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.

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

SAN FRANCISCO, April 8, 2026 /PRNewswire/ -- KushoAI, an AI-native platform for API testing and software reliability, has introduced APIEval-20, an open benchmark designed to evaluate how effectively ...

Digital transformation is shifting organizations to modern platforms and continuous delivery. Releases are frequent, and reliability still matters. When quality is treated as a final gate, regressions ...

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

Google unveiled Deep Research and Deep Research Max, new Gemini 3.1 Pro-powered AI agents that combine web search, ...

Antigravity Mission Control paired with Arcade.dev MCP runtime forms an autonomous AI engineering team that can execute tasks ...

The first component is the Market Data Gateway (or API Wrapper). This layer creates a persistent connection to the exchange's servers, translating raw 'JSON' or 'FIX' messages into clean Python data ...

The timing is off, and it seems to be getting worse. Traditional application security pipelines were designed way back in the days when only humans wrote ...

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