An overreach risk detection method, apparatus, device, medium, and product
By using automated detection and machine learning models to analyze the response results of unauthorized requests, the problem of low efficiency in manual detection has been solved, enabling efficient and accurate detection and remediation of unauthorized access risks and improving the security of business systems.
CN122241713APending Publication Date: 2026-06-19INDUSTRIAL AND COMMERCIAL BANK OF CHINA
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- INDUSTRIAL AND COMMERCIAL BANK OF CHINA
- Filing Date
- 2026-03-06
- Publication Date
- 2026-06-19
Smart Images
Figure CN122241713A_ABST
Abstract
This application provides a method, apparatus, device, medium, and product for detecting unauthorized access risks, which can be applied to the fields of artificial intelligence technology and fintech. The method includes: determining the response results of a system to be detected to N unauthorized access requests; where N is a positive integer; the unauthorized access request is used to request the execution of an operation outside the scope of the requester's authority; determining the degree of unauthorized access risk of the system to be detected based on the first response result among the N determined response results, which characterizes successful unauthorized access; the determined degree of unauthorized access risk is positively correlated with the number of the first response results; if the determined degree of unauthorized access risk is higher than a preset risk level threshold, determining the root cause of the unauthorized access risk based on the response operation logs of the system to be detected to the N unauthorized access requests and a pre-trained risk root cause prediction model.
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