Empower Credit Unions to Proactively Defeat Fraud

Learn how to stay ahead of fraudsters with DataVisor’s AI-Based fraud platform

www.datavisor.com

A large C2C marketplace improved operational efficiency by 20x

Recognized by Leading Vendors

About DataVisor

DataVisor is the leading fraud and risk management platform powered by transformational AI technology. Using proprietary machine learning algorithms, DataVisor restores trust in digital commerce by enabling organizations to proactively detect and act on fast-evolving fraud patterns, and prevent future attacks before they happen. Combining advanced analytics and an intelligence network of more than 4B global user accounts, DataVisor protects against financial losses and reputational damage across a variety of industries, including financial services, insurance, marketplaces, ecommerce, and internet platforms.

Why Our Customers Choose DataVisor

Detect more fraud

Capture new and fast-evolving fraud attacks that rules fail to catch. Stay ahead of fraudsters with machine learning.

Reduce customer friction

Onboard more members safely with accurate detection and extremely low false positives.

Take better and faster actions

Make contextual decisions with linkage analysis. Expedite reviews by taking bulk actions.

Get full transparency and control

Receive easy-to-understand reason codes. Have full control of your data, models, and decisions.

Global Payment Network

Top 10 Issuing Bank

Global Wire Transfer Provider

 Top 15 Credit Union

Top 15 Insurance Company

Leading Loan Provider

Reduce fraud loss and detect fast-evolving attacks

Boost customer conversions and reduce friction

Power up digital transformation with modern architecture

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"DataVisor challenges the orthodox approach to using ML for fraud detection, using Unsupervised Machine Learning to decrease time to value and improve the ability to detect emerging fraud trends."

"DataVisor provides a highly scalable application that analyzes all accounts, events, and transactions, including structured and unstructured data, simultaneously to create suspicious clusters of activity. "

Application Fraud  .  Transaction Fraud  .  Account Takeover  .  Anti-Money Laundering

Protect new account opening and transactions

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