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

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

Newcase.ai - an AI litigation intelligence platform. Benchmarked against manual legal expert reviewers across 100,000+ ...

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, ...

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.

Autosana Inc., a startup building an agentic artificial intelligence platform for mobile and web app quality assurance, said ...

Artificial intelligence (AI) is the latest disruptor in technology space which is making huge impact in all industry sectors ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing. The integration of artificial ...

Spirent Luma uses a multi-agent architecture and deterministic rule sets to automate root cause analysis in multi-technology network environments.

I spent three weeks testing no-code AI app builders after watching demos that promised perfect apps from single sentences.

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

Healthcare is investing in AI. But most operating models haven’t changed Health systems have long had more manual work to do than staff to perform it. Now, these health systems are rapidly adopting AI ...