SaaS teams face a constant challenge: how do you test fast enough to match weekly or daily releases without letting quality ...

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

Software development changed faster in the past three years than in the previous decade. Open a modern IDE and an AI assistant greets you before the first line of code appears ...

Explore how intelligent software testing strengthens safety, boosts performance, and supports innovation from mobile apps to autonomous systems across transportation, healthcare, and infrastructure ...

AUSTIN, Texas--(BUSINESS WIRE)--Tricentis, a global leader in continuous testing and quality engineering, has been named as a Representative Vendor in the February 2024 Gartner Market Guide for ...

SANTA ROSA, Calif.--(BUSINESS WIRE)-- Keysight Technologies, Inc. (KEYS) (NYSE: KEYS) announced that it has been recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for AI-Augmented Software ...

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 ...

As artificial intelligence, automation and machine learning rapidly transform software development, one question rises to the top for quality assurance professionals: What role will human testers play ...

NEW YORK--(BUSINESS WIRE)-- UiPath (PATH), a global leader in agentic automation, today announced its recognition as a Leader in the Gartner ® Magic Quadrant™ for AI-Augmented Software Testing Tools.

Poor software quality cost the U.S. economy an estimated $2.41 trillion annually in 2022, according to the Consortium for ...

Operational penetration testing is a process of simulating real-world attacks on OT systems to identify vulnerabilities before cybercriminals can exploit them, either physically or remotely. OT ...

AI can speed up testing, but if you trust it too much, you might ship bugs faster than ever — with no one clearly accountable.