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

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 ...

When evaluating AI for testing, prioritize approaches that keep teams in control and maintain end-to-end testing connectivity ...

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 ...

Left unchecked, ‘generative AI in the software development process is going to produce worse outcomes from a software security perspective,’ says software security pioneer and Veracode Co-Founder ...

On a desert airstrip, swarms of autonomous drones rise into the sky — a glimpse of the Pentagon’s vision for future war. The Navy has even shown it can update combat software mid-deployment, ...

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 ...