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 ...

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 ...
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 ...
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 ...
PC Magazine

anomaly detection

(1) An approach to intrusion detection that establishes a baseline model of behavior for users and components in a computer system or network. Deviations from the baseline cause alerts that direct the ...
TechCrunch

Financial firms should leverage machine learning to make anomaly detection easier

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 ...
Psychology Today

Anomaly Detection: The Art of Noticing the Unexpected

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 ...