AI can speed up testing, but if you trust it too much, you might ship bugs faster than ever — with no one clearly accountable.

The most successful organizations will be the ones that adopt AI best by embedding governance into every stage and ...

Nearly two-thirds of companies fail to vet the security implications of AI tools before deploying them. Stressing security fundamentals from the outset can cut down the risks. In their race to achieve ...

As artificial intelligence, automation and machine learning rapidly transform software development, one question rises to the top for quality assurance professionals: What role will human testers play ...

Identify sources of unnecessary cognitive load and apply strategies to focus on meaningful analysis and exploration.

In healthcare software, quality is inseparable from compliance. A feature working as designed is not enough. Every workflow, integration, and data exchange must protect Protected...Read More The post ...