The identity layer for AI agents is finally being built. What MCP, A2A and new research delivered since March, and what's ...

AI agents are approaching the kind of breakthrough moment that APIs had in the early 2010s. At that time, REST and JSON unlocked system-to-system integration at scale by simplifying what had been a ...

The Agent2Agent communication protocol simplifies the development of self-orchestrating agentic workflows. Start building them with the new A2A .NET SDK. As we continue to move away from using AI ...

Since its launch in November 2024, the Model Context Protocol (MCP) from Anthropic has gone viral, generating buzz as a simple, standardized way to connect language models with tools and data. Now, ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Interoperability among AI agents is slowly ...

Anthropic, Google, and others are developing better ways for agents to interact with our programs and each other, but there’s still more work to be done. A growing number of companies are launching AI ...

Familiar patterns—and familiar lessons—are emerging as enterprises get serious about agentic AI and Model Context Protocol and Agent2Agent implementations. The future of enterprise architecture is ...

Google’s recently released Agent2Agent protocol has emerged as a top contender to facilitate communication and collaboration between AI agents in models and enterprises. Microsoft this week adopted ...

Google's Agent-to-Agent (A2A) protocol, a new open standard for AI agent interoperability, is gaining attention now that companies have invested in a variety of AI agents. The A2A protocol provides a ...

Have you ever asked Alexa to remind you to send a WhatsApp message at a determined hour? And then you just wonder, ‘Why can’t Alexa just send the message herself? Or the incredible frustration when ...