Category: Technical Posts

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4 E-Commerce Companies Waged War with Fraudsters: Here’s What Happened

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Linkage Analysis: How to Investigate Fraud Cases Beyond Table View

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Exploring the CARTA Approach to Fraud and Risk Management

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How to make your rules engine more powerful by using advanced features

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Defeat Fraud: How to Deliver Continuous Protection Across the Entire Customer Lifecycle

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When Rules No Longer Apply: A Look at Fraud Detection in the Age of COVID-19

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Top 2 Challenges for Adoption of AI Fraud Detection Technology

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How to Deliver Continuous Protection Across the Entire Customer Lifecycle

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How One Airline Prevented Fraud from Taking Flight: An Interview with DataVisor’s Randall Maddern

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A Guide to Model Governance for Financial Institutions: Q&A with Kaila Cappello

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How Much Can Application Fraud Cost Banks? And a Bonus Downloadable ROI Calculator!

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Technical Posts

Creating a Data-Centric Organization

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Technical Posts

Quantifying Cluster Quality with Unsupervised Machine Learning

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Quick Takes

Fraud Modeling with Automation, Complete Control, and Domain Expertise

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Defeat Fraud with a Comprehensive AI-powered Solution

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Technical Posts

SR 11-7 Compliance: 3 Core Elements for Model Validation

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Technical Posts

Managing Thousands of Spark Workers in the Cloud: DataVisor Presents at SAIS 2018

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Technical Posts

Fighting Fraudsters Among Billions of Users: DataVisor Presents at SAIS 2018

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Technical Posts

Guest Post: AML Data Quality – The Challenge of Fitting a Square Peg into a Round Hole

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Technical Posts

Introducing the DataVisor Online Fraud Report

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Technical Posts

Guest Post: The Other Elephant in the Room: Defeating False Negatives in AML Systems

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Technical Posts

Guest Post: End the False Positive Alerts Plague in Anti-Money Laundering (AML) Systems

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Technical Posts

Twitter Bots: These are the Droids You’re Looking For

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