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

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, ...

Anthropic's latest AI model has found more than 500 previously unknown high-severity security flaws in open-source libraries with little to no prompting, the company shared first with Axios. Why it ...

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

Anthropic has published research on an AI-driven system called Co-RedTeam, built to discover and exploit software security flaws through coordinated large language model agents. The tool represents a ...

Worldwide engineering teams support AI development services, SaaS product development, and enterprise software ...

How real is the AI threat to software companies? CNBC put it to the test by vibe-coding a Monday.com replacement.

The cost of not upping software quality assurance will be evident not only in the marketplace but on a company’s bottom line and in the lives of people.

In healthcare software, quality is inseparable from compliance. A feature working as designed is not enough. Every workflow, integration, and data exchange must protect Protected...Read More The post ...

When LambdaTest was founded, the problem it set out to solve was far more contained but with the rise of AI-generated code ...