Breaking up fraud rings with Neo4j

Data relationships are facing increasingly complex and difficult-to-detect vulnerabilities because those behind fraudulent activities are adopting sophisticated technologies, becoming a constant threat to companies and institutions, such as financial institutions, among others.

How to address this? With the help of Vinkos and Neo4j’s graph technology, recognized in the Gartner Magic Quadrant as a Visionary for Cloud Database Management Systems (DBMS), highlighting its ability to transform fraud detection and financial analytics.

Among the challenges to be addressed are credit card fraud, e-commerce fraud, credit issuance fraud, and insurance claims fraud, which involve thousands of transactional, account, and device connections that require analyzing large volumes of data to identify suspicious relationships between entities in real-time. We can find:

Challenges

Evolve at the same speed as criminal groups

Because these are increasingly complex, using stolen and synthetic identities that are difficult to detect.

Anticipate Fraud

SQL databases offer a single dimension in which key links between transactions, accounts, and users are lost.

Real-Time Visibility

Getting lost among millions of “common” transactions while fraud is occurring means unthinkingly facing threats and pursuing rather than preventing them.

Inflexible Data Structures

As part of a robust strategy, it is essential to implement scalable technologies that do not compromise data integrity or operational efficiency.

Solutions

Vinkos’ expertise and native Neo4j graph database technology offer comprehensive solutions for the most demanding data management and analytics needs.

“We found that Neo4j is literally hundreds of times faster than our previous MySQL solution, with queries requiring 10 to 100 times less code. Today, Neo4j provides eBay with functionality that was previously impossible”, eBay.

Just as eBay discovered that the impossible is possible, we can help you maintain your sense of wonder, stay one step ahead, and design a strategy that allows you to:

Detect suspicious transaction patterns in real time.
Uncover fraud rings through analysis of interconnected data (customers, transactions, and entities).
Implement a high-performance monitoring system.
Comply with financial authority regulations without impacting operations.
Instantly generate automated reports for audits.
Improve the accuracy of risk identification by eliminating false positives, allowing you to focus on real risks.
Add new rules to models in response to regulatory changes without having to redesign the system, saving time and resources and reducing operational risks.
Explore information more easily with GraphRAG for fraud detection in AI models.
Personalize the customer experience.

All in one platform.

From fighting financial fraud and cybercrime to optimizing global networks and driving innovative research, at Vinkos and Neo4j, we’re transforming industries and delivering the best recommendations.