Testing & Security

Internal research highlights that over half of modern mobile applications contain AI components that often remain invisible to traditional security scanning tools. This visibility gap represents a significant risk as organizations rapidly integrate Large Language Models and generative features into

The resilience of the cybercrime market is evidenced by the rapid emergence of new malware variants following major law enforcement takedown actions. As traditional phishing methods face increased friction from multi-factor authentication, adversaries have pivoted toward infostealer malware, which

The realization that a sandbox is no longer a guaranteed safe zone represents one of the most significant shifts in the philosophy of software quality assurance. In the high-stakes environment of large language model development, the traditional walls of isolation have often been treated as static

Specialized agents can now analyze the quality of business requirements to suggest missing details and identify high-risk areas before a single line of code is written. This proactive approach marks a significant departure from traditional software development cycles, where testing was often an

The research team works alongside Virginia’s Planning District Commissions and the Department of Health to ensure their digital tools meet the practical needs of public safety officials. This strategic partnership addresses the reality that modern utility management has shifted from manual valves

The integration of device compliance standards ensures that only hardware meeting specific security benchmarks can interact with protected corporate cloud environments. This fundamental shift marks the end of the traditional "castle-and-moat" security model, which has become functionally obsolete