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 ...

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 ...

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

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 ...

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 ...

DeviQA named a leader in G2’s Winter 2026 Testing and QA Providers category, based on verified customer reviews ...

AI-driven automation is becoming increasingly integrated into the world of software development: documentation generation, coding assistants, automated testing, and deployment orchestration, among ...

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 ...