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, ...

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 ...

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.

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 ...

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, ...

Model context protocol, popularly known as MCP, is the next big thing in this AI era. At a high level, the MCP servers allow you to connect your AI chatbot to any apps or services and provide more ...

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

Fingerprint, a leader in device intelligence for fraud prevention, today announced the launch of its Model Context Protocol (MCP) Server, the first open-source MCP implementation in the fraud ...