Fraud Detection in Real Time with Graphs
Learn how to handle real-time fraud detection with graph technology. Gorka Sadowski, a CISSP from the akalak cybersecurity consulting firm and Philip Rathle, VP of Product for Neo4j, discuss retail banking + first-party fraud, automobile insurance fraud and online payment ecommerce fraud.
Graph databases offer new methods of uncovering fraud rings and other sophisticated scams with a high-level of accuracy, and are capable of stopping advanced fraud scenarios in real-time. This provides an enhanced degree of insight, compared to fraud detection algorithms that use basic statistical analysis and pattern recognition. Neo4j is allowing users to develop the next generation of fraud detection systems based on connected intelligence.
Read the white paper Financial Fraud Detection with Graph Data Science: https://neo4j.com/whitepapers/financial-fraud-detection-graph-data-science/
#Fraud #FinancialFraud #FraudDetection
Видео Fraud Detection in Real Time with Graphs канала Neo4j
Graph databases offer new methods of uncovering fraud rings and other sophisticated scams with a high-level of accuracy, and are capable of stopping advanced fraud scenarios in real-time. This provides an enhanced degree of insight, compared to fraud detection algorithms that use basic statistical analysis and pattern recognition. Neo4j is allowing users to develop the next generation of fraud detection systems based on connected intelligence.
Read the white paper Financial Fraud Detection with Graph Data Science: https://neo4j.com/whitepapers/financial-fraud-detection-graph-data-science/
#Fraud #FinancialFraud #FraudDetection
Видео Fraud Detection in Real Time with Graphs канала Neo4j
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
How to Build a Fraud Detection Solution with Neo4jUber Tech Day: Using Analytics to Stop Fraud by Understanding User BehaviorsUse Cases for Neo4j: Fraud Detection | Kenny Bastani, Developer Relations at Neo4jGraph Embeddings35. Finding Clusters in GraphsBuilding a Fraud Detection Platform using AI and Big DataApplying Fraud Detection Techniques to Hunt AdversariesBring the Power of Machine Learning to Your Fight Against Online Fraud - AWS Online Tech TalksImprove Machine Learning Predictions using Graph AlgorithmsFraud detection using the elastic stackGRAPHS IN FINANCE AND FRAUD DETECTION by Jim Webber at Big Data Spain 2015Graph Gurus 55: Improving Cyber Threat Detection with Graph AnalyticsHow to Find Financial Statement Fraud | Uncover FraudTop Trends in E-Commerce FraudNeo4j (Graph Database) Crash CourseDegree CentralityProtecting your business from eCommerce fraud - RiskifiedFraud Detection: Using ML to Identify and Manage Fraudulent Activities - L200 (United States)Working With a Real-World Dataset in Neo4j - Import and Modeling