Additional Info

CompanyDataVisor
Websitehttps://www.datavisor.com
Company size (employees)100 to 499

Overview

-Silicon Valley Business Journal 2018 C-Suite Awards (to Yinglian Xie, CEO and co-Founder)
-TiE Silicon Valley 2018 TiE50 Top Startup Award
-MEDICI Top 21 2018 Americas RegTech Awards Winner Award
-Wall Street Journal Top 25 Tech Companies to Watch
-Frost & Sullivan 2017 Global Fraud Detection Technology Innovation Award
-9th Fintech and Payment Innovation 2017 conference “Outstanding Anti-Fraud Technology Award”
-9th Fintech and Payment Innovation 2017 conference “Artificial Intelligence Innovative Leader Award”
-2017 China Finance Summit Winter Forum “Most Growth Potential” award
-Forbes “Top 25 Machine Learning Startups to Watch in 2018”

How we are different

-DataVisor detect new attacks, catches incubating attacks, and discovers correlated attack patterns. Other competitive technologies cannot deliver across all three types of attacks and attack patterns. The DataVisor Unsupervised Machine Learning (UML) Engine processes all events and account activities simultaneously, to analyze patterns across hundreds of millions of accounts. This allows DataVisor to detect suspicious connections between malicious accounts – even when those accounts are incubating, mimicking legitimate user activities, or changing attack techniques. It also allows the UML Engine to detect all the members of an attack ring at once, ensuring the attack is fully stopped.


-DataVisor utilizes Big Data Architecture for computation, data access and storage. The DataVisor Platform, is built on the latest big data infrastructure stack, from computation to data access and storage, used by companies like Google and Facebook. Apache Spark, HDFS, Hadoop, Apache HBase and Elasticsearch are all being used to support the system in different capacities.


-DataVisor maintains a Global Intelligence Network across the widest set of digital data. The DataVisor Global Intelligence Network leverages patented and proprietary Unsupervised Machine Learning for real-time, comprehensive digital intelligence based on the industry’s widest set of digital data, including IP addresses, geographic location, email domains, mobile device types, operating system, browser agents, phone prefixes, and more.