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

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

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 ...

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 ...

Hyperspectral anomaly detection techniques represent a rapidly evolving area in remote sensing, combining advanced machine learning with signal processing to identify outlying elements in ...

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, ...

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, ...

A good way to see where this article is headed is to take a look at the screen shot of a demo program shown in Figure 1. The demo sets up a dummy dataset of six items: [ 5.1 3.5 1.4 0.2] [ 5.4 3.9 1.7 ...

Recent findings suggest that with more research, anomaly detection may be an option for general retinal disease screening and identification of novel presentations of common retinal diseases. Anomaly ...