Fully automated testing is being replaced with a hybrid model, as "elite human expertise remains foundational".

How AI-powered test automation is reshaping software testing, from smarter regression suites to quality intelligence that ...

As new cloud, API, identity and application environments evolve at a rapid pace, continuous security testing is becoming a ...

Companies are still experimenting with automated AI systems to find security weaknesses, but fewer are relying on the ...

Cobalt study finds 20-percentage-point drop in number of organizations relying solely on AI automation for testing ...

Cobalt, the pioneer in pentesting as a service (PTaaS) and a leader in continuous offensive security services, today ...

Telecom testing is undergoing a fundamental shift as AI and complex network environments challenge traditional methods of ...

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

Quality Assurance (QA) models built for slower release cycles are struggling to keep pace with modern enterprise systems ...

With these AI enhancements, Fortest strengthens its position as a scalable, enterprise-ready regression testing platform built to support continuous innovation in complex ERP ecosystems.

The automation waves of the past rewarded companies with the best systems, not the most robots, and AI will be no different.

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 ...