Anti-Money Laundering
Galaxybase graph database anti-money laundering solution creates a comprehensive network of relationships among various stakeholders and fund flows, enabling the visualization and computation of fragmented transaction data and dynamic network relationships. This aids business personnel in breaking through operational challenges and conducting anti-money laundering efforts.
Details of the consulting program
Business Challenges
Conducting risk assessments for individual transactions
Investigative approaches based on individual account and transaction behavior lack a holistic view, making it difficult to uncover highly covert specialized money laundering syndicates.
Identifying potential account associations and money laundering loops
Discrete data analysis struggles to penetrate real-time multiple layers of account transaction information, hindering insights into entire money laundering chains and syndicates.
Traditional rules exhibit high false positive rates and poor timeliness
Reliance on experts' past experiences and historical data samples leads to high false positive rates, requiring manual intervention and making it challenging to timely detect evolving money laundering patterns by criminals.
Solution Introduction
By integrating data from multiple sources, mapping entities like enterprises, individuals, accounts, relationships such as employment, kinship, and fund flows, the anti-money laundering network graph is constructed. It integrates formerly disparate social relationships and transaction data into a unified anti-money laundering network graph, establishing a multi-dimensional view of money laundering syndicates.
Solution Value
Global correlation graph to unearth anomalous factors
Constructed from correlated data, the correlation graph can identify hidden anomalous relationships within normal patterns, efficiently and timely exposing money laundering syndicates, leaving them with nowhere to hide.
Easily track potential account associations and money laundering loops
Through correlation analysis, disparate account information, transaction data, and multiple data sources are integrated into a correlation graph, facilitating the easy tracking and reconstruction of criminal chains, identifying criminal patterns, and enabling proactive prevention and intervention.
Complement traditional discrete analysis shortcomings to reduce false positives
Galaxybase's graph algorithms such as pathfinding, centrality, and community detection efficiently identify money laundering syndicates based on correlation characteristics, offering high automation levels, timely and efficient identification of money laundering syndicates, thus reducing false positives and missed detections
Create Link is the first domestic commercial graph database supplier with fully independent intellectual property rights, dedicated to providing world-class graph database products and graph intelligence services.
Business Consulting
400-882-6897
Pre-sales Consulting
0571-88013575、0571-88016275
Enterprise Email
partner@chuanglintech.com
Media Cooperation
Marketing@chuanglintech.com
Address
L12, Building E2, Zhi Hui Zhong Chuang Center, No.3 Xiyuan No.8 Road, Xihu District, Hangzhou, China
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