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

Abstract: The safety and reliability of Automated Driving Systems (ADSs) must be validated prior to large-scale deployment. Among existing validation approaches, scenario-based testing has been ...

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

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.

Manufacturing data sits in silos across systems. Executives struggle to connect AI efforts to tangible returns. I see this ...

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, ...

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 ...

Modern production lines require seamless automation integration, traceable data, uncompromised measurement integrity, and high throughput. Hipot testing, crucial for verifying insulation strength and ...

Kristoffer and Isabel bring together research findings and real-world testing experience. This conversation digs into what it really means to trust AI, how teams approach automation today, and what ...