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Application Fraud
Spot bad credits, loans, and account creations early
ATO Prevention
Uncover account takeovers ahead of time
FinCrime and AML
Adapt to new money-laundering tactics and stay compliant
Promotions and Policy Abuse
Catapult growth with promotion strategies that reach the right hands
Account Onboarding
Safely onboard good customers without introducing additional layers of friction
ACH & Wire Fraud
Stop ACH, Wire, and, Real-Time Payment Fraud
Card Fraud
Protect credit, debit, and gift card payments
Check Fraud
Prevent first-party and third-party check fraud
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Banks
Fraud and AML/BSA compliance solutions for banks
Credit Unions
Fraud and AML/BSA compliance solutions for credit unions
Fintechs
Fraud and AML solutions for financial technology firms
Digital Payments
Fraud management for ecommerce and payments
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The Fraud Platform
Solutions
Account Onboarding
ACH & Wire Fraud
Application Fraud
ATO Prevention
Card Fraud
Check Fraud
FinCrime and AML
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Fintechs
Digital Payments
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LinkedIn
Unsupervised Machine Learning
TAG
Quick Takes
Beat Transaction Fraud with Proactive Detection
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Quick Takes
Unsupervised Machine Learning to Reduce False Positives in Fraud Detection
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Product Blogs
DataVisor Is Named a Cool Vendor by Gartner
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Technical Posts
Quantifying Cluster Quality with Unsupervised Machine Learning
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Product Blogs
Defeating Mass Registration with Unsupervised Machine Learning
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Quick Takes
Fraud Modeling with Automation, Complete Control, and Domain Expertise
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Product Blogs
How UML Detects Fraud and Abuse in the Digital Era: Yinglian Xie at the Microsoft Startup Showcase
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