Core Insights - The 13th ISC.AI Internet Security Conference highlighted AI as a central theme, with a focus on intelligent agents as the future of the industry [1] - Zhou Hongyi, founder of 360 Group, predicts that 2025 will be the year of intelligent agents, which will transform organizational operations and economic structures [1] Group 1: Intelligent Agent Levels - Intelligent agents are categorized into five levels (L1-L5), with L1 being chat assistants like ChatGPT, which have limited functionality for enterprise needs [2] - L2 agents are workflow agents that automate standard operating procedures but lack flexibility, primarily used in repetitive tasks [4] - L3 agents are reasoning agents driven by large models, capable of planning tasks autonomously but face challenges in executing complex instructions [3] Group 2: Evolution and Economic Impact - The evolution of intelligent agents is driven by three technological breakthroughs: DeepSeek for reasoning model proliferation, MCP for tool interface standardization, and Manus for L3 agent development [5] - The emergence of "intelligent agent economy" is anticipated, where human roles shift from executors to managers of intelligent agents, creating new value [5][6] Group 3: Human-Agent Interaction - Future human-computer interaction will fundamentally change, with users becoming leaders of intelligent agents rather than mere operators of software [6] - Intelligent agents will take on roles such as shopping and negotiation, leading to a shift in how tasks are managed [7] Group 4: Security Implications - Intelligent agents can address talent shortages in cybersecurity by acting as virtual experts, providing 24/7 threat assessment [7] - However, there are risks of adversarial use of intelligent agents for cyberattacks, necessitating a dynamic defense system [7]

在周鸿祎看来，AI不仅拓展了技术的边界，更是在诸多领域展现出了超越传统互联网技术的能力。这 种能力不仅体现在对复杂问题的解决上，更在于它为人类创造新价值、开启新可能性的巨大潜力。 近期，在ISC.AI商学苑举办的一场公开课上，360公司的掌舵人周鸿祎发表了对互联网与人工智能 （AI）技术差异的看法。他指出，尽管互联网作为连接平台，极大地改变了世界，实现了信息与人际 间的无缝对接，但其影响力在与AI的对比中仍稍显不足。 周鸿祎强调，互联网在连接上取得了显著成就，但它无法直接解决诸如登陆火星、能源自给自足或新药 研发等复杂问题。相反，人工智能技术的出现，为生产力的直接提升开辟了新路径。他认为，AI所带 来的机遇远超互联网，为人类社会带来了前所未有的变革潜力。 ...

"智能体是大模型的'手和脚'，可以直接干活，大模型进化到智能体是必然的"，在8月6日开幕的第十三 届互联网安全大会（ISC.AI 2025）期间，360创始人周鸿祎在大会演讲中提出，AI发展如果停留在大模 型阶段，只能成为玩具，而非生产力工具。 周鸿祎称，智能体才是解决之道，"大模型进化到智能体是必然的。"它能够理解目标、规划任务、调用 工具、具备记忆，实现从需求到结果的完整交付。其核心在于使用工具的能力和利用大模型进行复杂任 务规划的能力。 谈及智能体演进的路径，周鸿祎分析，L1级别的智能体属于"玩具级"智能体，主要充当聊天助手；L2 低代码工作流智能体，已经从"玩具"进化为"工具"，但必须由人类来设置流程，AI来执行任务，人再通 过操作工具提高生产效率；L3推理型智能体，已能实现AI自主规划完成任务，但仍会因缺乏协同规划 能力而陷入瓶颈；L4级智能体则发展为多智能体蜂群，多个专家智能体可像搭积木一样灵活"拉群组 队"、多层嵌套、分工协作。 转自：北京日报客户端 在网络安全领域，智能体对网络安全正逐渐形成颠覆性影响。周鸿祎表示，当前企业面临双重挑战，一 方面，安全运营专家稀缺且培养周期长；另一方面，"智能体 ...

Core Viewpoint - The ISC.AI 2025 conference emphasizes the transition from large models to intelligent agents, highlighting their potential to revolutionize the AI industry and improve business operations [3][4][5]. Group 1: Conference Highlights - The theme of ISC.AI 2025 is "All in Agent," indicating a focus on intelligent agents as the next direction for the AI industry [4]. - Zhou Hongyi, founder of 360, stresses that intelligent agents can replace traditional business processes and are essential for countering automated attacks from hackers using multiple agents [4][6]. - The conference showcased the advancements in intelligent agents, which are seen as more effective than large models in practical applications [5][6]. Group 2: Intelligent Agents Development - Intelligent agents are categorized into four levels: L1 (chat assistants), L2 (low-code workflow agents), L3 (reasoning agents), and L4 (multi-agent swarms) [7]. - The current capabilities of intelligent agents allow them to perform tasks with greater efficiency compared to human efforts, such as threat detection and incident management [6][7]. - Zhou notes that while intelligent agents are powerful, they require deep industry knowledge to be effective, and a universal agent is currently unattainable [6][7]. Group 3: Industry Challenges and Future Directions - The emergence of "intelligent agent hackers" poses a new challenge, as they can automate attacks, increasing the risk of cyber warfare [7]. - The integration of AI technology with digital security is crucial, with a focus on collaborative model development and proactive immune systems [7].

Group 1 - The core idea of the news is the launch of the new 360 Security Cloud product, emphasizing the concept of "Security as a Service" and the integration of AI technology into security operations [1][2] - 360 Group's Vice President highlighted the transformative impact of AI on various industries, indicating a comprehensive restructuring of traditional internet products and business models [1] - The rapid development of AI is accelerating the digital transformation of enterprises while introducing more complex security threats, necessitating a shift from traditional security measures to AI-driven solutions [1] Group 2 - 360 Security Cloud integrates the company's leading intelligent capabilities, comprehensive security abilities, expert teams, and 20 years of practical security knowledge to create an AI-driven one-stop security operation service platform [2] - The new platform focuses on three core business scenarios: security, efficiency, and office operations, significantly reducing human resource investment in security operations while enhancing business efficiency [2] - The "Joint Operation and Cooperation" model introduced by 360 Security Cloud aims to empower partners to quickly establish joint operation centers with national-level security capabilities, fostering a new ecosystem for digital security growth [2]

Group 1 - The stock price of 360 Technology reached 11.01 yuan as of August 6, 2025, with an increase of 0.05 yuan from the previous trading day, and a trading volume of 1.349 million hands, amounting to 1.479 billion yuan [1] - 360 Technology's main business includes internet security products and services, as well as smart hardware, establishing a comprehensive internet security ecosystem through products like "360 Security Guard" [1] - On August 6, 360 Technology launched the new 360 Security Cloud product, which is positioned as an AI-driven one-stop security operation service platform, introducing three categories of intelligent agents: security, control, and enterprise services, with threat detection efficiency improved threefold compared to manual methods [1] Group 2 - The "intelligent agent factory" platform launched by the company allows enterprises to customize their own intelligent agents, as discussed by founder Zhou Hongyi at the 13th Internet Security Conference [1] - The 360 Security Cloud has pioneered a "joint operation and cooperation" model, currently covering 118 cities nationwide [1] - As of August 6, 360 Technology experienced a net outflow of 43.3474 million yuan in main funds, while the cumulative net inflow over the past five days reached 5.82 billion yuan [1]

Core Viewpoint - The emergence of AI technology is reshaping the cybersecurity landscape, necessitating the development of security intelligent agents to address the challenges posed by advanced cyber threats [1][3]. Group 1: AI and Cybersecurity Challenges - AI technology is deeply penetrating the cybersecurity field, leading to a reconfiguration of the attack and defense dynamics [3]. - Companies face two major pain points: a severe shortage of security operation experts and the inability of traditional models to handle complex operational tasks [3]. - The rise of "intelligent hacker agents" trained through AI allows a single hacker to manage multiple automated attack tools, evolving into "super hackers" [3]. Group 2: Security Intelligent Agents - Security intelligent agents serve as digital substitutes for security operation experts, utilizing a large security model as their "brain" and possessing operational capabilities [3]. - Deploying security intelligent agents can quickly address talent shortages in government and enterprise units, enabling them to operate with multiple virtual security experts [3]. - These agents can adapt to new forms of machine-to-machine and model-to-model confrontations, allowing organizations to regain the initiative in defense [3].

Core Viewpoint - The chairman of 360, Zhou Hongyi, stated that AI large models must evolve into intelligent agents to become effective productivity tools rather than mere toys [2]. Group 1: Evolution of AI Models - Zhou highlighted two main pain points in enterprise applications of large models: insufficient reasoning ability and lack of independent working capability. The former has improved significantly in the past year, while the latter remains unresolved [2]. - Zhou emphasized that large models lack the ability to use tools and cannot perform tasks directly, which limits their effectiveness [2]. - The evolution of intelligent agents is outlined in stages, starting from L1 chat assistants, which are essentially chat tools, to L4 multi-agent swarms that can execute complex tasks collaboratively [3][3]. Group 2: Intelligent Agent Development - L2 low-code workflow agents have progressed from being "toys" to "tools," requiring human setup for processes while AI executes tasks [3]. - L3 reasoning agents can autonomously plan and complete tasks, functioning like specialized employees, but still face limitations in cross-domain complex problem-solving due to a lack of collaborative planning capabilities [3]. - L4 multi-agent swarms represent a breakthrough in nano AI, allowing multiple expert agents to collaborate flexibly, achieving high task success rates of 95.4% with a token consumption range of 5 million to 30 million [3]. Group 3: Company Initiatives - To enable more enterprises to benefit from intelligent agents, 360 recently launched the "Intelligent Agent Factory," allowing companies to customize their own L3 agents without programming knowledge [5]. - The platform also facilitates the formation of L4 multi-agent swarm teams, enhancing collaborative capabilities for businesses [5]. - As of August 6, 360's stock price was reported at 10.95 yuan per share, with a market capitalization of 766 billion yuan [5].

Core Viewpoint - The chairman of 360, Zhou Hongyi, stated that AI large models must evolve into intelligent agents to become effective productivity tools rather than mere toys [2][4]. Group 1: Pain Points and Evolution of AI Models - Zhou identified two main pain points in the application of large models: insufficient reasoning ability and lack of independent working capability. The former has improved significantly in the past year, while the latter remains unresolved [3]. - Zhou emphasized that large models lack the ability to use tools and perform tasks directly, which limits their effectiveness. He proposed that intelligent agents can address these issues by understanding goals, planning tasks, and utilizing tools to deliver complete results [4]. Group 2: Levels of Intelligent Agents - Intelligent agents are expected to evolve through several levels: - L1: Chat assistants, which are essentially chat tools providing suggestions or emotional support, are considered "toy-level" intelligent agents [4]. - L2: Low-code workflow intelligent agents have progressed from "toys" to "tools," requiring human setup for processes while AI executes tasks to enhance productivity [5]. - L3: Reasoning intelligent agents can autonomously plan and complete tasks, akin to specialized employees, but face limitations in cross-domain complex problem-solving due to a lack of collaborative planning capabilities [5]. - L4: Multi-agent swarms represent a breakthrough in nano AI, where multiple expert agents can flexibly collaborate and execute complex tasks with a high success rate of 95.4% over 1,000 steps, consuming between 5 million to 30 million tokens [5]. Group 3: Company Initiatives - To enable more enterprises to benefit from intelligent agents, 360 recently launched the "Intelligent Agent Factory," allowing companies to customize their own L3 intelligent agents using natural language without programming knowledge. This initiative aims to help every enterprise create its own intelligent agent and combine them into L4 multi-agent swarm teams [6]. Group 4: Market Performance - As of the close on August 6, 360's stock price was reported at 10.95 yuan per share, with a market capitalization of 766 billion yuan [7].

Core Insights - The rapid evolution of AI agents leads to a very short product lead time, with companies needing to focus on execution and adaptability to stay competitive [2] - The concept of "Swarm L4" categorizes AI agents into five levels, with increasing complexity and application value as the level rises [3] - Single AI agents face significant limitations in task execution, while multi-agent swarm collaboration shows a high success rate and efficiency in completing complex tasks [5] Group 1: AI Agent Development - The competitive edge in the AI agent industry lies in the ability to quickly iterate and update products, rather than just launching them [2] - The "Swarm L4" framework indicates that higher-level agents can handle more complex projects, enhancing their task processing capabilities [3] Group 2: Multi-Agent Collaboration - Multi-agent systems can execute up to 1000 steps with a success rate of 95.4%, showcasing their effectiveness in complex task execution [5] - Challenges in multi-agent collaboration include task allocation and communication costs, but the benefits outweigh these difficulties [5] Group 3: Human-Machine Collaboration - The "human-in-the-loop" principle emphasizes the importance of user oversight in AI operations, allowing for decision-making and risk reduction [6] - The unpredictability of AI outputs necessitates a collaborative approach where humans guide AI execution, enhancing overall efficiency [6] Group 4: Specialized vs. General AI Agents - Specialized AI agents focusing on single domains are more effective than general-purpose agents, which struggle to excel in multiple areas [7][8] - General AI agents are suitable for repetitive tasks, while specialized agents provide more precise and efficient services for creative tasks [8] Group 5: Cybersecurity Challenges - The rise of AI agents introduces new cybersecurity threats, with the emergence of "super hackers" capable of automating attacks using AI [9] - Companies are encouraged to deploy security AI agents to counteract these threats, acting as digital counterparts to human security experts [9][10] Group 6: 360's AI Initiatives - 360 is advancing its entire product line towards AI integration, with the "AI Factory" enabling customized security AI agents for various scenarios [10] - Data shows that security AI agents significantly outperform traditional human services in threat detection and operational efficiency [10]