The software development process has witnessed a paradigm shift in the last few years. Agile delivery is now a basic expectation of business, and incremental marketable functionality is a norm. In ...

Eoin Keary Founder & CEO of Edgescan, an enterprise CTEM (Continuous Testing and Exposure Management platform) used by Fortune 500's. On the ever-evolving treadmill of cybersecurity, organizations ...

Continuous testing is both a practice and a mindset. Developers and quality assurance specialists initiate the practice of continuous testing in the devops CI/CD ...

Adeeb Mahmood, head of cybersecurity, Evinova and Shahar Peled, CEO and cofounder, Terra Security Continuous penetration testing is reshaping how organizations manage cyber risk in fast-moving cloud ...

The concept of Continuous Integration (CI) is a powerful tool in software development, and it’s not every day we get a look at how someone integrated automated hardware testing into their system.

Application testing isn't an optional process. Customers often have a choice of what application to use, and they'll make that choice quickly when confronted with software that's riddled with defects.

Organizations continue to modernize their software development and delivery practices to minimize the impact of business disruption and stay competitive. Many of them have adopted continuous ...

Times are changing fast. Take the automotive industry for example. Software has evolved far beyond infotainment, now controlling everything in the car, including braking and steering for the driver.

Continuous integration (CI), continuous testing (CT) and continuous delivery (CD) should go hand-in-hand, but CT is still missing from the CI/CD workflow in most organizations. As a result, software ...

Modern applications often rely on APIs and organizations need a reliable API testing framework suited to its tech stack, workflows and testing philosophy. Today's web and mobile software increasingly ...

Framework-agnostic and PII-free, Test Data Agent provisions realistic data and environments so enterprise teams can validate, and continuously improve, AI agents before production, including on SAP.