Top 10 Graph Database Use Cases: Fraud Detection
By Bryce Merkl Sasaki
January 18, 2021 < 1 min read
Discover how you can tap into the power of graph databases for fraud detection to catch criminals in real time.
Explore: banks • e-Commerce Fraud • Financial Services Company • fraud detection • fraud ring • Graph Databases • synthetic identities • use case
Financial Services & Neo4j: Fraud Detection
By Bryce Merkl Sasaki
June 19, 2017 5 mins read
Identifying and stopping fraudulent activity is harder than ever for financial services organizations. Standard anti-fraud technologies — such as a deviation from normal purchasing patterns — use discrete data. This is useful for catching individual criminals acting alone, but discrete… Read more →
Explore: Connected Data • cypher • Data Visualization • financial services • Fortune 500 • fraud detection • fraud ring • graph technology • Microsoft SQL Server • relational database
Why the Latest “Cash for Crash” Scandal Should Worry Us All
February 23, 2016
Explore: car insurance • cash for crash • Data Relationships • fraud detection • fraud ring • Gartner • graph database • Insurance Fraud • neo4j • relational database
How Graph Databases Stop E-commerce Fraud in Real Time
By Bryce Merkl Sasaki
January 25, 2016 3 mins read
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 →
Explore: credit card number • e-Commerce Fraud • fraud detection • fraud patterns • fraud ring • fraud scenario • graph database • ip address • online payment systems • synthetic identities
Catching Insurance Fraud Using Graph Database Technology
By Bryce Merkl Sasaki
January 18, 2016 4 mins read
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… Read more →
Explore: fraud detection • fraud ring • graph database • Insurance Fraud • Network Analysis • relational database • social network analysis • soft tissue injuries • whiplash
Improving First-Party Bank Fraud Detection with Graph Databases
By Bryce Merkl Sasaki
January 11, 2016 6 mins read
First-party bank fraud involves fraudsters who apply for credit cards, loans, overdrafts and unsecured banking credit lines, with no intention of paying them back. It is a serious problem for banking institutions. U.S. banks lose tens of billions of dollars… Read more →
Explore: bank fraud • cypher • first-party fraud • fraud detection • fraud prevention • fraud ring • graph database • graph traversal • link analysis • relational database
Why Modern Fraud Detection Needs Graph Database Technology
By Bryce Merkl Sasaki
January 4, 2016 3 mins read
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 →
Explore: bank fraud • Connected Data • data analysis • e-Commerce Fraud • fraud detection • fraud prevention • fraud ring • graph database • Insurance Fraud • real-time fraud detection