Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI ...

Learn how to secure Model Context Protocol (mcp) deployments with post-quantum cryptographic agility and granular resource governance to prevent quantum threats.

WebMCP exposes structured website actions for AI agents. See how it works, why it matters, and how to test it in Chrome 146.

Central to Collate's new capabilities is the launch of AI Studio, which enables enterprises to build, deploy, customize, and tune AI agents to their unique data environments. AI Studio provides a ...

The module targets Claude Code, Claude Desktop, Cursor, Microsoft Visual Studio Code (VS Code) Continue, and Windsurf. It also harvests API keys for nine large language models (LLM) providers: ...

Human-agent collaboration is at the heart of the AI-first organization vision, combining human creativity with AI capabilities to boost business efficiency and productivity. As people work with AI ...

Anthropic’s one step closer to having an everything app. Anthropic’s one step closer to having an everything app. is a London-based reporter at The Verge covering all things AI and Senior Tarbell ...

From the Department of Bizarre Anomalies: Microsoft has suppressed an unexplained anomaly on its network that was routing traffic destined to example.com—a domain reserved for testing purposes—to a ...

The most popular trusted model context protocol (MCP) servers on the Web today contain severe cybersecurity vulnerabilities. The Internet of AI forming all around us is growing larger and more ...

Highlighting an example, the company said a BigQuery MCP server will allow an agent to interpret table schemas, run queries directly on enterprise data, and get insights without having to move data ...

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 ...

Today’s AI coding agents are impressive. They can generate complex multi-line blocks of code, refactor according to internal style, explain their reasoning in plain English, and more. However, AI ...