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 respond to the new challenges of network security in the digital age? At the 2023 National Cybersecurity Promotion Week Shanghai Regional Main Forum held yesterday, experts and scholars provided suggestions and reflections. In response to the new risks of the big model, data security is crucial. Chai Hongfeng, an academician of the CAE Member and president of the Institute of Financial Science and Technology of Fudan University, put forward suggestions on the security and ethical issues of financial data and big models in vertical fields. Regulatory agencies should strengthen the review and risk assessment of financial big models, establish review and testing mechanisms for key individuals and systems to ensure their performance and safety. "He said that to ensure that the application of big models in the financial field meets regulatory and ethical requirements, relevant policies and guidelines should be formulated through cooperation between government, industry, academia, and research institutions; For the deployment and use of financial big models, collaborative governance is needed to improve transparency, ensure data quality and interpretability, help users and regulatory agencies understand the decision-making basis of the model, and ensure that it is not biased or discriminatory. For traditional general large models, 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., "said Hu Shaoyong, co-founder of Shanghai Guanan Information Technology Co., Ltd., while AIGC (Generative Artificial Intelligence) technology itself has the possibility of sensitive data and illegal applications. Therefore, Data security operations are very important. Hu Shaoyong pointed out that currently, in the process of data security governance, one direction that is being explored and implemented is data security experts or security assistants. In addition, large models can be used to further improve the identification of data assets, and many security companies have made attempts in this regard. Network security is constantly changing, and it is necessary for all sectors of society to jointly protect it. Huang Daoli, director and researcher of the Cybersecurity Law Research Center of the Third Research Institute of the Ministry of Public Security, believes that the biggest challenge facing network security now is how to translate institutional capabilities into practical governance capabilities. The characteristic of the law is stability, but the risks and situation of cybersecurity are constantly changing, "she said, which requires the joint efforts of industry, operators, data processors, and third parties in society. Xu Yu, Vice President 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 scale and complexity of the system increase, the exposure and vulnerability of data resources will increase. Network security has shifted from being centered around systems and networks to being centered around data, "he said. Song Haitao, Dean of the Artificial Intelligence Research Institute at Shanghai Jiao Tong University, stated that only by further embracing the power of technology, building a talent system for industrial development throughout the entire factor process, and strengthening research and construction of ethical and governance systems in cybersecurity can we better protect the safety of people's lives and property. (New News Agency)