How Graph Databases Stop E-commerce Fraud in Real Time
By Bryce Merkl Sasaki
January 25, 2016|
Reading time: 3 minutes
As our lives become increasingly digital, a growing number of financial transactions are conducted online. Fraudsters have been quick to adapt to this trend, and to devise clever ways to defraud online payment systems. While this type of activity can… Read more →
Keywords: credit card number • e-Commerce Fraud • fraud detection • fraud patterns • fraud ring • fraud scenario • graph database • ip address • online payment systems • synthetic identities
Why Modern Fraud Detection Needs Graph Database Technology
By Bryce Merkl Sasaki
January 4, 2016|
Reading time: 3 minutes
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… Read more →
Keywords: bank fraud • Connected Data • data analysis • e-Commerce Fraud • fraud detection • fraud prevention • fraud ring • graph database • Insurance Fraud • real-time fraud detection
Graph Databases in the Enterprise: Fraud Detection
By Bryce Merkl Sasaki
September 21, 2015|
Reading time: 4 minutes
Banks and insurance companies lose billions of dollars every year to fraud. Traditional methods of fraud detection fail to minimize these losses since they perform discrete analyses that are susceptible to false positives (and false negatives). Knowing this, increasingly sophisticated… Read more →
Keywords: banks • e-Commerce Fraud • fraud detection • fraud ring • Graph Databases • insurance company • link analysis • online payment systems • synthetic identities • use case
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