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.
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 ...
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 ...
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.
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 ...
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 ...
AI agents are projected to revolutionize the AI online experience, performing tasks and chores we’ve asked them to do in the background while we’re doing something more productive or enjoyable.
In Part 1, we explored how the Model Context Protocol (MCP) is reshaping enterprise security by introducing dynamic, non-deterministic workflows. Unlike traditional APIs, built on predictable, ...
Hundreds of Model Context Protocol (MCP) servers used to link LLMs to third-party services, data sources, and tools include default configurations that could expose users to unauthorized OS command ...