Testing places unique demands on AI. Errors carry real business risk, and fragile tests or slow updates can quickly erode trust in results. As a result, while momentum around AI in testing is strong, ...

Combine AI-generated tests with intelligent test selection to manage large regression suites and speed up feedback ...

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, ...

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 ...

Software quality assurance is facing a growing efficiency crisis. Traditional automation frameworks often collapse under constant maintenance and are plagued by test failures that delay critical ...

Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine the innovative and clever use of ...

Hackers are using artificial intelligence to work faster and more efficiently. Ongoing pen testing enables small businesses, such as defense contractors, to remediate vulnerabilities proactively.

With the endless AI buzz dominating every technology headline and press release, it’s easy to forget the origins of “computer intelligence”; namely the likes of expert systems, macros and the “A” word ...