ChatGPT has taken the world by storm, bringing unprecedented AI experiences to numerous consumers. This highlights the continuous development of AI technology and its rapid proliferation in people’s daily lives. Meanwhile, with the vigorous development of technologies such as 5G, IoT, and cloud native computing, the concept of edge computing has also emerged to provide the best online experience for Internet users.

Traditional AI applications involve using the Internet to upload raw data to large cloud servers for analysis. However, with the increasing number of IoT devices, this often leads to issues such as raw data leakage, insufficient network bandwidth, and communication delays. Therefore, when cloud AI is deployed in smart manufacturing, smart transportation, and other scenarios, there may be a significant degradation in service quality as devices may not work together properly, potentially causing traffic accidents, industrial safety hazards, and other problems. For this reason, using edge computing servers to analyze data locally to mitigate such problems is a popular option in the market today. However, with the rapid proliferation of AI services, the issue of potential information security risks has also come to the fore. Hacker groups have begun launching attacks on AI applications such as ChatGPT to steal large amounts of sensitive data. Edge computing security has therefore become a major challenge that needs to be addressed in the development of AI services.

Dr. John K. Zao, the founder and chairman of FiduciaEdge Technologies, pointed out that existing information security solutions can be roughly divided into three categories. The first category includes the use of virtual private networks (VPNs), firewalls, and other mechanisms to protect data in transit. The second category deals with security mechanisms for websites and databases to ensure the security of data in storage. The third category aims to implement appropriate information isolation in the trusted edge computing environments to protect those data in use. Trusted edge computing is becoming increasingly important as more manufacturers are now running AI applications on their sites to…