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 ...

Businesses and organizations are under heavier fire than usual from cyberattacks, with 57% of CIOs and CISOs reporting at least one significant cybersecurity incident at their companies. Whether the ...

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 ...

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 ...

Researchers in Morocco analyzed cybersecurity challenges in smart grids, highlighting AI-driven detection and defense strategies against threats like distributed denial-of-service, false data ...

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 ...

New research indicates that banks are increasingly relying on machine learning, advanced analytics, and data-driven systems to identify, assess, and mitigate risks ranging from credit defaults to ...

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

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 ...