Antiy Situational Awareness and Continuous Monitoring and Early Warning Platform is a cybersecurity monitoring and analysis platform that integrates threat intelligence, detection, and in-depth analysis capabilities to provide situational awareness across network environments. The platform aggregates multi-source heterogeneous data from traffic, endpoints, and network perimeters, performing correlation analysis and deep event mining to identify, track, and report on security threats. It is designed to serve security regulatory departments, critical infrastructure management agencies, and large enterprises. Core functional areas include: - Multi-source data collection and unified management from endpoints, networks, and borders - Attack event chain reconstruction based on security scenarios - High-risk event alerting from large volumes of security events - Asset identification, classification, and risk-level assessment - Vulnerability response workflows, notification, early warning, and reporting - Threat traceability using vector-level tagging and scenario-based correlation - Visualization of attack history, status, and trends across multiple scenarios The platform operates using Antiy's Persistent Threat Detection System (PTD) for network traffic, Intelligent Endpoint Protection System (IEP) for endpoints, and Persistent Threat Prevention System (PTF) for perimeters. It incorporates five data types: third-party passive traffic monitoring, endpoint scanning, host honeypots, host detection, and mobile terminal detection. It supports vector-level disassembly of threats and enables conditional retrieval, filtering, correlation, and aggregation of events based on object tags and vectors. The platform can link with Antiy's Persistent Threat Analysis System for automated deep analysis, and supports intelligence sharing and workflow management for regulatory use cases.