ERP跨模块高风险操作识别与分级处置方法、系统及装置

By unifying coding and dynamically adjusting log granularity in the ERP system, combined with a rule engine and anomaly detection, the problem of inaccurate identification of high-risk operations across modules in the ERP system was solved, achieving efficient and accurate risk identification and handling.

CN121858397BActive Publication Date: 2026-07-17BEIJING HI TECH TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING HI TECH TECH
Filing Date
2026-03-19
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

There is a problem of inaccurate identification of high-risk operations across modules in ERP systems. When faced with large-scale and complex ERP applications, existing technologies suffer from performance bottlenecks in log management and operation trajectory analysis, leading to a decrease in the accuracy of high-risk operation identification.

Method used

By uniformly encoding the business logs and interface calls of the ERP module, dynamically adjusting the log granularity, and combining the rule engine and anomaly detection to identify cross-module related operations and score risks, the risk classification threshold is dynamically optimized, triggering the classification handling process and generating linked alarms.

Benefits of technology

It improves the accuracy of identifying high-risk operations, reduces false alarms and false negatives, ensures that high-risk events are handled in a timely manner, achieves high efficiency and accuracy in log processing, and enhances the sensitivity of cross-module operations.

✦ Generated by Eureka AI based on patent content.

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Abstract

本发明公开了ERP跨模块高风险操作识别与分级处置方法、系统及装置,涉及数据安全技术领域。该方法,包括以下步骤:高风险操作识别优化、风险等级分级优化以及分级处置与告警。本发明对各ERP模块的业务日志与接口调用进行采集与统一编码,同时对业务日志粒度进行适配性评估以确定是否采取对应的日志粒度调节,接着通过规则引擎与异常检测对跨模块关联操作进行场景识别与风险计分,同时决定是否对风险分级阈值进行动态优化,最后根据划分的风险等级触发对应的分级处置流程,并进行联动告警与工单闭环,提高了对高风险操作识别的准确度,解决了现有技术中存在由于业务日志粒度不一致导致对高风险操作识别准确度下降的问题。
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