Nvidia has announced the release of three new NIM microservices, designed to provide enterprises with additional control and safety measures for their AI agents. These microservices are part of Nvidia NeMo Guardrails, an open-source collection of software tools and microservices aimed at improving AI applications.

The new NIM microservices target specific areas of concern for enterprises adopting AI agents. One service focuses on content safety, preventing AI agents from generating harmful or biased outputs. Another service ensures conversations remain focused on approved topics, while the third service helps prevent AI agents from attempting to "jailbreak" or remove software restrictions.

According to Nvidia, the goal of these microservices is to provide a more comprehensive approach to AI agent security and control. By applying multiple lightweight, specialized models as guardrails, developers can cover gaps that may occur when relying solely on general global policies and protections. This approach acknowledges that a one-size-fits-all approach may not be sufficient for securing and controlling complex agentic AI workflows.

The release of these new microservices comes as AI companies are beginning to realize that getting enterprises to adopt their AI agent technology may not be as straightforward as initially thought. Despite predictions of widespread adoption, such as Salesforce CEO Marc Benioff's forecast of over a billion agents running on Salesforce alone in the next 12 months, the reality may be more nuanced.

A recent study by Deloitte found that only about 25% of enterprises are currently using AI agents or expect to do so in 2025. The report also predicted that by 2027, around half of enterprises will be using AI agents. This suggests that while enterprises are interested in AI agents, they are not adopting the technology at the same pace as innovation is happening in the AI space.

Nvidia's initiative is likely an attempt to address these concerns and make adopting AI agents seem more secure and less experimental. By providing enterprises with additional tools and services to improve AI agent safety and control, Nvidia hopes to increase confidence in the technology and drive adoption. Only time will tell if this strategy will be successful.

The release of these new NIM microservices highlights the ongoing efforts of AI companies to address the concerns and needs of enterprises. As the AI landscape continues to evolve, it will be important to monitor the impact of these initiatives on the adoption and development of AI agents.