AI大模型安全

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技术赋能,共筑网络安全防线
Ren Min Ri Bao· 2025-09-22 04:30
Group 1 - The event showcased advancements in network security technology, emphasizing the shift from passive defense to intelligent perception and proactive protection [2] - A variety of new technologies and applications were presented to enhance network security, addressing real-life needs and concerns of the public [2] - The exhibition featured interactive experiences, allowing attendees to engage with AI-driven security solutions and learn about their practical applications [3] Group 2 - The "gPass" framework by Ant Group integrates various biometric technologies to ensure secure authentication and enhance user experience with smart glasses [3] - The event highlighted the importance of public awareness in network security, with initiatives aimed at making security education more relatable to everyday life [3] - Companies like China Telecom and Qihoo 360 demonstrated innovative solutions for drone detection and AI model security, showcasing the integration of AI in safeguarding information [2][3]
绿盟科技发布2025半年报:营收8.01亿元 同比减亏32.65%
Zhong Zheng Wang· 2025-08-28 01:48
Core Viewpoint - Green Alliance Technology reported stable revenue and improved cash flow in the first half of 2025, focusing on enhancing asset efficiency and developing innovative security solutions in AI and data safety [1] Financial Performance - The company achieved operating revenue of 801 million yuan, remaining flat compared to the same period last year [1] - The net profit attributable to shareholders was -171.5 million yuan, a year-on-year reduction in losses by 32.65% [1] - The net cash flow from operating activities was 81.9 million yuan, reflecting a year-on-year increase of 93.47% [1] Business Strategy - The company is focusing on stable value customers in sectors such as telecommunications, finance, and energy [1] - Green Alliance Technology is innovating solutions in AI large model security and data safety [1] Product and Technology Development - The product matrix of the company continues to improve, addressing challenges in AI model iteration [1] - The company updated its AI security capability platform and launched a multi-agent security application center [1] - Research in privacy computing, trusted computing, and confidential cloud has led to the design of a trusted data space architecture under varying security requirements [1] - The company is exploring new fields such as APT tracking and forensics, cloud offensive and defensive strategies, new drone confrontation scenarios, and vehicle networking [1]