Learn how connecting, contextualizing, and acting on test data lets AI build software that reflects real business behavior.

A modern application is rarely just an application anymore. It''s a web front end, a mobile client, a set of APIs, cloud ...

A quick glance at the new 2027 Kia Seltos suggests a successful redesign—this second-generation model looks so much better than before. It mostly feels that way, too, delivering quality and refinement ...

With the growing prevalence of artificial intelligence (AI), demand increases for hardware that mimics the brain’s ability to ...

BACKGROUND: Although the effectiveness of Lp(a) (lipoprotein[a])–lowering therapies remains under study, lipid guidelines now ...

Security testing is often treated as a point-in-time activity. A team runs a penetration test, fixes the findings, and moves on. That approach helps, but it does not stop the same weakness from ...

Every IT team knows the feeling: A project is on track, and then testing becomes the wall everything stacks up against. Slow cycles, fragmented tools, and manual validation are some of the most ...

AI agents are being connected to real systems faster than most organizations are learning how to secure them. That should concern us. The first wave of AI security discussion has been useful, but ...

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OXFORD, England--(BUSINESS WIRE)--Diffblue today announced the general availability of the Diffblue Testing Agent, an autonomous regression test generator that works with an enterprise’s existing AI ...

Teams today are under relentless pressure to deliver faster releases, but speed often comes at a cost. AI-driven test generation promises a shortcut. Complex, meaningful test cases are generated in ...

In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...