Threat Console
AI 威脅態勢總覽
即時看見阻擋事件、風險等級、工業協定分析與 OT 網段健康狀態,AI 引擎持續監控異常行為。
Intelligent Protection for OT Environment
Powered by the Nvidia AI core hardware and software platform, combining AI anomaly detection with industrial protocol protection to provide real-time blocking, traffic monitoring, and compliance support for semiconductor and critical manufacturing environments.
Hardware Concept
Hardware Teardown
Scroll to reveal the AI inference module, status panel, and industrial protocol ports beneath the rugged chassis.
Scroll to disassemble
Fanless design for rack, DIN-rail, and wall-mount installation on the plant floor.
Real-time deep packet inspection and threat inference on the Nvidia GPU platform.
Live inference load and protection status, readable at a glance during patrols.
Inline protection for Modbus TCP, OPC UA, S7comm, and EtherNet/IP traffic.
Product Overview
Powered by the Nvidia AI core hardware and software platform, combining AI anomaly detection with industrial protocol protection to provide real-time blocking, traffic monitoring, and compliance support for semiconductor and critical manufacturing environments.
Industrial Threat Visibility
主畫面聚焦在威脅事件、工業協定與 Nvidia AI 核心軟硬體平台狀態,讓進到產品頁時就感受到這是一台正在保護現場的設備。
Threat Console
即時看見阻擋事件、風險等級、工業協定分析與 OT 網段健康狀態,AI 引擎持續監控異常行為。
Hardware Platform
以 Nvidia GPU 加速推論的邊緣運算平台,支援機架式、DIN-Rail 與壁掛式安裝。
Deployment & Protection Flow
How AI-IPS protects an OT network end to end: it collects communication and ICS-protocol data between SCADA, HMI, PLC, CNC and privileged PCs across the industrial switch; deployed inline or in monitoring mode, the platform performs traffic monitoring, AI anomaly analysis, ICS-protocol inspection and alerting/blocking; and it delivers real-time alerts, malicious-connection blocking or node isolation, event visualization and compliance reports back to OT and security teams for response and decision-making.
Core Highlights
Detects and blocks malicious traffic at the OT network perimeter in real-time, reducing the risk of attack propagation and production impact.
Analyzes traffic patterns and abnormal features using machine learning, addressing the limitations of traditional signature-based protection against unknown threats.
Supports inspection for industrial protocols such as Modbus TCP, OPC UA, and S7comm, understanding the semantics of OT packets and control commands.
Integrates AI-based anomaly detection with signature-based intrusion prevention, balancing known threat blocking with unknown behavior discovery.
Specifications
Use Cases
Our expert team is ready to provide product consultation and technical support.