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
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
Automated Rules Engine
Global Intelligence Network
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.
Prevent attackers from creating armies of fake accounts, before they do any damage.
Detect when good users’ accounts have been compromised before attackers can use them to commit fraud or abuse.
Spam and Fake Reviews
Maintain trust in your platform by preventing malicious users from sending spam or creating fake reviews.
Stop bad actors from exploiting new user promotions, virtual currency arbitrage, out-of-policy virtual goods transfers and more.
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.
Catch fraudulent applications created with stolen or synthetic identity information in real time.
DataVisor helps financial institutions increase money laundering detection coverage while simultaneously reducing false positives.