system

JP2026096582APending Publication Date: 2026-06-15SOFTBANK GROUP CORP

Patent Information

Authority / Receiving Office: JP · JP
Patent Type: Applications
Current Assignee / Owner: SOFTBANK GROUP CORP
Filing Date: 2024-12-03
Publication Date: 2026-06-15

AI Technical Summary

⚠Technical Problem

Existing network monitoring systems struggle with real-time detection of cyber threats due to the volume of log data, lack of accuracy, high false detection rates, and delays in response, exacerbated by the shortage of skilled professionals and increasing costs.

⚗Method used

A system that includes real-time log data collection, preprocessing, anomaly detection using machine learning, natural language alerts, automatic incident response, continuous learning, and real-time visualization to enhance detection accuracy and response efficiency.

🎯Benefits of technology

Enables rapid and accurate detection of anomalies, automatic response to cyber threats, and continuous improvement of detection capabilities, reducing the burden on professionals and costs while maintaining network security.

✦ Generated by Eureka AI based on patent content.

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Abstract

Provide a system. 【Solution means】 Collection means for collecting log data in real time, Preprocessing means for preprocessing the collected log data and converting it into an analyzable format, Anomaly detection means for detecting anomalies deviating from normal communication patterns using the preprocessed data, Notification generation means for notifying the detected anomalies in natural language, Incident response means for automatically executing responses to anomalies, Learning means for improving detection accuracy through self-learning, Visualization means for visualizing the state of the network, Report generation means for periodically generating reports, A system including the above.

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