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Datavisor

Is the leading fraud and financial crime detection service utilizing unsupervised machine learning to identify attack campaigns before they conduct any damage. Datavisor was founded in 2013 and protects some of the largest organizations in the world.

HQ: Mountain View, CA, United States

Founded: 2013

Fraud Solution Profile

The Datavisor User Analytics Platform™ is an end-to-end solution with the most comprehensive technologies for detecting individual and widely distributed attacks across a variety of use cases – including Fraud, abuse, money laundering and more. Through analyzing billions of pieces of user attribute data and transaction data, the platform lets you know everything about your users, good and bad, from cradle to grave.

Anchored by the patent-pending Unsupervised Machine Learning Engine, Datavisor’s platform includes a suite of additional detection analytics including Supervised Machine Learning, Automated Rules Engine and the Global Intelligence Network. The detection results from the unsupervised engine serve to make each other analytic more effective by updating them with real time signals, helping you have the highest detection results, the most current rules and the most comprehensive forensic information about adversaries on your platform.

The entire platform consists of:

Datavisor Unsupervised Machine Learning(UML) Engine

  • We correlate user and event attributes across all users to identify unknown threats by linking bad actors together into malicious campaigns. By looking at all event types at all times, our unsupervised algorithm also detects networks of malicious accounts early before they conduct any damage.

Datavisor Supervised Machine Learning (SML) Engine

  • Using detection results discovered by the UML engine as well as client-provided labels, Datavisor’s SML Engine provides superior detection of known attack types from non-coordinated attackers.

Datavisor Automated Rules Engine

  • We generate rules automatically on a daily basis from attributes provided by unsupervised machine learning to reduce manual rule tuning time and provide human-understandable definitions to better understand our machine-learning detection results.

Datavisor Global Intelligence Network

  • We aggregate and anonymize from over 1.3 billion users across a variety of verticals the broadest array of telemetry signals, such as IP addresses, user agent strings, email domains, device types, etc.
Customers

Yelp
Pinterest
Momo
IGG
Alibaba Group

Industry
Ecommerce, Financial Services
Primary Functionality
Fraud Platform
Fraud Type
Account Takeover, Content Abuse, KYC & AML, Loyalty or Promo Abuse, New Account Fraud, Payment Fraud
Technology
Machine Learning, Rules Engine