DataVisor UML Enterprise

The first production-grade unsupervised machine learning fraud detection solution

Find sophisticated bad actors with unparalleled accuracy

DataVisor UML Detection is the industry’s first production-grade UML unsupervised machine learning fraud detection solution that is capable of processing all events and account activities simultaneously to analyze the patterns across hundreds of millions of accounts to detect suspicious connections between malicious accounts.


Requires no labels or training data

Does not rely on known labels of past attacks and finds previously unknown and emerging attacks


Predicts attacks at early stages

Identifies incubating accounts days to months before they conduct fraudulent activities


Uncovers entire crime ring

Captures the whole crime ring at high precision by identifying the subtle correlations across accounts

Discover hidden connections across millions of accounts

Profile Information

Demographic information associated with an account, usually provided at the account application or user registration time. It may include income range, gender, and address.

Relationships Between Accounts

Interactions and relationships between different accounts, e.g. one account sending money to other accounts that are friends or contacts.

Content and Metadata

Text and pictures generated by an account, such as comments, profile photos, and phone call records.

Behaviours and Activities 

What the account has done and when. For example, payment events which include a timestamp, payment amount and method.

Origins and Digital Fingerprints

Information describing the access methods of an account, including its device types and version, browser information, IP.

Access all components of the DataVisor Platform

Unsupervised Machine Learning Engine

Predict new, unknown threats without labels or training data by analyzing hundreds of millions of accounts and events simultaneously using the industry’s most advanced unsupervised learning technology.

Supervised Machine Learning Engine

Use industry leading supervised machine learning algorithms to augment the unsupervised machine learning detection with client-provided labels.

Automated Rules Engine

Generate and deprecate rules automatically, lowering maintenance costs and improving results explainability.

Global Intelligence Network

Aggregate and analyze the industry’s broadest array of digital fingerprints and signals from billions of users across a variety of industries.

Provide full customization and unlimited use cases

DataVisor UML Detection provides full customization based on unique customer requirements to provide unparalleled accuracy in detecting bad actors across a complete set of use cases.

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Mass Registration

Prevent attackers from creating armies of fake accounts, before they do any damage.


Account Takeover

Detect when good users’ accounts have been compromised before attackers can use them to commit fraud or abuse.

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Spam and Fake Reviews

Maintain trust in your platform by preventing malicious users from sending spam or creating fake reviews.

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Promotion Abuse

Stop bad actors from exploiting new user promotions, virtual currency arbitrage, out-of-policy virtual goods transfers and more.

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Fraudulent Transactions

Reduce e-commerce fraud 30-50% above traditional fraud solutions by catching entire crime rings days before they attempt a fraudulent transaction.


App Install Fraud

Save millions in ad spending by automatically detecting fake installs even as attackers create fake users with real-looking user activity.


Application Fraud

Catch fraudulent applications created with stolen or synthetic identity information in real time.


Anti-Money Laundering

DataVisor helps financial institutions increase money laundering detection coverage while simultaneously reducing false positives.

Ready to Enhance your Detection with DataVisor?