Metafor Software

Metafor Software
Private Company
Industry Anomaly detection
Founded 2010
Headquarters Vancouver, BC, Canada
Key people
Website http://metaforsoftware.com

Metafor Software is an anomaly detection and predictive analytics company based in Vancouver, British Columbia. The company produces software for big data security analytics and IT Operations Analytics (ITOA). Using machine learning techniques inspired by how the human brain works, Metafor detects unexpected changes and behavioral anomalies in Machine-generated data, and sends alerts when systems start deviating from the observed norm.[1] Metafor uses unsupervised, non-parametric behavioral analytics to identify activity indicative of security threats and impending performance problems.[2] By quickly locating inconsistencies, Metafor can replace manual troubleshooting with automated diagnostics.[3] They are aiming to build a product that can not just alert about anomalies, but also help normalize them with a single mouse click. [4]

History

Metafor Software was founded in 2010 by Toufic Boubez and Jenny Yang. Toufic previously co-founded Layer 7 Technologies, which was acquired by CA Technologies in 2013.[5] In 2010 Metafor won the Generator Challenge - a competition created to recognize Vancouver's most promising early-stage technology companies and were awarded free workspace at the Discovery Parks campus.[6] Metafor Software was named to the 2013 ICT Emerging Rockets list as part of the Ready to Rocket recognition program.[7] In April 2013 Metafor started providing its software as a service (SaaS) based anomaly detection engine as a free Beta.[8] In 2014, Metafor was named Cool Vendor in Application Performance Monitoring (APM) and IT Operations Analytics (ITOA)î by analyst firm Gartner.[9] In June 2015, Metafor Software was acquired by Splunk.[10]

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This article is issued from Wikipedia - version of the Tuesday, November 17, 2015. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.