Nethive Project Launches SIEM Tool with Advanced Threat Detection Features
Article Content
- •Nethive Project introduces a new SIEM tool with advanced detection capabilities.
- •Key features include machine learning for SQL Injection and XSS detection.
- •Real-time log storage and a user-friendly dashboard enhance security monitoring.
The Nethive Project has released a new Security Information and Event Management (SIEM) tool that incorporates CVSS automatic measurements and machine learning for enhanced security monitoring. Key features include SQL Injection detection, XSS detection based on Chrome's XSS Auditor, and post-exploitation detection powered by Auditbeat. The tool also offers real-time log storage using Elasticsearch and Logstash, along with a user-friendly dashboard for monitoring suspicious activities. Installation requires specific pre-requisites, and users can install it via the PyPi package manager or from the latest GitHub repository. The project emphasizes flexibility and speed, utilizing Docker for deployment and Kafka for event message relaying. This launch aims to provide organizations with robust monitoring capabilities to safeguard their systems against various cyber threats.
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