Intrusion Detection Systems (IDS) and anomaly detection techniques underpin modern cybersecurity by autonomously monitoring network activities and flagging deviations from normal behaviour. IDS are ...

In today’s increasingly complex software environments, the automatic detection and analysis of anomalies within system logs has become indispensable. Log anomaly detection encompasses a range of ...

TNO’s advanced detection, threat management, and orchestration expertise ensures that critical IT and OT have sufficient ...

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.

Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...

Ondas Holdings Inc. (Nasdaq:ONDS), a leading provider of private wireless data, drone and automated data solutions through its wholly owned subsidiaries, Ondas Networks Inc. and American Robotics, Inc ...

File management software maker Peer Software plans to launch Linux file server compatibility this summer, along with enhanced artificial intelligence/machine learning (AI/ML)-based file access anomaly ...

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...

I am the VP of Engineering at Apriorit, a software development company that provides engineering services globally to tech companies. Social media is an indispensable tool for businesses to engage ...

Bernice Asantewaa Kyere on modeling that immediately caught my attention. The paper titled “A Critical Examination of Transformational Leadership in Implementing Flipped Classrooms for Mathematics ...