DAS-Security(SH:688023) Zhong Guo Jing Ji Wang·2025-05-12 02:17Group 1 - The establishment of a quantifiable evaluation system in cybersecurity is essential, emphasizing the integration of AI to drive innovation and high-quality industry development [1][2] - The development of AI agents is categorized into three levels: conditionally autonomous, highly autonomous, and fully autonomous, with a focus on proactive defense and collaborative intelligence sharing [1][2] - The transition from static to dynamic data security is necessary, requiring a deeper understanding of data, business, and behavioral intentions, with security AI agents being the key solution [2][3] Group 2 - The brain-computer interface industry is at a critical stage of technological breakthroughs and regulatory framework development, recognized as a national strategic sector [3] - The conference highlighted significant achievements in data factor marketization, key technological innovations, and industry applications, showcasing the leadership and innovation of Hangzhou High-tech Zone in the digital economy [3][4] - The release of the "Security AI Agent Cube: Maturity Model Evaluation Research Report" introduces a multidimensional maturity assessment framework for security AI agents, aiming to enhance AI applications towards being "trustworthy and controllable" [3]