Reducing Data Security Risks From Model Context Protocol

Reducing Data Security Risks from Model Context Protocol

The more trust we give AI, the more opportunity it has to go haywire.  As agents take center stage in enterprise conversations around AI adoption, so has the idea of connecting autonomous assistants to the core of a business. Last November, Anthropic introduced a way to do so with Model Context Protocol, otherwise known as MCP, an open source framework that allows for just that: Connecting agents to “the systems where data lives.” Since then, Op…

Precisely Accelerates Location-Aware AI with Model Context Protocol

Open the article to view the coverage from cioinfluence.com

How Model Context Protocol (MCP) Simplifies AI Workflows and Enhances Productivity

Imagine a world where your AI tools don’t just work for you but work with each other—seamlessly, intelligently, and without the frustration of endless custom integrations. This isn’t a distant dream; it’s the promise of the Model Context Protocol (MCP). In an era where fragmented systems often slow us down, MCP emerges as a fantastic […] The post How Model Context Protocol (MCP) Simplifies AI Workflows and Enhances Productivity appeared first on…

AI Agents vs. Chatbots: Understanding Agentic AI's Role in Healthcare

Chris Ingersoll, Healthcare Solutions Architect, SoundHound AI As buzz around conversational AI reached a fever pitch last year, a new term began gaining traction: “AI agents.” Over the past twelve months, Google searches for AI agents have increased nearly tenfold. While the category of “agentic AI” may seem to have appeared from nowhere, it has quickly become one of the most talked-about trends in tech. Yet, descriptions of agentic AI are stil…

Confluent Cloud boosts agentic AI with enhanced data & security

Confluent Cloud unveils new features blending real-time and historical data to enhance secure, intelligent AI agents and analytics for enterprises.