Core Viewpoint - 360 Group launched the "Intelligent Agent Factory" during the 13th Internet Security Conference (ISC.AI 2025), enabling enterprises to customize L3 intelligent agents without programming knowledge and to form L4 multi-agent teams through natural language [1][2] Group 1 - The company emphasizes the importance of addressing core pain points in small, high-yield scenarios when building effective intelligent agents [1] - Four key recommendations were provided by the CEO of 360 Digital Group, including focusing on small scenarios, knowledge-friendly scenarios, convergent scenarios, and markets with significant potential [2] Group 2 - The first recommendation is to identify small scenarios, as many companies struggle to implement large models effectively [2] - The second recommendation is to choose knowledge-friendly scenarios, which align with the company's trained models in safety awareness, knowledge understanding, and multi-modal analysis [2] - The third recommendation is to focus on convergent scenarios, where fewer types of solutions can yield greater returns [2] - The fourth recommendation highlights the necessity of market potential, as AI implementations must demonstrate visible value to be successful [2]

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]

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].

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 13th Internet Security Conference (ISC.AI 2025) focuses on the theme "ALL IN AGENT," aiming to accelerate the development of intelligent agents and their integration into various industries, fostering a new ecosystem in the intelligent era [1]. Group 1: Industry Collaboration and Innovation - Emphasis on deepening collaboration in large model technology to address the "last mile" challenge [3]. - Acceleration of technological innovation and architectural evolution in large models to enhance efficiency and accessibility [3]. - Innovation in digital security protection systems to create AI-driven proactive immunity [3]. - Promotion of international cooperation to build an open, inclusive, and secure digital future [3]. Group 2: Intelligent Agents and Event Highlights - Intelligent agents are the core topic of ISC.AI 2025, showcasing deep applications and innovative practices [5]. - The event featured the world's first L4-level intelligent agent system, "Nano AI," which supported the opening show and highlighted the rise of the nation through technology breakthroughs [5]. - The opening ceremony was hosted by a physical intelligent robot powered by Nano AI, breaking the boundaries between virtual and reality, providing attendees with a novel experience [5]. Group 3: Future Activities and Engagement - The ISC.AI series of thematic forums will continue with exciting topics, including an innovative unicorn sandbox competition and training camps [6]. - ISC.AI invites participants from various sectors to join in shaping the future of the intelligent era [6].

Core Insights - The founder of 360, Zhou Hongyi, highlighted two major pain points of large models in enterprise applications: insufficient reasoning ability and lack of independent operational capability [1] - Zhou indicated that the reasoning ability has significantly improved over the past year, while the independent operational capability needs to be addressed through intelligent agents [1] - A clear evolution path for intelligent agents was revealed, including L1 chat assistants, L2 low-code workflow agents, L3 reasoning intelligent agents capable of autonomous task planning, L4 multi-agent swarms, and L5 intelligent agents that create other intelligent agents [1]

此外，ISC.AI 2025大会还将打造20余场技术及产业论坛，输出国家、经济、社会、企业的观点，助力 智能体时代数字安全的跃迁升级。 ISC.AI一直致力于行业未来新质人才的培育，践行产教融合的发展理念。本届大会覆盖从底层技术认知 到前沿应用实战的全流程，打造"讲、训、练"三位一体的完整生态链条，通过系统化设计实现知识传 授、技能培训与实战演练的衔接。 8月6日至7日，ISC.AI 2025第十三届互联网安全大会将在北京启幕。作为全球"安全+AI"领域规格高、 规模大、影响力深远的行业盛会，本届ISC.AI以"ALL IN AGENT"为主题。 据悉，ISC.AI 2025大会设置一场全天候未来峰会，汇聚全球顶尖的AI与安全专家，从学术界的权威学 者到企业界的创新领袖，从知名机构的专业分析师到政府智库的战略专家，或深耕理论研究，或引领技 术突破，或提供决策参考，共同推动着行业变革与知识创新。 届时，ISC名誉主席邬贺铨，中国工程院院士、英国皇家工程院院士陈清泉，俄罗斯工程院外籍院士、 苏州大学机电学院院长孙立宁，教育部高等学校网络空间安全专业教学指导委员会秘书长封化民等学术 领军人物将分享前沿行业洞见；36 ...

Financial Restructuring - KnowBe4, owned by Vista Equity Partners, is refinancing approximately $146 billion (146,000 million) of private debt [1] - The refinancing is occurring through the leveraged-loan market, aiming to reduce borrowing costs [1] Company Overview - KnowBe4 is an internet security platform [1]

The world’s largest internet security provider just defaulted to blocking AI crawlers—and lets publishers set a price for scraping. https://t.co/hbiu78HXZ3 ...

Financial Data and Key Metrics Changes - The company has reset its long-term growth expectations, projecting about 10% growth for its security segment due to product maturity and market saturation [15][16] - The company anticipates a 30% to 35% growth in Annual Recurring Revenue (ARR) for new capabilities this year, particularly in API security and Gardacore segmentation [18][46] - Operating margins were close to 30% in Q1, with guidance for slightly lower margins for the year due to investments in new platforms and infrastructure [22][23] Business Line Data and Key Metrics Changes - The security segment is expected to grow at a slower rate due to maturity, while new products are projected to drive significant growth [15][16][18] - The compute business is identified as a major focus, with investments being reallocated from the delivery business to enhance growth in this area [25][26] - The delivery business is aiming for stabilization, with traffic growth expected to improve as market conditions rationalize [65][68] Market Data and Key Metrics Changes - The company has seen a shift in customer acquisition strategies, with channel partners becoming the primary source of new customers for security and compute services [8][12] - The competitive landscape has changed, with several competitors exiting the market, which may help stabilize pricing dynamics [68][71] Company Strategy and Development Direction - The company is focusing on a go-to-market transition to increase the ratio of hunters to farmers, emphasizing the need to target new customers beyond traditional CDN users [4][5] - Investments are being made in cloud infrastructure and security products to enhance the total addressable market (TAM) [23][25] - The company aims to position itself as a comprehensive cloud provider, similar to hyperscalers, by integrating compute, security, and delivery services [84][86] Management's Comments on Operating Environment and Future Outlook - Management acknowledges the challenges posed by AI in the security landscape, noting that AI has increased the attack surface and sophistication of threats [53][57] - The company believes that the demand for new security solutions, particularly those tailored for AI applications, will drive future growth [55][56] - Management is optimistic about traffic growth in the delivery business, citing potential increases from video content and AI-generated media [68][70] Other Important Information - The company has been insourcing third-party compute services to improve efficiency and customer experience [44] - The compute business is seen as a significant opportunity, particularly in media, where customers are looking for cost-effective solutions [29][30] Q&A Session Summary Question: How has the go-to-market transition been going? - The company is evolving to focus more on hunting for new customers, particularly in security and cloud computing [4][5] Question: What led to the reset of growth expectations? - The company had not provided long-term guidance for over three years and felt it was important to update the community on current views [13][15] Question: What are the critical investments needed to achieve growth? - Investments are being made in technology, compute infrastructure, and sales force expansion to support growth [21][23] Question: Is compute the top priority for the company? - Both security and compute are considered equally important, with significant investments being made in both areas [25][26] Question: How is AI impacting the security landscape? - AI has increased the sophistication of attacks and the demand for specialized security solutions [53][55] Question: What is the outlook for the delivery business? - The company aims to stabilize the delivery business and improve traffic growth, with expectations for better pricing dynamics [65][68]