Neo4j
flow-image

Uncover Evolving Fraud Patterns With Graph Powered Solutions

Published by Neo4j

The Neo4j White Paper explores how AI-driven fraud detection is transforming IT and finance companies by leveraging graph database technology to combat evolving fraud patterns. With Generative AI increasing cyber risks, Neo4j enables companies to detect complex fraud schemes in real time, enhancing security and risk assessment. By integrating graph-based pattern matching, pathfinding, and machine learning, businesses can uncover hidden connections and improve fraud prevention. The paper highlights AWS integration, enabling scalable cloud-based fraud monitoring, reducing false positives, and strengthening financial security against advanced cyber threats.

Download Now

box-icon-download

Required fields*

Please agree to the conditions

By requesting this resource you agree to our terms of use. All data is protected by our Privacy Notice. If you have any further questions please email dataprotection@headleymedia.com.

Related Categories Augmented Reality (AR), Virtual Reality (VR), Visual Search, Image Processing, Threat detection, Intrusion prevention, Security Analytics, Data encryption, Identity management

More resources from Neo4j