Allocating capital to autonomous security platforms outperforms traditional consultant-driven validation models.

Testing places unique demands on AI. Errors carry real business risk, and fragile tests or slow updates can quickly erode trust in results. As a result, while momentum around AI in testing is strong, ...

When LambdaTest was founded, the problem it set out to solve was far more contained but with the rise of AI-generated code ...

Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

The cost of not upping software quality assurance will be evident not only in the marketplace but on a company’s bottom line and in the lives of people.

New upgrades enable QA teams to refine test cases conversationally and generate outputs aligned with organizational standards ...

Overview: AutoOps extends DevOps by embedding AI across coding, testing, deployment, monitoring, and optimization to create an AI-native software development li ...

A technology has been developed that uses robots rather than humans to evaluate the performance of newly developed catalysts. By operating 45 times faster than manual work while also improving ...

New upgrades enable QA teams to refine test cases conversationally and generate outputs aligned with organizational standardsNoida/ San Francisco, Feb. 17, 2026 (GLOBE NEWSWIRE) -- TestMu AI (Formerly ...