很多企业在谈"云防火墙性能"时，往往关注拦截能力、规则多少、能不能抗住攻击。然而在真正的云环 境里，这些指标都不够。 原因很简单： 云防火墙的性能，根本不是靠某一个产品撑起来的，而是靠整个云平台的底层网络架构、安全体系、治 理能力共同决定的。 企业上云后，防火墙已经不是"挡住外面攻击的第一道墙"，而是整个安全体系的调度中心。只有平台级 架构能撑住，防火墙性能才有意义。 下面从企业视角拆解：在云计算环境中，到底什么样的平台才算"防火墙性能好"?为什么一些企业在规 划安全架构时，会把AWS纳入考虑范围? 一、为什么云时代不能再用"传统防火墙思维"评估性能? 传统IT环境评估防火墙，看两件事： 高并发能不能跑满 拦截规则支不支持 但在云中，攻击模型和流量结构都变了： 1.流量是分布式的 攻击可能同时来自成百上千个源头。 2.业务是弹性的 随时扩容缩容，安全策略必须自动跟上。 3.网络拓扑是动态的 容器、Serverless、微服务都在不停创建与销毁。 4.云网络跨区域、跨VPC、跨子网协作 没有一个防火墙能"单点"搞定安全。 因此，企业不再问："这个防火墙快不快?" 如果平台底层网络架构顶不住，再好的"防火墙产品" ...

Core Insights - The article highlights the journey of Dong Zhiqiang, Vice President of Tencent Security and head of the Cloud Security Lab, emphasizing his transition from a literature major to a key figure in cybersecurity, driven by passion and dedication [1][4]. Group 1: Cybersecurity Achievements - Dong Zhiqiang gained recognition in the cybersecurity field after developing the "Super Patrol" tool, which successfully intercepted the widespread "Panda Burning Incense" virus in 2007, marking his rise to prominence [4]. - He led a team that assisted in dismantling a criminal gang responsible for nearly half of the DDoS black market in China in 2017, significantly curbing the rampant DDoS attacks at that time [4]. - In 2020, he identified the emerging threat of AI-related cybercrime, leading efforts that resulted in the arrest of over 20 individuals involved in high-tech, covert black market activities [4]. Group 2: Cloud Security Strategies - Dong Zhiqiang emphasizes the importance of a multi-faceted approach to cloud security, focusing on three interconnected areas: technical breakthroughs, standard development, and platform governance, to create a robust security framework [5][8]. - Under his leadership, the Cloud Security Lab has developed core security products such as cloud firewalls and data security platforms, which are widely used within Tencent Cloud and by external enterprises [8]. - He actively participates in the formulation of cloud security standards, contributing to over ten standards and white papers, including the "Container Security Standard" and "Cloud Native Security White Paper," which influence both enterprise clients and national critical information infrastructure [8]. Group 3: Commitment to Continuous Improvement - Dong Zhiqiang believes that cybersecurity is an ongoing journey with no endpoint, requiring professionals to stay at the forefront of technology, standards, and operations [9]. - He has shared memorable moments from his career, such as providing free security services to small and medium-sized enterprises during the 2022 Spring Festival, showcasing the human aspect of cybersecurity [11]. - His daily routine reflects a deep commitment to cybersecurity, as he routinely reviews attack interception reports and engages with security technology literature, demonstrating a continuous learning mindset [11].

Core Viewpoint - The cloud intelligence security industry is experiencing unprecedented growth opportunities due to the explosive demand for computing power driven by the expanding digital economy [1] Group 1: Industry Development - The cloud intelligence security industry in China is showing a positive development trend, with national focus on defining data security responsibilities and collaboration among stakeholders [2] - The "Computing Power Interconnection Action Plan" emphasizes the need for clear security responsibilities during the computing power interconnection process [2] - The "Network Data Security Management Regulations" require data processors to establish security protection responsibilities through contracts [2] Group 2: Technological Innovation - Artificial intelligence is driving gradient innovation in the industry, enabling products like security operation centers and cloud workload protection platforms to achieve intelligent analysis and response [2] - Core technology breakthroughs are being strengthened, with advancements in security technologies such as zero trust and adversarial defense [2] - AI-driven network security technologies are accelerating innovation, with initial applications of security large models and intelligent security operations showing promising results [2] Group 3: Standardization and Ecosystem - The cloud intelligence security standard system is continuously improving, with over 20 industry standards being developed to cover various security aspects [3] - Beijing is prioritizing the digital security industry, aiming to create a comprehensive technology industry chain that includes network security, data security, and AI security [3] - The importance of a unified AI client for managing multiple large models and distributed computing networks is highlighted, with a focus on dynamic security defense [4] Group 4: Future Directions - There is a call for continuous improvement of the cloud intelligence security standard system to ensure high-quality development through standardization [5] - The industry is encouraged to foster open, collaborative, and trustworthy cloud intelligence security ecosystems [5] - The emphasis is placed on leveraging technological resources and innovation capabilities to enhance the overall security protection level in the cloud intelligence security field [4]