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Katalon Named a G2 Leader for Both Mid-Market and Enterprise in Test Automation

Most test automation tools are sized for one kind of team. The ones a lean QA group can adopt inside a quarter tend to buckle when a compliance officer asks who approved a change and when. The ones large enterprises standardize on often need a dedicated platform team before anyone writes a single test. Anyone who has evaluated tooling knows the feeling of reading a glowing review and realizing it was written by someone at a company nothing like theirs.

Optimizing Industrial PSA Gas Separation Systems: Process Automation, Control Architectures, and Molecular Sieve Selection

Industrial Pressure Swing Adsorption (PSA) systems represent a cornerstone of modern gas separation engineering. They allow plants to isolate high-purity industrial gases without the extreme energy overhead of cryogenic distillation. The physical architecture of a standard twin-bed PSA unit relies on alternating adsorption and desorption cycles. While Bed A operates at elevated pressure to capture target adsorbates, Bed B depressurizes to release trapped gas species and regenerate the adsorbent media.

Test Automation Roi: Formula, Examples & Benchmarks (2026)

Your team automated hundreds of test cases. Leadership wants to know if it was worth it. Most engineering teams can’t give them a number. That’s what gets automation budgets cut. Proving test automation ROI means translating testing activity into financial terms: hours saved, defects prevented before they cost 5-10x more to fix in production, and release cycles shortened enough to matter on a balance sheet. The formula exists. The benchmarks exist.

The Best Tier 1 SOC Automation Tools in 2026

Tier 1 SOC is alert triage, enrichment, initial investigation, and escalation. Most of this work is repetitive and hard to scale, and legacy options for automating it (e.g., SOAR) can't keep pace with modern workloads because they're engineering-led, not analyst-led or browser-based (where the actual work happens). The tools below automate tier 1 work, and all of them use AI in some way. They range from AI SOC analysts that investigate alerts the way a human would to automation platforms with AI layered on top, plus AI built into platforms you may already run.

7 Questions to Ask Before Choosing an Automated Web Testing Tool

Choosing an automated web testing tool can feel straightforward at first: compare the features, check the pricing, start a trial. But the tool your team chooses can shape how quickly you release, how confidently you catch bugs, and how much testing work your team can realistically maintain over time. To help teams ask better questions before choosing a platform, we spoke with Amber Leno, Ghost Inspector’s revenue manager.

Beyond Brittle Code: Scaling Enterprise QA with Machine Learning in Test Automation

As product delivery cadences shrink, traditional quality assurance approaches are reaching operational constraints. Traditional scripted test scripts, albeit a tried-and-true method in the past, can no longer keep up with the onslaught of dynamic code changes, changing microfrontends, and CI pipelines. In many cases, just changing a label or making a small modification to a layout may break whole integration suites and create huge backlogs.

Why your automated UI tests keep breaking

Automated test suites tend to follow the same arc. The suite works well until the application changes and a block of tests fails. Someone fixes them. The application changes again. At some point, the work of keeping tests current starts consuming the time that should go toward coverage decisions, risk assessment, and the testing work that requires human judgment.

Automated testing vs. autonomous testing

Autonomous testing is one of the most talked about developments in software quality right now. It shows up in analyst reports, vendor pitches, conference talks, and job descriptions – often in the same breath as automated testing. Most of those conversations treat the two as interchangeable, or worse, position autonomous testing as simply a smarter, more advanced version of what teams already do.

Four signs your automation suite is costing you more than it's saving

An automation suite that’s losing ground rarely makes it obvious. Coverage numbers look reasonable. Tests are running. The CI pipeline is green more often than not. Meanwhile, the team is quietly working around what isn’t working – rerunning tests until they pass, deferring maintenance, or accepting a regression window that’s wider than it should be. Those workarounds can feel normal. They aren’t.