CTI-REALM is Microsoft’s open-source benchmark that evaluates AI agents on real-world detection engineering. It measures whether an agent can take cyber threat intelligence (CTI) and produce validated ...

By welcoming AI-driven vendor platforms into their banks, small and midsize institutions are introducing risks that are poorly understood and potentially interrelated. Boards of directors need to ...

As AI systems grow more autonomous, observability becomes essential. Learn how visibility into AI behavior helps detect risk and strengthen secure development.

Background Individual screening for colorectal cancer (CRC) is typically performed through either direct clinical examination ...

Introduction People identified as higher risk by a machine learning algorithm (Future Innovations in Novel Detection of Atrial Fibrillation [FIND-AF]) are at increased risk of ...

SHREVEPORT, La. – Algorithms are like the weather. Everyone complains about them, but no one seems to know how it works, and they can affect your day. But unlike the weather, you can change your ...

Abstract: Community detection in social networks is a fundamental challenge in network science driven by the increasing complexity of online platforms. In a given network, a community is a group of ...

Abstract: High-quality community detection in complex networks typically relies on the similarity between nodes to select communities. However, when a node exhibits the same similarity with different ...

Meta plans to test out X’s algorithm for Community Notes to crowdsource fact-checks that will appear across Facebook, Instagram, and Threads. In a blog, Meta said the testing in the US would begin ...

Customs and Border Protection is continuing to work on developing algorithmic systems to conduct automated inspections of vehicles at the border, with the providers of these systems still in the ...