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

Sauce Labs says its approach to testing, based on business intent, can help enterprises break the logjam caused by the need for quality assurance in software development ...

SmartBear, helping teams build, test, and ship quality software at AI speed and scale, today released a survey that finds 70% of software experts say application quality has already degraded as AI ...

Part of the company’s qTest product, Agentic Test Creation works with test engineers to help them author in-context tests. It allows them to write natural-language tests, providing them with reusable ...

The new Sauce AI for Test Authoring launch targets the most labor-intensive slice of the 22% of IT budgets spent on quality ...

ServiceNow's AI tools, developed internally under Kellie Romack, aim to boost IT services. The company noted more than 240 AI ...

The Arcane Security acquisition strengthens SafeHill SecureIQ™ with AI-driven code analysis and continuous application ...

The first is the convergence of software and data engineering disciplines. The second is the rise of generative AI, which is accelerating both technical and organizational change. The Convergence Of ...

Interview: As software grows more distributed and AI accelerates code creation, Umasankar Mukkara explains why resilience testing is becoming central to modern software quality.

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 ...

Cadence, Dassault Systèmes, Siemens and Synopsys are building NVIDIA-powered AI agents to plan, optimize and verify complex chip and system workflows.