In MCP, every request comes from a nonhuman identity: an agent, server or tool. These identities don't act under direct human oversight. They generate requests dynamically, chain operations and carry ...

In this article, we will explore the hot topic of securing AI-generated code and demonstrate a technical approach to shifting ...

Chatbots have been mere question-answering agents. Now, AI agents have been able to analyze data, make decisions automatically, and engage with real-world systems. For AI agents to be beneficial in a ...

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 ...

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, ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

The Model Context Protocol (MCP) is an open source framework that aims to provide a standard way for AI systems, like large language models (LLMs), to interact with other tools, computing services, ...

In the evolving blockchain environments, there is an increasing need for real-time intelligence, protected data access, and self-managed decision-making systems. There is a new design concept emerging ...