Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

HACKBOX.AI is built on a multi-agent collaborative architecture, designed to simulate attackers’ tactics and pathways. The system automates the entire testing lifecycle—from information gathering to ...

Generative AI automation targets coding, debugging, documentation, and testing workflows in SDLC processes SAN JOSE, ...

TestMu AI (formerly known as LambdaTest), the world's first full-stack Agentic Quality Engineering platform, today announced its inclusion in The Forrester Wave (TM): Autonomous Testing Platforms, Q4 ...

Offensive security has spent years caught between two extremes: deeply manual penetration tests that do not scale, and automated scanners that scale easily but surface volumes of low-confidence ...

AI-Driven AppDev Platforms Emerging Providers: GeneXus was the top Overall Leader, followed by Betty Blocks and Thinkwise.

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, ...

DELHI, IN / ACCESS Newswire / February 2, 2026 / Sauce Labs Inc., the leading provider of continuous software quality solutions, today announced the opening of its new office in Delhi, India. This ...

As AI technology and no-code automation tools continue to evolve, manual testing seems to be losing its edge. This perception may or may not align with reality, as multiple factors are impacting ...

In today's digital transformation era, integrating Artificial Intelligence (AI) and Robotic Process Automation (RPA) is rapidly reshaping enterprise workflows. From streamlining operations to ...

Harness Inc., a software delivery startup that provides artificial intelligence tools for developers to update and monitor applications, said today it’s launching a new tool to automate database ...

The Data Warehouse Automation Software Market is driven by the growing need to accelerate data integration, reduce manual development efforts, and improve data accuracy. Increasing adoption of ...