Imagine you’ve trained or fine‑tuned a chatbot or an LLM, and it can chat comfortably without any serious hiccups. You feed it a prompt and it responds. However, it’s stuck in a bubble: It only knows ...

The Model Context Protocol (MCP) is redefining how artificial intelligence (AI) systems interact with external tools and services. By addressing the inherent limitations of large language models (LLMs ...

Making inherently probabilistic and isolated large language models (LLMs) work in a context-aware, deterministic way to take real-world decisions and actions has proven to be a hard problem. As we ...

The Model Context Protocol (MCP) changes this equation. Think of it as the "USB-C for AI." It's an open standard that allows ...

As organizations push AI systems into production, IT teams are asking how to make models more dependable, secure and useful in real-world workflows. One approach gaining traction is the Model Context ...

What if you could cut 90% of the tedious, manual work from your AI workflows? Imagine a world where repetitive tasks like model updates, parameter adjustments, and ...

Claude’s Model Context Protocol promises a new way to handle context across tools and systems. The goal is to improve how models understand and retain information. Testing focuses on real use cases ...

An interface between an AI language model and external sources such as a database. The Model Context Protocol server (MCP server) determines what the model can access. The MCP client, typically an AI ...

Varonis Systems, Inc. has announced the launch of the Varonis Model Context Protocol (MCP) Server, which enables users to access and manage the Varonis Data Security Platform through AI clients like ...

When your mcp client talks to a server—maybe a retail bot checking inventory levels—they usually do a "handshake" to agree on a secret key. If you use ML-KEM, that handshake stays safe even if a ...