AI BriefingSolving AI's ARD Problem: Agentic Resource Discovery
Key point
Major IT companies including Google and Microsoft have proposed the ARD protocol to help AI agents autonomously find the tools they need.
Details
A core challenge companies face when adopting Agentic AI is determining which tools an agent should use, where those tools are located, and how they can be used safely.
To address this, Google, Microsoft, Cisco, Nvidia, Salesforce, and others have proposed a new protocol called Agentic Resource Discovery (ARD). ARD aims to standardize how tools and services are shared within enterprise domains.
For example, when an agent investigates an operational issue, it may need to look up engineering documentation, support tickets, deployment history, observability systems, and more. Currently, these systems are scattered across different registries, lacking a unified layer. ARD is designed to serve as exactly this unified layer.
ARD operates at two levels.
- Catalogs: the layer where organizations publish their available Capabilities
- Registries: the layer that crawls published catalogs to function as a search engine
The ARD specification is now publicly available, and companies can use the guide to publish their own catalogs and participate in the community.
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