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Tag Publications: use case

Simplifying UBO identification and verification with graph visualization and analytics

Transparency is a critical asset in the fight against money laundering and other financial crimes. Client onboarding and KYC establish exactly who you are doing business with, reducing risk and making it harder for bad actors to conceal wrongdoing. Ultimate Beneficial Ownership (UBO) transparency is an essential tool to help accomplish these goals. Regulators know […]

3 types of fraud graph analytics can help defeat

Organizations across industries are adopting graph analytics to reinforce their anti-fraud programs. In this post, we examine three types of fraud graph analytics can help investigators combat: insurance fraud, credit card fraud, VAT fraud.

Stolen credit cards and fraud detection with Neo4j

Have you ever had your credit card stolen? It is not an uncommon situation. If it happens to you and you’re lucky, your bank will end up paying for the operations made with the credit card. But what happens behind the scene? Do criminals get caught? In this post, we see how graph technology like […]

E-commerce fraud detection with graph technology

E-commerce fraud is growing quickly, creating new challenges in terms of prevention and detection.  The key element in the fight against fraud is now to draw on the connections within the data collected about customers, transactions and behaviors, to uncover fraudulent behaviors. In this post, we tell you how to conduct e-commerce fraud detection faster […]