t be as easy as they first thought. While people like recent Salesforce CEO Marc Benioff predicted with more than a billion agents fleeing Salesforce alone in the next 12 months, the reality is likely to look a little different.

A recent study by Deloitte predicted that around 25% of businesses are either already using AI agents or expect to in 2025. The report also predicts that by 2027, around half of businesses will be using agents. This shows that while businesses are clearly interested in AI agents, they are not adopting AI technology at the same rate that innovation is happening in the AI ​​space.

Nvidia probably hopes that initiatives like this will make the adoption of AI agents safer and less experimental. Time will tell if this is indeed true.