system
The system addresses the inefficiency of conventional methods by using machine learning and real-time data analysis to detect fraudulent contracts, reducing financial losses through continuous model improvement.
JP2026101328APending Publication Date: 2026-06-22SOFTBANK GROUP CORP
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- SOFTBANK GROUP CORP
- Filing Date
- 2024-12-10
- Publication Date
- 2026-06-22
AI Technical Summary
Technical Problem
Conventional rule-based systems are ineffective in detecting unauthorized contracts, leading to economic losses due to sophisticated fraudulent activities, and there is a need for real-time data analysis to prevent such contracts.
Method used
A system that collects past contract data, uses machine learning to learn fraudulent contract patterns, analyzes real-time contract information with natural language processing and image recognition, and evaluates legitimacy to detect anomalies, sending alerts and continuously improving its model based on feedback.
Benefits of technology
Effectively reduces the risk of fraudulent contracts by identifying anomalies in real-time, minimizing financial losses and improving model adaptability to emerging fraud patterns.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure 2026101328000001_ABST
Abstract
Provide a system. 【Solution means】 Means for collecting information from a past contract database and learning the characteristics of fraudulent contracts using a machine learning algorithm; Means for analyzing real-time information transmitted from an information processing device during the contract procedure and interpreting this information using natural language processing technology; Means for obtaining image data of personal identification materials and evaluating their authenticity using image recognition technology; Means for comparing the analyzed data with learned abnormal patterns to detect abnormalities; Means for performing a risk assessment on the detected abnormalities and calculating a risk score; Means for sending a warning to the person in charge based on the risk score and proposing additional confirmation procedures; Means for continuously improving the machine learning model upon receiving feedback; Means for analyzing personal information and identification information in real time when opening an e-commerce transaction, and collating with past patterns of unauthorized use to detect abnormalities; Means for instructing additional personal verification when an abnormality is detected; A system including the above.
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