William Liu is grateful that he finished high school when he did. If the latest AI tools had been around then, he told me, he might have been tempted to use them to do his homework. Liu, now a ...

The company, an Amazon subsidiary, has quietly been driving through Los Angeles for about a year, mapping streets with ...

Analytical AI ranks risk, flags anomalies and analyzes test failures for automation stability and defect triage, while GenAI ...

A new report dubbed "BrowserGate" warns that Microsoft's LinkedIn is using hidden JavaScript scripts on its website to scan ...

Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an ...

Abstract: Software testing automation is seeing fast evolution, propelled by innovative developments in artificial intelligence (AI), machine learning (ML), and cloud computing technologies. These ...

Overview AI testing tools now automate complex workflows, reducing manual effort and improving software reliability significantly.Companies increasingly adopt p ...

Overview Modern systems use self-directed agents to complete tasks based on overall goals, instead of following fixed rules. This makes operations more flexible ...

The Cobalt Platform also introduces compatibility with the Model Context Protocol (MCP), enabling AI assistants to securely interface with pentest data so security teams can query testing results, ...

Abstract: With the complexity of terminal device functions, traditional testing methods face significant challenges, including limited operational flexibility and a high dependence on manual ...

AI agents hold great promise. They can rapidly explore flows, generate test ideas and produce evidence. Unfortunately, speed is not the same as trust. But when an AI agent claims that all tests have ...