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.

That’s according to recent reports from SentinelOne and Fortinet. Meanwhile, AI speeds up attacks, automating exploits and creating deepfakes that hit faster than ever. You deal with prompt injection ...

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

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

Compare the best DAST tools in 2026. Our buyer's guide covers 10 dynamic application security testing solutions, key features ...

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

I'd like to welcome you to IBM's First Quarter 2026 Earnings Presentation. I'm Olympia McNerney, and I'm here today with Arvind Krishna, IBM's Chairman, President and Chief Executive Officer; and Jim ...

As technology and regulations evolve, enterprises need to address data governance throughout pipelines, models, and AI agents ...

Ladies and gentlemen, good day, and welcome to HDFC Bank Limited Q4 and Full Year FY 2026 Earnings Conference Call on the financial results presented by the management of HDFC Bank. [Operator ...

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 ...

VentureBeat research finds 72% of enterprises are running multiple "primary" AI platforms with no clear owner — creating ...

As enterprises race to deploy autonomous AI agents, a growing concern has emerged around what these agents are permitted to ...