What is Anomaly Detection?

Anomaly detection is a statistical and Machine Learning (ML) process that identifies data points, patterns, or events that deviate from an established notion of normal behavior in a dataset, system, or process. Expanded Explanation 1. Technical Function and Core Characteristics Anomaly detection uses statistical models, distance measures, density estimation, or ML algorithms to estimate normal behavior and flag deviations. It operates in supervised, semi-supervised, or unsupervised modes

How widely is Anomaly Detection used?

101 organizations in our directory are tagged Anomaly Detection, referenced across 23 articles and 1 open source project.

What is Anomaly Detection most closely associated with?

Anomaly Detection is most closely associated with Data Center and Network Operator.

Anomaly Detection

Last updated August 24, 2026

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What we add

Graph

A glossary entry defines a term and stops there. It doesn't show where the term is actually being used or written about. We track and link every article that covers it.

NewsArticle RADCOM Ltd. Says VNPT Selected RADCOM for Roaming Service Assurance BlogPosting Aviz Networks details Network Copilot for network operations BlogPosting Aviz Networks details Network Copilot for SD-WAN monitoring and 9 more on this page

Counted facts

A dictionary definition doesn't say how often a term is actually used. This counts it across the graph -- articles that mention it, open source projects tagged with it, and the organizations tagged with it, listed here alongside the count. A term has no peer companies, and nothing here claims otherwise.

Articles mentioning this entity 23 Open source projects 1 Organizations tagged 101 Organizations AccuKnox, Adlumin, Apvera, Aqua Security, Aruba Networking, Asimily, AUK Industries, BrainChip, B-Yond, Cervello, Cleafy, Cloud Storage Security, Cognetiq, Cognna, Cohesity, ConnX, Coralogix, Crate.io, Cyabra, CyberFlow Analytics Related terms Related terms (co-occurring topics)

The person who sent this agent gets an answer they can act on

Somebody dispatched this agent to evaluate Anomaly Detection for a real decision: a shortlist, a vendor comparison, a purchase. "Anomaly Detection makes X" isn't something they can act on; they need to know the claim is real and where it came from. Follow one enriched link from Act 2 and see what the agent can actually hand back to them:

The record DefinedTerm Anomaly Detection
One of its 12 linked records NewsArticle RADCOM Ltd. Says VNPT Selected RADCOM for Roaming Service Assurance https://decisioninsights.ai/radcom-ltd.-says-vnpt-selected-radcom-for-roaming-service-assurance/
The primary source CreativeWork prnewswire.com https://www.prnewswire.com/news-releases/vnpt-selects-radcom-for-ai-native-cloud-native-service-assurance-in-vietnam-302873495.html

Our summary is written by Decision Insights Record. The source keeps its own byline. Both are in the JSON.