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.

The design example shows OTA firmware update performed on a microcontroller using the "staging + copy" method.

A new Linux variant of the GoGra backdoor has been uncovered, marking a significant evolution in a cyber-espionage campaign linked to the state-backed Harvester group. The malware stands out for its ...

Cryptocurrencies and blockchain technologies are an important part of modern financial systems. Businesses around the world ...

Perfect Corp., the leading AI and AR beauty and fashion technology provider, proudly announces its partnership with Keensight ...

The shift to remote and hybrid work since the pandemic expanded global hiring and accelerated digital onboarding, increasing ...

Toxic combinations form when AI agents, integrations, or OAuth grants bridge SaaS apps into trust relationships no single ...

Explore the top 10 new and promising API testing tools in 2025-2026 that are transforming the testing landscape.

Google has introduced Deep Research and Deep Research Max, powered by Gemini 3.1 Pro, marking a step change in its autonomous ...

"Use Deep Research when you want speed and efficiency, and use Max when you want the highest quality context gathering and ...

Vercel breached after attacker compromised Context.ai, hijacked an employee's Google Workspace via OAuth, and accessed ...

This isn't about rejecting large models; it's about having the engineering discipline to use smaller, specialized models ...