SardineAI Corp announced the release of a guide focused on risk problems data challenges and the role of data infrastructure in shaping fraud performance across modern risk operations environments.

Model-based systems engineering is quietly, but consistently, becoming an important part of the design, maintenance, and cybersecurity of the federal government’s most complex IT platforms. MBSE ...

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...

Today’s electronic systems are an increasingly complex combination of hardware and software components. They contain an ever-expanding range of functions, require more computing power, have to operate ...

Although digital engineering has been around for years, its use within the Pentagon has been limited. The T-7A Red Hawk is one of only a handful of programs described as “radically digital." (Boeing) ...

Risk models at Credit Suisse had flagged the dangers before their $5.5 billion Archegos loss. Silicon Valley Bank's risk metrics showed clear warnings before their collapse. In both cases, ...

System-level validation, when deployed early and continuously, functions not as a downstream quality checkpoint, but as an organizational mechanism for compressing schedule risk before capital and ...

Aerospace testing methods reveal hidden risks in complex systems, ensuring reliability in AI-driven designs under real-world ...