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

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 post Post-Quantum AI Infrastructure Security: Protecting MCP Deployments in 2026 appeared first on Read the Gopher Security's Quantum Safety Blog.

A survey by Akamai raises issues around API security and equates the issue with the rise of agentic AIs placing demand on API ...

As agentic AI moves from pilots to production, enterprises are discovering that the biggest gaps aren’t in the capabilities ...

Tech - Business teams no longer ask whether AI belongs in the workplace. In most organisations, that question has already ...

Intelligence without integrity is just sophisticated risk. To build AI that lasts, you have to apply zero-trust principles to your data pipelines and treat model endpoints like sensitive APIs.

Converting ZIP codes to latitude and longitude coordinates unlocks location functionality that ZIP code strings alone can't ...

The Chinese lab that shook Wall Street just dropped its biggest, most efficient model yet, hours after OpenAI launched ...

Anthropic dropped Claude Opus 4.7 on April 16, 2026, just days ago. A leak had the AI community buzzing for weeks beforehand. Now it's here, and it's their ...

The vulnerability, with a CVSS score of 9.8, relates to the software’s support for Model Context Protocol (MCP) servers, ...