Global Anomaly Detection Market Poised for Strong Growth as AI-Driven Security Demands and Enterprise Automation Accelerate: Verified Market Research®

Rising cybersecurity threats, expanding digital footprints, and increasing reliance on AI-powered analytics are driving robust demand across the anomaly detection market, as enterprises prioritize ...
Verdict on MSN

Commvault, CloudSEK partner to tackle exposed credentials on dark web

CloudSEK’s dark web credential intelligence will be integrated with Commvault’s Active Directory security and anomaly ...

digna Introduces Major Platform Update Enhancing Enterprise Data Quality and Observability

March 2, 2026) - digna has published its latest platform update, continuing the development of its data quality and observability platform, and reinforcing its architectural focus on adaptive anomaly ...
TMCnet

Identity-Based Attacks Are Now Targeting Backup Policies. New Anomaly Detection Feature from N-able Closes That Window

(NYSE: NABL), a global cybersecurity company delivering business resilience, today expanded its Anomaly Detection capabilities in Cove Data Protection to combat the surge in identity-driven ...

N-able (NABL) Expands Anomaly Detection Capabilities For Cove Data

N-able, Inc. (NYSE:NABL) is one of the Best 52-Week Low Penny Stocks to Invest In. On February 26, N-able, Inc. (NYSE:NABL) ...
Tech Xplore

Novel framework for unsupervised point cloud anomaly localization developed

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for ...
The Fast Mode

Elisa Industriq’s Polystar Introduces Agentic AI and Automated Anomaly Detection

Polystar, part of Elisa Industriq, will introduce four new AI‑driven capabilities at Mobile World Congress 2026, further strengthening how telecom operators manage network complexity and service ...
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, ...