TL;DR AI risk doesn’t live in the model. It lives in the APIs behind it. Every AI interaction triggers a chain of API calls across your environment. Many of those APIs aren’t documented or tracked.

Every secure API draws a line between code and data. HTTP separates headers from bodies. SQL has prepared statements. Even email distinguishes the envelope from the message. The Model Context Protocol ...

Microsoft confirms Universal Print bug causing “Sharing Print Failed” error due to Graph API changes and Entra ID delays.

By combining the efficiency of a Mixture-of-Experts architecture with the openness of an Apache 2.0 license, OpenAI is ...

With video now a core business format, I would like to explain how you can structure video editing, publishing and moderation ...

PwC’s Global Risk Survey has repeatedly highlighted third-party risk and regulatory complexity as top concerns for executives ...

Hydreight (HYDTF) has transformed into a 50-state healthcare infrastructure company, rapidly scaling VSDHOne licenses to 11K+ ...

Octen, a startup with software that enables artificial intelligence agents to search the web, launched today with $10 million ...

As organizations increasingly prioritize connected systems and real-time intelligence, professionals like Geetha are helping ...

Learn how to build and deploy custom AI agents in minutes using no-code automation, voice commands, and API integrations.

Put simply: these agents can be created and accessed from ChatGPT, but users can also add them to third-party apps like Slack ...

In a complex therapeutic landscape, WuXi AppTec is simplifying the path from discovery to patient. Find out how.