Core Viewpoint - The network security and data security industry is expected to experience explosive growth driven by the demand for "small data" security in the era of artificial intelligence [1][2][3]. Group 1: Importance of "Small Data" Security - "Small data" has become the core competitive advantage for enterprises, and its security is crucial as its theft or alteration can lead to significant losses [1][2]. - The misconception that network security is only a concern for large enterprises is challenged, as small and medium-sized enterprises also face substantial risks when integrating their core business data with AI models [2][3]. Group 2: Market Growth Potential - The demand for data security is anticipated to surge as the risks associated with data breaches become more apparent, leading to increased investment in network data security across various industries [3]. - The data security market has not seen ideal growth in recent years due to the low value density of traditional "big data," but this is expected to change with the rise of "small data" [2][3]. Group 3: AI and Security Challenges - The rapid application of AI models presents both opportunities and challenges, with many servers operating without adequate security measures, potentially leading to widespread vulnerabilities [4][5]. - The reliance on AI for decision-making increases the risk of exploitation by malicious actors, necessitating robust security measures to protect against both external and internal threats [4][5]. Group 4: Strategies for Enhancing Security - The concept of a "red domain" for security has been proposed, which involves creating dedicated secure spaces for data, computing power, and applications related to AI models [4][5]. - Companies are encouraged to adopt AI-driven security measures to monitor and counteract attacks on AI models, ensuring a closed-loop security operation [6]. Group 5: Future Directions for the Industry - The company aims to focus on technological innovation, global expansion, and collaborative efforts to enhance network security and contribute to national strategies [6].

Group 1 - The year 2025 is anticipated to be a turning point for AI application, driven by large models, leading to new creativity across various industries [1] - Despite the increasing total data production, the growth rate of the data security market has not been ideal, with a predicted surge in demand as the risks associated with data loss become more pronounced [1][5] - The report from the National Data Resource Survey (2024) indicates that the annual data production in China will reach 41.06 zettabytes (ZB), a 25% year-on-year increase [5] Group 2 - "Small data security" is emerging as a core focus in the digital economy, where AI models can refine large datasets into high-value, concentrated "small data" [3] - The integration of large models into critical sectors like smart cities and industrial control systems poses significant risks, as unprotected models can lead to widespread operational failures [4] - Over-reliance on AI for decision-making can create a "butterfly effect," where errors in model outputs can have cascading consequences [4] Group 3 - The current state of the data security market is characterized by a lack of urgency in investment, as companies often only react to data breaches rather than proactively securing their data [5][6] - The shift towards high-density "small data" will necessitate increased investment in data security, as the consequences of data loss become more severe [5][6] - The network security industry is expected to see new growth opportunities due to the complexities introduced by AI and emerging business scenarios [6] Group 4 - The "vehicle-road-cloud integration" development path is recognized as a key infrastructure for the future, with significant market potential as government policies support investment in this area [7] - Ensuring data security compliance in this sector is crucial for maintaining traffic order and public safety [7]