Released late last year by AI firm Anthropic, model context protocol (MCP) is an open standard designed to standardize the way AI systems, particularly large language models (LLMs), integrate and ...

On Monday, a new Model Context Protocol security startup called Runlayer launched out of stealth with $11 million in seed funding from Khosla Ventures’ Keith Rabois and Felicis. It was created by ...

Most security programs still focus on human-driven activity, such as people logging in to SaaS apps, clicking through browser sessions and working on managed endpoints. Today, an increasing share of ...

AI agents can answer all your questions, right? However, when it comes to triggering a workflow, calling an API or fetching live context from a system of record, everything comes to a halt. You might ...

Why MCP is emerging as a practical tool layer for AI agents How C# developers can build and register MCP servers What it takes to manage MCP servers reliably at scale As the AI industry pushes beyond ...

AI agents are being sold as the solution for planning trips, answering business questions, and solving problems of all kinds, but getting them to work with tools and data outside their chat interfaces ...

As agent-based AI systems grow more sophisticated, developers are moving well beyond basic Retrieval-Augmented Generation (RAG) into a new era of autonomous, tool-integrated, and multi-agent ...

As more organizations configure MCP servers to support agent-to-agent communication, upfront strategy, nonfunctional requirements, and security non-negotiables will guide safer deployments. One of the ...

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 ...