How to ＂see the move and dismantle the move＂ in the new challenge of network security in the digital age

　　With the in-depth development of new technologies such as artificial intelligence, big data, cloud computing and blockchain, new network security challenges and risks are inevitably emerging. How to deal with the new challenges of network security in the digital age? Experts and scholars gave some suggestions and ideas at the Shanghai main forum of the 2023 National Cyber Security Publicity Week held today (11th).

　　Data security is very important to deal with the new risks of big model.

　　Chai Hongfeng, academician of China Academy of Engineering and dean of the Institute of Financial Science and Technology of Fudan University, made suggestions on the safety and ethical issues of financial data and vertical model. "Regulators should strengthen the review and risk assessment of financial macro models, and establish a review and testing mechanism for key people and systems to ensure their performance and security." He said that in order to ensure that the application of large-scale models in the financial field meets the requirements of laws and ethics, relevant policies and guidelines should be formulated through the cooperation between the government and Industry-University-Research; For the deployment and use of the financial macro-model, we need a mechanism to improve transparency, ensure data quality and interpretability, help users and regulators understand the decision-making basis of the model, and ensure that it is not biased or discriminatory.

　　"For the traditional general big model, people can establish small models in the industry field, and form data security assistants in the field of data security through various data labels, data types, logs, etc." Hu Shaoyong, co-founder of Shanghai Guanan Information Technology Co., Ltd. said that AIGC (Generative Artificial Intelligence) technology itself has the possibility of sensitive data and illegal application, so data security operation is very important.

　　Hu Shaoyong pointed out that in the process of data security governance, a direction that is being explored is data security experts or security assistants. In addition, the identification of data assets can be further improved by using large models, and many security companies have made attempts in this regard.

　　Network security is constantly changing and needs to be guarded by all sectors of society.

　　Huang Daoli, director and researcher of the Network Security Law Research Center of the Third Institute of the Ministry of Public Security, believes that the biggest challenge facing network security now is how to transform the institutional capacity into the actual governance capacity. "The characteristics of the law are stable, but the network security risks and the network security situation are constantly changing," she said, which requires the joint efforts of industry, operators, data processors and social third parties.

　　Xu Yu, deputy dean of the Innovation Research Institute of Shanghai Information Security Evaluation and Certification Center, pointed out from the perspective of urban data security that as the number of systems increases in scale and complexity, the exposure and vulnerability of data resources will increase. "Network security has changed from system and network as the core to data as the core." He said.

　　Song Haitao, dean of the Institute of Artificial Intelligence of Shanghai Jiaotong University, said that only by further embracing the power of science and technology, building a talent system in the process of all-factor industrial development, and strengthening the research and construction of ethics and governance system in network security can people’s lives and property be better protected.

　　Author: Zhang Tianchi