DX.AN-Funds transaction risk monitoring engine

Product overview

In order to effectively prevent telecom network fraud cases and effectively crack down on criminals using bank card fraud,Voicecode relies on the long-term cooperation with the public security, the Ministry of industry and other government departments in the field of anti-telecom network fraud reserves of rich knowledge and practical experience, based on the years of experience in the public security and security industry, combined with the data summary and analysis of the Ministry of Public Security, to develop the identification and mining of abnormal behavior of bank fund transactions, the use of rules engine and modeling platform, financial security risks Before and during the effective screening, prevention and interception, to further strengthen the technical, information and data management and control of telecom network fraud crimes.

Technical framework

Function description

As an auxiliary business function in the anti-fraud monitoring of banks, the risk monitoring engine for staring at small security fund transaction provides an intelligent and explainable professional model for anti-telecom network fraud for banks to identify high-risk stock accounts in the bank and intercept risky transactions.

How to use

The engine can effectively enrich the model ability of the anti-fraud system in the bank. For the account with medium risk score, the bank can strengthen daily monitoring and take corresponding control measures for the account.

Application scenario

• Stock card mining

Fraudulent stock card mining

According to the patterns of fraudulent accounts, the high-risk accounts are mind from a large number of transaction data through data analysis,machine learning and statistical methods.

• Control and reporting

Report fraudulent accounts

Identify suspicious transactions through the fund transaction analysis model, excavate suspected fraudulent stock accounts and report them to the public security for a second time.

Application of risk level

• Support atomic index and rule set corresponding and management.
• Support the rule set of the corresponding batch time efficiency and threshold management.
• Support the cross application of rule reasoning and algorithm reasoning.
• Supports priority management of rule sets.
• Real-time data presentation
• Abnormal transaction detection
• Relational and visual presentation
• Risk assessment and grading
• Multi-dimensional alarms