How to "expose and dismantle" the new challenges of network security in the digital age
With the deepening 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 cope with the new challenges of network security in the digital age? At the main forum of the 2023 National Cybersecurity Awareness Week held today in Shanghai, experts and scholars provided some suggestions and ideas.
Dealing with new risks in big models, data security is crucial
Chai Hongfeng, academician of the CAE Member and dean of the Institute of Financial Science and Technology of Fudan University, made suggestions on the safety and ethics of financial data and large models in vertical fields. "Regulatory authorities 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; For the deployment and use of financial big models, collaborative governance, improved transparency, mechanisms to 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 and form data security assistants through various data labels, data types, logs, etc. in the field of data security." Hu Shaoyong, co-founder of Shanghai Guanan Information Technology Co., Ltd., said that AIGC technology itself has the possibility of sensitive data and illegal applications, so data security operation is 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, big models can be used to further improve the identification of data assets. Many security enterprises have made attempts in this regard.
Network security is constantly changing and requires joint protection from all sectors of society
Huang Daoli, Director and Researcher of the Cybersecurity Law Research Center at the Third Research Institute of the Ministry of Public Security, believes that the biggest challenge facing cybersecurity 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 number of systems increases in scale and complexity, 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 in the entire factor process, strengthening research and construction of ethical and governance systems in network security, can we better protect the safety of people's lives and property.
Author: Zhang Tianchi
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