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斗象科技谢忱:十年蝶变 从白帽平台到AI安全云平台
谢忱 彼时,谢忱白天在互联网大厂工作,晚上翻译资料"搬文献",他所创办运营的网络安全门户FreeBuf逐 步吸引了中国第一批白帽用户,也为斗象后来以漏洞众测平台为主的初期业务打下基础。 所谓"白帽",即"白帽黑客",也就是通过黑客技术为系统进行安全漏洞排查的网络安全从业者。2014 年,谢忱创立斗象科技,正式建立平台"漏洞盒子",成为国内最早倡导安全众包服务商业化的企业之 一。 ◎陈铭 记者 邓贞 当人工智能成为市场焦点、大模型与智能体深入千行百业,"安全"这一隐形底座的重要性愈发凸显。 在今年的世界人工智能大会(WAIC)上,斗象科技创始人、董事长兼CEO谢忱用两个"失控"概括企业 在AI时代面临的安全挑战:一是对物理世界的失控;二是推理过程不透明带来的失控。 2014年,谢忱创办了国内最早的白帽技术社区。此后十年,从搭建服务数千家企业的漏洞众测与在线安 全服务平台,到打造安全垂类大模型与智能安全云平台——在一些企业还未意识到"AI安全"意味着什么 时,斗象已走出了一条独特的网络安全进化路径。 站在AI浪潮与安全技术升级交汇的当前,上海证券报记者与这位年轻的创始人聊了聊:大模型时代, 什么是网络安全厂商真正 ...
人工智能+行动 来了
小熊跑的快· 2025-08-26 14:19
Core Viewpoint - The article emphasizes the implementation of the "Artificial Intelligence +" initiative across six key areas to foster new productive forces and support China's modernization efforts, with specific goals set for 2027, 2030, and 2035 [1]. Group 1: Six Key Areas of "Artificial Intelligence +" - "Artificial Intelligence + Science and Technology": Accelerate scientific discovery processes and drive technological innovation [2]. - "Artificial Intelligence + Industry Development": Cultivate new models and business formats, promoting intelligent development across industrial and agricultural sectors [2]. - "Artificial Intelligence + Consumer Quality": Expand new service consumption scenarios and foster new product consumption formats, promoting intelligent terminal connectivity [2]. - "Artificial Intelligence + Welfare": Create intelligent work methods and more effective learning approaches to enhance quality of life [2]. - "Artificial Intelligence + Governance Capability": Establish a new paradigm of human-machine coexistence in social governance and create a multi-governance framework for safety [2]. - "Artificial Intelligence + Global Cooperation": Promote inclusive sharing of artificial intelligence and build a global governance system for AI [3]. Group 2: Fundamental Support Capabilities - Enhancing foundational model capabilities, innovating data supply, strengthening intelligent computing power coordination, and optimizing the application development environment are essential [4]. - Promoting a thriving open-source ecosystem, strengthening talent development, ensuring policy and regulatory support, and improving safety capabilities are also critical [4]. Group 3: Participation and Opportunities - The "Artificial Intelligence +" initiative allows for broad participation, with opportunities in ecosystems that seamlessly integrate business processes and quickly cultivate user habits to form network effects [5]. - The value of vertical data is significant, especially when high-quality user data continuously feeds back to improve model capabilities, creating a snowball effect [5]. - Talent development is crucial for the success of the initiative [6].