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The "Interim Measures for the Management of Generative Artificial Intelligence Services" has been implemented to standardize industrial development, and AI has helped network security technology innovation

author:Tongbi Finance

On July 13, the Cyberspace Administration of China, together with the National Development and Reform Commission, the Ministry of Education, the Ministry of Science and Technology, the Ministry of Industry and Information Technology, the Ministry of Public Security, and the State Administration of Radio, Film and Television, jointly promulgated the Interim Measures for the Management of Generative Artificial Intelligence Services (hereinafter referred to as the Measures), which came into force on August 15, 2023.

As a new compliance policy for ChatGPT in China, the Measures clarify the support and encouragement attitude for the generative AI industry, and put forward relevant requirements from the algorithm design and filing, training data and models of generative AI service providers, to the protection of user privacy, trade secrets, supervision and inspection and legal liability, etc., which better balance the management requirements of prudent compliance and the development needs of encouraging marketization at the level of principle and system, and provide better flexible support for the market.

As a technology innovator in network security visualization, Anbotong put forward the concept of "behavior visualization, exception visualization, and path visualization" in 2016, and designed and developed cutting-edge visualization technologies and products from four dimensions: asset side, strategy side, traffic side and data side. As a leading upstream manufacturer with profound core network security technologies and products, Anbotong has served users in government, enterprise, finance, communications, energy and other industries with its original independent and controllable solution capabilities for many years. Regarding the issuance of the Measures, Anbotong believes that while the new policy is conducive to generative artificial intelligence, it also puts forward prudent compliance requirements for the protection of cybersecurity, data security, user privacy, and trade secrets in this field. Under the wave of rapid development of artificial intelligence, technological development and "safe" development will be protected and encouraged.

A new track of AI has been born, and high-tech enterprises have ushered in orderly development under supervision

As we all know, with the birth of ChatGPT at the end of 2022, the wave of AI brought by artificial intelligence has swept the world, including Microsoft, Google, Meta, Baidu, Alibaba and other domestic and foreign technology giants have been involved, opening a new round of "AI arms race". However, according to the latest reports in June, the personal information of more than 100,000 ChatGPT users was stolen by hackers and traded on the dark web. Group-IB, a Singapore-based threat intelligence firm, discovered that hackers stole users' ChatGPT login credentials through the Racoon infostealer, resulting in the leakage of some sensitive data in user chat logs and AI response messages.

The large-scale user information leakage accident of ChatGPT undoubtedly makes generative artificial intelligence face severe network security challenges. Peng Jun, vice president of Ambotong, said that with the acceleration of global digital transformation, cybersecurity has become an indispensable part of it. The wide application of information technology in all walks of life is inseparable from the guarantee of network security. As an integral part of the information industry, so is the generative artificial intelligence industry.

On the one hand, according to the interpretation of the official account of Han Kun Law Firm, AI is an emerging industry, and on the basis of encouraging scientific and technological innovation, the Measures also put forward the regulatory idea of "inclusiveness, prudence and hierarchical classification" for generative AI services on a trial basis, stipulating that each department strengthens the management of generative AI services ex officio, while retaining certain flexibility, on the basis of which regulatory departments, industry regulatory authorities, and standardization organizations can formulate more detailed hierarchical classification rules for generative AI. and more stringent specifications for specific industries, specific applications, or certain high-risk generative AI services. On the other hand, the Measures moderately relax the specific compliance requirements for generative AI data training, model application and optimization, such as requiring providers to "take effective measures to improve algorithm transparency", reducing service providers' obligations on algorithm transparency.

Under the supervision and guidance of relevant national departments, the AI track will usher in benign and healthy development. Among them, as a visual network security technology innovator, Anbotong will also work with many high-tech enterprises to embrace the AI opportunities given by the times.

Represented by network visualization, Ambotong is continuously exploring the integration of AI into its visualization products

In recent years, driven by industrial policies such as the National Notice on Supporting the Construction of a New Generation of Artificial Intelligence Demonstration Application Scenarios, Guiding Opinions on Accelerating Scenario Innovation and Promoting High-quality Economic Development with High-level Application of Artificial Intelligence, and Three-Year Action Plan for the Development of New Data Centers (2021-2023), as a supplier of upstream underlying systems and core products in the network security industry, Anbotong has given full play to the leading role of leading enterprises and has preemptively laid out "AI security". In April 2023, we officially joined hands with Baidu Security to build cybersecurity AI Inside to further realize comprehensive cooperation between cybersecurity + AI products.

Facing the challenges brought by generative artificial intelligence such as ChatGPT to network security, Anbotong is actively committed to the research and application of machine learning technology, and takes the lead in exploring a new AI security field - visual security management software combined with artificial intelligence can more efficiently carry out attack surface convergence and traffic security disposal, while increasing the availability of products and bringing a new interactive experience on the customer side. At present, Anbotong has a variety of security management products such as "spar", "metatrace", "ink shadow" and "eagle eye", which can realize the visual and manageable management of business resources and network traffic from multiple levels such as business, data, and traffic by combining its own highly competitive underlying security gateway hardware. At present, in the new AI track, major manufacturers are conducting an unprecedented technological revolution and innovation breakthrough based on the research and application of large language models. In the planning of key core technologies, every bold attempt to dare to reach the forefront of science and technology is leading the industry to move forward in continuous exploration and progress, guiding us to the next heyday era.

At present, distributed artificial intelligence is in the ascendant. With the policy dividends of the national "Measures" and other documents to fully support the development of AI-related industries, with the further advancement of the construction of cyber power, the cybersecurity industry has also ushered in new development opportunities under the empowerment of AI. In 2022, Anbotong achieved an operating income of 456 million yuan, a year-on-year increase of 16.61%, and its revenue scale was among the highest in the industry. In the future, as the whole industry accelerates the deployment of "AI security", as a leading enterprise in the upstream of network security, Anbotong will further exert greater value, lead the industry to improve network security capability innovation, and reach a new level of long-term enterprise value.

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