Solving an ARD problem in AI: Agentic Resource Discovery Google, Microsoft, Cisco, Nvidia, and Salesforce have launched Agentic Resource Discovery (ARD), a new protocol that enables AI agents to autonomously discover and use tools and services across enterprise systems. ARD standardizes resource sharing through Catalogs and Registries layers, solving the challenge of integrating disparate tools for agentic AI workflows. Enterprises implementing agentic AI https://www.infoworld.com/article/4162871/the-agentic-ai-frenzy-increases-as-more-vendors-stake-their-claims.html face a challenge: Which tools https://www.computerworld.com/article/3617392/what-are-ai-agents-and-why-are-they-now-so-pervasive.html should they allow their agents to use, where can they be found, and how can they be used safely? A new protocol, Agentic Resource Discovery https://agenticresourcediscovery.org/ , or ARD, aims to let agents answer those questions for themselves. Behind it are Google, Microsoft, Cisco, Nvidia, Salesforce and others. ARD aims to standardize the way that tools and services are shared across systems within a corporate domain. For example, when investigating a production problem, an agent may want to query engineering documentation and open support tickets, deployment history and observability systems, all of which could be managed by different registries and across different silos. There is no common layer that pulls them together. ARD has been designed to be that layer. It operates across two levels. Catalogs and Registries. In the first, an organization publishes a catalog setting out its available capabilities. The Registries layer act as a form of search engine, crawling those published catalogs. The ARD specification is available now. Organizations are invited to publish their own catalogs using the quickstart guide https://agenticresourcediscovery.org/how to publish/ step-1-create-the-manifest-ai-catalogjson . After this, they are able to join the community https://github.com/ards-project/ard-spec and participate in the evolution of ARD.