insideHPC

Numenta Anomaly Benchmark Evaluates Anomaly Detection Techniques for Real-time, Streaming Data

Numenta, Inc., a leader in machine intelligence, launched the Numenta Anomaly Benchmark (NAB), an open-source benchmark and tool designed to help data researchers evaluate the effectiveness of ...
Nature

Intrusion Detection Systems and Anomaly Detection Techniques

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

AI can secure IoT devices without heavy computing power

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...
Visual Studio Magazine

Data Anomaly Detection Using a Neural Autoencoder with C#

Data anomaly detection is 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. There are many different types of ...
techtimes

Securing API Gateway with AI/Ml-Driven Anomaly Detection & Mitigation

Are you aware that your API gateway, a vital component of modern software architecture, is also one of the most vulnerable points in a network? Shockingly, a 2022 survey by Statista revealed that most ...
Security Boulevard

Anomaly Detection in Post-Quantum AI Orchestration Workflows

Discover how to secure AI orchestration workflows using post-quantum cryptography and AI-driven anomaly detection for Model Context Protocol (MCP) environments.
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
EurekAlert!

Chung-Ang University researchers review deep learning-based methods to detect time series data anomaly

Researchers analyze state-of-the-art approaches, limitations, and applications of deep learning-based anomaly detection in multivariate time series Monitoring financial security, industrial safety, ...
Finextra

Real-Time Fraud Detection with Generative AI: A New Era of Precision Anomaly Detection

In today’s digital world, fraud has become more complex, which means we need smarter ways to detect and prevent it. Generative AI helps with this by looking at large amounts of data in real-time, ...
Design News

How to Improve Anomaly Detection with AI

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 ...
Nature

Intrusion detection systems and anomaly detection techniques

Intrusion detection systems (IDS) and anomaly detection techniques are critical components of modern cybersecurity, enabling the identification of malicious activities and system irregularities in ...