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

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

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 ...

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 ...

AI-powered NDR improved security accuracy from 26% to 95%, reducing false positives and accelerating SOC threat response.

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 ...

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 ...

The production and operation of offshore oil wells present typical characteristics of strong coupling, high nonlinearity, obvious time-varying behavior, and high operational risks. The occurrence of ...

Scienaptic AI, a leading provider of AI-powered credit decisioning, announced today that Barksdale Federal Credit Union has selected its platform to enhance origination fraud and anomaly detection to ...

Unlike pattern-matching, which is about spotting connections and relationships, when we detect anomalies we are seeing disconnections—things that do not fit together. Anomalies get much less attention ...