Risk control scheme migration method and device and electronic equipment

Abstract

The embodiment of the invention provides a risk control scheme migration method and device and electronic equipment. The method comprises: exporting a target risk control strategy applied to a first scene; based on the target risk control strategy, exporting a risk control model used by the target risk control strategy in the first scene and dependence data of the risk control model; and importingthe risk control model used by the target risk control strategy and dependence data of the risk control model into a risk control executable file of a second scene as risk control configuration of the target risk control strategy, and after the risk control executable file of the second scene loads the risk control configuration of the target risk control strategy, the target risk control strategy can be executed for the second scene.

Description

Technical field [0001] This document relates to the field of risk control technology, in particular to a migration method, device and electronic equipment of a risk control solution. Background technique [0002] Deep learning models have been used more and more widely in the field of risk control by virtue of their ability to process information mechanically. At present, a risk control system in a business form relies on a large number of different risk control models for risk identification. These risk control models have dependencies on strategies, events, rules, and variables, resulting in intricate and complicated underlying risk control configurations. When it is necessary to put a mature risk control solution in another business scenario into one business scenario, it takes a lot of effort and cost to sort out and migrate the risk control configuration. [0003] For this reason, how to implement scenario migration of risk control solutions simply and efficiently is a techni...

AI Technical Summary

Problems solved by technology

At present, a risk control system in a business form will rely on a large number of different risk control models for risk identification. These risk control models have dependencies on strategies, events, rules, and variables, resulting in intricate underlying risk control configurations.

When it is necessary to deploy mature risk control solutions in other business scenarios to one business scenario, it takes a lot of effort and cost to sort out and migrate the risk control configuration

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