Fraud Prevention with Neo4j: A 5-Minute Overview

Fraud is becoming increasingly difficult to discover and prevent as fraudsters are increasingly employing complex techniques and advanced technologies to perpetrate fraud. Who Are Today’s Fraudsters? Today, fraudsters are organized in groups, possess synthetic or manufactured identities – which in… Learn More →

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Detect & Investigate Financial Crime Patterns with Linkurious

Linkurious is a Bronze sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. Using Graphs to Fight Financial Crime Financial crime can take many forms: money laundering, terrorism funding, corruption, tax evasion, insurance… Learn More →

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Stop Fraud Rings in Their Tracks with Graph Databases [Infographic]

Fraud rings are big business. First-party bank fraud costs banks (and their customers) over $16 billion each year in the United States, and insurance fraud costs nearly $80 billion annually. And fraud rings organized around ecommerce fraud rack up nearly… Learn More →

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From the Neo4j Community: March 2016

Whew! With GraphConnect Europe now behind us, it’s time to look at all of the wonderful content published by the Neo4j community in the month of March before the Neo4j 3.0 announcement and Panama Papers coverage eclipsed everything else. If… Learn More →

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Catching Insurance Fraud Using Graph Database Technology

The impact of fraud on the insurance industry is estimated to be $80 billion annually in the US, a number that has been growing in recent years. From 2010 to 2012, questionable claims in the U.S. jumped 27 percent, to… Learn More →

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Why Modern Fraud Detection Needs Graph Database Technology

Banks and insurance companies lose billions of dollars every year to fraud. Traditional methods of fraud detection play an important role in minimizing these losses. However increasingly sophisticated fraudsters have developed a variety of ways to elude discovery – both… Learn More →

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