AI can accelerate software testing, but without strong QA culture, clear ownership and maintainable test foundations, it only amplifies existing problems.

The entry of cloud technology in the software world has fundamentally changed how software is built, deployed, and scaled. Traditionally, applications were released only once or twice a year. Today, ...

Penetration testing is undergoing a structural shift. For years, automation meant running scanners faster or scripting repetitive tasks. Today, a new class of tools is emerging, agentic AI systems ...

Cybersecurity in 2026 looks very different from what it did only a few years ago. Attack surfaces are larger. Cloud environments are more complex. Applications update constantly. APIs, container ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

Agentic artificial intelligence is the new belle of the software ball. C-level executives want their companies to use AI agents to move faster, therefore driving vendors to deliver AI agent-driven ...

Allocating capital to autonomous security platforms outperforms traditional consultant-driven validation models.

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, ...

Brave has introduced a new AI browsing feature that leverages Leo, its privacy-respecting AI assistant, to perform automated tasks for the user. Intended to assist with tasks such as autonomous web ...

Traditional software testing can't catch AI's unpredictable failures. Here's why humans are non-negotiable.