A brief on how to ensure agentic AI systems remain understandable, accountable, and aligned with the people they serve.

AI adoption inside enterprises has exploded, and with it comes shadow AI tool sprawl. Different tools solve different parts ...

Overview:  Python MCP Servers make it easy to connect Large Language Models (LLMs) securely with real-world data and ...

The iconic Java framework has evolved and modernized, integrating a host of new features without sacrificing power or ...

Snowflake also announced a suite of enhanced AI-native and collaboration tools enabling developers to build, test, and deploy enterprise-ready AI apps faster and safer while reducing overhead and ...

In a world where AI detection systems threaten to flag every piece of machine-assisted writing, Rephrasy.ai has emerged as ...

Self-hosting your own services may seem like a chore, but it’s worth the hassle when cloud platforms and online applications ...

Identity solutions provider GBG has launched a module for its GBG Go platform that lets businesses accept many types of digital IDs through one connection. The goal is straightforward: reduce the ...

Go beyond dashboards. Use platform APIs to access deeper data, connect insights, and automate workflows that reveal new ...

With x402, an AI agent can discover a resource on the open web, receive a price quote via 402, pay for it and get access ...

Blast API shuts down as Alchemy steps in, forcing developers to rethink infrastructure and diversify RPC providers across ...

Decide between three patterns – streamed desktops (VDI/DaaS), per‑app access via ZTNA and application proxies, and local ...