Imagine a world where your favorite tools and platforms work together seamlessly, powered by the intelligence of large language models (LLMs). No more clunky integrations, endless API documentation, ...

A quick hands-on proof of concept shows how Visual Studio's new custom-agent framework can be aimed at a real Blazor project, along with what else is new in the March update.

It finally knows what it's talking about ...

Model Context Protocol (MCP) is becoming the most common interface to connect AI applications to enterprise systems like Gmail, Google Drive, GitHub and Salesforce. The goal is to give AI and AI ...

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 The Model Context Protocol (MCP) has become ...

Bigger models aren’t driving the next wave of AI innovation. The real disruption is quieter: Standardization. Launched by Anthropic in November 2024, the Model Context Protocol (MCP) standardizes how ...

Model Context Protocol makes it far easier to integrate LLMs and your APIs. Let’s walk through how MCP clients and servers communicate, securely. Every new protocol introduces its own complexities.

MCP registries are emerging as the new integration catalog for AI agents. Building one for the enterprise requires semantic discovery, strong governance, and developer-friendly controls.

Model Context Protocol (MCP) allows AI agents and chatbots to connect to data sources, tools, and other services, but they pose significant risks for enterprises that roll them out without having ...

As enterprises rapidly adopt autonomous AI agents such as Claude Cowork, security teams are facing a new blind spot: unmanaged AI activity occurring directly on endpoints. Employees increasingly ...

The security risks MCP introduces into LLM environments are architectural, and not easily fixable researcher says at RSAC ...