Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...

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

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.

Dr. James McCaffrey of Microsoft Research tackles 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. Data anomaly ...

The NDR market is expanding due to increased cloud, remote work, and IoT adoption, creating complex attack surfaces. Opportunities include AI-driven anomaly detection, integration with EDR, XDR, SIEM, ...

Ericsson and MasOrange teamed to deploy the Ericsson Intelligent Automation Platform (EIAP) in a bid to boost autonomous, intelligent networks with AI-enabled automation for improved performance.

Min Kyriannis, CEO of Amyna Systems, joins host Karla Jo Helms to expose the critical flaws in modern network security. From human error to incompatible legacy systems, Kyriannis reveals why current ...

The "Network Detection and Response (NDR) Market, 2024-2029" report has been added to ResearchAndMarkets.com's offering. The revenue estimate for 2024 is $2.61 billion, with a CAGR of 23.1% for the ...

Security advances push intrusion detection deeper into the network, relegating its role to forensics investigation and internal monitoring. Drowning in signature libraries and reactive event ...