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 ...
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 ...
Principal Developer Janmejaya Mishra explores how AI and machine learning are advancing predictive intelligence systems ...
The Register Explainer Networks have grown too sprawling, too layered, and too fast-moving for human operators to manage the old way. Manually watching dashboards, chasing alerts, and pushing fixes ...
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 US Army Analytics Group (AAG) provides analytical services for various organizational operations and functions, including cybersecurity. AAG signed a Cooperative Research and Development Agreement ...
The surge in sophisticated cyberattacks, insider threats, and digital fraud schemes is compelling organizations to deploy anomaly detection solutions capable of identifying subtle deviations across ...
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