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

Evaluate the shift from "automate all" to "review all" by using AI agents for test plans while applying human-led ACE ...

Abstract: Traditional penetration testing methods are often time consuming , resource-intensive, and limited in scope, which can leave systems vulnerable to emerging cyber threats.As cyber risks ...

Abstract: Graphical User Interface (GUI) based testing is a commonly used practice in industry. Although valuable and, in many cases, necessary, it is associated with challenges such as high cost and ...

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 ...