奇安信董事长齐向东：大模型应用密集落地，数据安全市场在多重挑战中静待“引爆”

Core Viewpoint - The rapid application of artificial intelligence, particularly large models, in vertical fields presents new challenges and opportunities for data security, with the market expected to experience significant growth [1][6]. Group 1: Challenges in Data Security - The first challenge is the increased importance of "small data," which refers to the core assets accumulated by companies over time, making them vulnerable to theft or loss [2][5]. - The second challenge is that many large models are deployed without adequate security measures, leading to potential systemic risks where an attack could disrupt multiple interconnected systems [3][5]. - The third challenge is the over-reliance of users on AI for decision-making, which can lead to vulnerabilities if the models are manipulated or if incorrect information is introduced [5][7]. Group 2: Opportunities in Data Security Market - The data security market is predicted to "ignite" soon, with growth expected to outpace other industries due to the increasing density and value of data [6][7]. - The rise of "car-road-cloud integration" in the intelligent connected vehicle industry presents a significant market opportunity, with the potential for a trillion-dollar market as data security becomes crucial for safe operations [8]. - Companies are increasingly focusing on building data security "moats" through investments in data infrastructure, computing power platforms, and dynamic data management [1][7].