Google and Tech Giants Unite to Launch Agentic Resource Discovery for AI Agents

Google has announced the Agentic Resource Discovery Specification (ARDS), an open standard designed to help AI agents autonomously discover, interpret, and interact with resources across the web. This initiative is backed by leading technology partners including Microsoft, GitHub, Hugging Face, NVIDIA, Amazon, Cisco, Salesforce, and Snowflake, underscoring its importance as a foundational step toward interoperable agentic AI ecosystems.

The Agentic Resource Discovery Specification is a framework that defines how AI agents can locate and understand resources in a standardized way.

This marks a significant step in Google’s broader push toward agentic AI ecosystems, where autonomous agents can perform tasks like booking services, retrieving data, or integrating apps without constant user input.

ARDS in Detail 

The Agentic Resource Discovery Specification (ARDS) is Google’s new open standard that allows AI agents to automatically find, interpret, and use resources across the web. It’s part of Google’s broader push into agentic AI ecosystems, where agents act autonomously to perform tasks like booking services, retrieving data, or integrating apps.

The ADRS provides a structured framework for AI agents to:

• Identify and locate resources across diverse platforms.
• Interpret metadata to understand capabilities and constraints.
• Interact programmatically with services, APIs, and applications.
• Enable interoperability between agents and external systems.

Why It Matters

Traditional resource discovery is fragmented, requiring manual integration. ARDS addresses this by offering:

• Consistency: A common language for agents to interpret resources.
• Scalability: Agents can autonomously expand their capabilities.
• Efficiency: Reduces developer overhead in connecting services.
• Future‑proofing: Aligns with the rise of multimodal, autonomous AI systems.

Google’s Partners in ARDS Development

ARDS is not just a Google initiative — it is co‑developed and supported by major industry players:

Partner	Contribution	Impact
Microsoft	Co‑author of the specification	Standardizes discovery across ecosystems
GitHub	Integrated ARDS into Copilot Agent Finder	Real‑time tool discovery for developers
Hugging Face	Connected ARDS to its AI model hub	Expands agent access to thousands of models
NVIDIA	Hardware and cloud support	Scales agent workloads efficiently
Amazon	Infrastructure backing	Broadens adoption across cloud services
Cisco	Networking and security expertise	Ensures secure agent connections
Salesforce	Enterprise workflow integration	Embeds ARDS in business AI systems
Snowflake	Data trust and metadata layer	Enhances verification and reliability

The Agentic Resource Discovery specification is licensed under Apache 2.0 and is built upon the foundational AI Catalog data model. 

Google’s Vision

ARDS is part of Google’s broader agentic AI strategy, which includes Gemini‑powered agents and multimodal interfaces. By standardizing resource discovery, Google aims to make agents more reliable, transparent, and interoperable. This reduces friction between intent and execution, allowing users to move from “wanting” to “doing” instantly.

Conclusion

The Agentic Resource Discovery Specification represents a collaborative effort between Google and its partners to build the backbone of the agentic AI era. By enabling agents to autonomously discover and interact with resources, ARDS lays the groundwork for a future where AI systems act as proactive digital companions, seamlessly bridging users and services across industries.

Infosys Leads India’s Entry into Global AI Governance with HAIP Participation

Infosys has become the first Indian organization to participate in the Hiroshima AI Process (HAIP) Reporting Framework, marking a significant milestone in global AI governance.

The Hiroshima AI Process (HAIP) Reporting Framework is a G7-backed voluntary mechanism designed to promote transparency and accountability in how organizations develop and deploy advanced AI systems.  

Key Details 

• Participation: Infosys joined the HAIP Reporting Framework, which is aligned with the HAIP International Code of Conduct and supported by the OECD.
• Significance: This demonstrates Infosys’ leadership in promoting safe, secure, and trustworthy AI across governments, regulators, and enterprises worldwide.
• Context: The Hiroshima AI Process was launched at the G7 Hiroshima Summit in May 2023, focusing on opportunities and risks of generative AI. It led to the first international framework with guiding principles and a code of conduct for advanced AI systems.
• Infosys’ Role: Through its Responsible AI Office (part of Infosys Topaz), the company aims to translate global AI governance principles into enterprise-scale, real-world implementations across industries and geographies.

Why This Matters

• Global Trust: Infosys’ involvement signals India’s growing role in shaping international AI standards.
• Enterprise Impact: It positions Infosys as a trusted partner for organizations navigating AI adoption responsibly.
• Policy Influence: Participation in HAIP gives Infosys a voice in shaping how AI is governed globally, especially in balancing innovation with safety.

Launched in February 2025, building on the HAIP International Code of Conduct for Organizations Developing Advanced AI Systems, which was first introduced at the G7 Hiroshima Summit in 2023. HAIP encourages AI developers to disclose their risk‑mitigation practices, governance structures, and safety measures. This helps ensure AI systems are safe, secure, and trustworthy. 

The purpose of the HAIP Reporting Framework is that organizations can submit reports through a standardized framework hosted by the OECD, making practices more comparable and transparent across different companies.