1.Intelligent Threat Detection and Defense
By leveraging technologies like machine learning and deep learning, this system performs real-time analysis and learning of network traffic, system logs, and other data to automatically identify and detect potential threats. Once abnormal behavior or signs of an attack are detected, AI can immediately implement corresponding defense measures, such as isolating the infection source or blocking the attack path, effectively protecting the network system.
2.Intelligent Risk Assessment and Prediction
Using historical and real-time data, this technology assesses and predicts the risk levels of network systems. By analyzing the features, patterns, and trends of the data, it predicts potential network risk events and allows for the development of corresponding strategies in advance to mitigate those risks.
3.Intelligent Intrusion Detection and Response
An intelligent intrusion detection system (IDS/IPS) is built to perform deep analysis and detection of network traffic, identifying and blocking various intrusion attempts. When an intrusion is detected, an emergency response mechanism is automatically triggered, including alerts, logs, isolation, and other actions, enabling timely responses to network attacks and protecting the network system.
China Telecom Cloud Computing Research Institute Beijing Headquarters
(No. 42, Xueyuan Road, Haidian District, Beijing)
China Telecom Cloud Computing Research Institute Shanghai Branch (No. 211, Century Avenue, Pudong New Area, Shanghai)
Beijing Public Security Registration No. 11040140060 | Beijing ICP No. 12007914
Value-Added Telecommunications Business Operation License A2.B1.B2-20090001
1.Intelligent Threat Detection and Defense
By leveraging technologies like machine learning and deep learning, this system performs real-time analysis and learning of network traffic, system logs, and other data to automatically identify and detect potential threats. Once abnormal behavior or signs of an attack are detected, AI can immediately implement corresponding defense measures, such as isolating the infection source or blocking the attack path, effectively protecting the network system.
2.Intelligent Risk Assessment and Prediction
Using historical and real-time data, this technology assesses and predicts the risk levels of network systems. By analyzing the features, patterns, and trends of the data, it predicts potential network risk events and allows for the development of corresponding strategies in advance to mitigate those risks.
3.Intelligent Intrusion Detection and Response
An intelligent intrusion detection system (IDS/IPS) is built to perform deep analysis and detection of network traffic, identifying and blocking various intrusion attempts. When an intrusion is detected, an emergency response mechanism is automatically triggered, including alerts, logs, isolation, and other actions, enabling timely responses to network attacks and protecting the network system.
