A real-time business risk control system and method based on rule engine

Abstract

The present invention provides a real-time business risk control system and method based on a rule engine, which is applied to at least one risk control scenario. The system includes: a configuration layer, and a policy rule table is set for each risk control scenario. Policy rule group; rule engine, which extracts the features of the access basic data of risk control to obtain the extracted features, and determines the risk control scenario according to the extracted features, and determines the strategy that meets the extracted features in the policy rule table corresponding to the risk control scenario The feature conditions in the rule group, and the feature attributes corresponding to the preset strategy combination mode and all feature conditions that meet the extracted features determine the optimal gradient; the action engine executes the execution action corresponding to the optimal gradient. Beneficial effects: make risk control hit decisions for multiple risk control scenarios, and effectively select the best gradient with multiple strategies, multiple actions, and multiple gradients in a single risk control scenario.

Description

technical field [0001] The invention relates to the field of risk control systems, in particular to a real-time business risk control system and method based on a rule engine. Background technique [0002] With the rapid development of Internet finance, online payment and its applications are gradually becoming popular, bringing convenience to people's lives. At the same time, the scale of online illegal activities that profit from it has also gradually expanded, bringing about high-risk transactions, information leakage, and increased fraud incidents. Enterprises build a risk control system, set risk thresholds, carry out risk identification, risk rating, and risk avoidance, so as to ensure the smooth development of normal users' business. However, with the increasing number and complexity of business scenarios, the confrontation between protection and black production based on the business security field is intensifying. With the help of the black industry chain becoming...

AI Technical Summary

Problems solved by technology

[0006] (1) In the case of only models, data, and rule engines, it is often only possible to make risk control hit decisions for a single scenario, and it is difficult to solve the problem of flexible configuration execution of multiple strategies in the same scenario in accordance with order, priority, level, and mutual exclusion. question

[0007] (2) There is a lack of solutions to realize single-strategy multi-gradient actions. Usually, a rule engine is used to integrate the execution of risk control actions. The lack of an independent action engine and gradient settings will cause limitations in the triggering of strategic actions, and often cannot be used for single actions or Multi-action hits for efficient configuration

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