AiLog Big Data Log Management and Analysis Platform is a log analysis and security event management system built on a big data architecture. The platform collects logs and data from various devices including network equipment, security tools, hosts, applications, and databases, along with performance metrics, security alerts, business data, and user behavior data. The system aggregates, standardizes, and filters collected data to provide log query, analysis, dashboard setup, and report generation capabilities. It can collect logs from over 250 brands and 5000+ device models, parsing them using over 200 rules that can be customized. The platform processes over 1 million logs per second and supports elastic scaling for high-volume log scenarios. It features a multi-tenant architecture with data isolation and privacy protection, allowing each tenant to customize configurations with detailed data permission control. AiLog integrates global threat data sources for real-time intelligence support and uses machine learning for deep log analysis to identify potential threats and abnormal behaviors. Built-in security analysis scenarios help detect device anomalies, exploitations, and lateral penetration. The platform supports correlation analysis to identify security risks such as multiple failed logins and abnormal traffic patterns. The system supports various deployment modes including cluster deployment for scalability and high availability, as well as cloud-native deployments.