Prelert
Curated by SignalAnomaly detection for IT security & Operations
Overview
Prelert uses unsupervised machine learning algorithms to detect normal behavior patterns for hundreds of thousands of data points. Automated anomaly detection provides early detection of the suspicious behavior patterns that security analysts need to know about. Use cases include casual analysis & early problem detection in IT operations. Recently opened its API, allowing developers, cloud service providers and technology vendors to integrate is machine learning engine into their environments, and has started offering connectors to the most popular big data technologies such as Elasticsearch. Customers include Swisscom, World Bank Group, NASA, Bechtel, CA Technologies, AlertLogic and more.
Key facts
- Founded
- 2009
- Headquarters
- Framingham, United States
- Stage
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