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.

How Microsoft secures Dynamics 365 and Power Platform by removing credentials, reducing attack surfaces, and using platform ...

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

Traditional security setups focus on walls around your network. They block outsiders at the gate. But intelligent cloud apps run AI and ML ...

Which technologies, designs, standards, development approaches, and security practices are gaining momentum in multi-agent ...

Summary: Google rebranded and consolidated its AI platform at Cloud Next 2026, renaming Vertex AI to the Gemini Enterprise Agent Platform and absorbing Agentspace into a unified Gemini Enterprise ...

Teams can query workload identity data in plain language, investigate activity, and move faster without leaving the Aembit ...

At this time, I would like to welcome everyone to the Manhattan Associates First Quarter 2026 Earnings Conference Call. [Operator Instructions] And as a reminder, ladies and gentlemen, this call is ...

The organizations most likely to shape the enterprise AI era are those that can embed intelligence directly into operational ...

ZoomInfo reports that successful AI integration into GTM relies on a hierarchy of Context, Timing, Targeting, and Content, ...

Postman, a leading API platform, today announced a collaboration with Microsoft that expands AI model choice in Postman's Agent Mode, deepens integration across the Microsoft developer ecosystem ...