VASTDATA(SH:603138) Zhong Guo Xin Wen Wang·2025-05-26 09:36Core Viewpoint - The rapid development of AI necessitates a transformation in cybersecurity products, which should possess self-learning, adaptive, proactive discovery, response, and reaction capabilities [1][3] Group 1: AI and Cybersecurity Product Requirements - Cybersecurity products must utilize network traffic data effectively to anticipate risks, as significant amounts of this data are often lost due to high storage costs [1] - In the AI era, it is essential to address the challenge of processing and long-term storage of traffic data, allowing it to become a cumulative resource rather than being transient [1] - AI has a significant role in analyzing and processing data to enhance risk perception and response capabilities [1] Group 2: Insights from Industry Experts - The development of AI in cybersecurity requires a strong foundation of intelligent infrastructure, improved data quality, and suitable models, along with the integration of security experts' insights [3] - AI is transforming the entire lifecycle of cybersecurity defense, moving from static rules to intelligent engine-driven approaches, highlighting the limitations of traditional methods [3] - AI is viewed as both a new digital asset and a potential risk for enterprises, indicating the end of single-point defense strategies and the need for a systematic, AI-driven defense mechanism against modern cyber threats [3]