Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. By defining a set of normal user and ...

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions. Broadly speaking, a true anomaly is one that deviates from the ...

Network monitoring and anomaly detection constitute essential components of modern information systems, enabling the continuous surveillance of communication networks and the rapid identification of ...

NetQuest delivers hyperscale real-time network intelligence solutions that generate context-rich datasets optimized for AI-driven security and advanced analytics. Trusted by national defense agencies, ...

Rising cybersecurity threats, expanding digital footprints, and increasing reliance on AI-powered analytics are driving robust demand across the anomaly detection market, as enterprises prioritize ...

INFICON, a leading provider of manufacturing software and hardware solutions for the semiconductor and related industries, is proud to announce the release of the SmartFDC Machine Learning Anomaly ...

What is explainable AI (XAI)? What are some of the use cases for XAI? What are the technology requirements for implementing XAI? Anomaly detection is the process of identifying when something deviates ...

The goal of neural networking in cybersecurity is to be able to detect unusual behavior and patterns, especially within OT assets and networks. Detecting unusual behaviors often leads to the discovery ...

Opportunities, Architecture, and Challenges: A Systematic Review,” published in Account Audit, the authors argue that AI is expanding audit coverage and improving anomaly detection, while also ...

The US Army Analytics Group (AAG) provides analytical services for various organizational operations and functions, including cybersecurity. AAG signed a Cooperative Research and Development Agreement ...