360周鸿祎：新智能体时代网络安全进入“机器对机器”新阶段

Core Insights - The integration of artificial intelligence and cybersecurity is deemed a necessary responsibility for various sectors, as emphasized by Zhao Zhiguo, former chief engineer of the Ministry of Industry and Information Technology [2] - Zhou Hongyi, founder of 360, highlighted that the evolution from large models to intelligent agents is essential for AI to transition from being a toy to a productivity tool, addressing the limitations of reasoning capabilities and independent task execution [2][3] Development Path of Intelligent Agents - Zhou Hongyi outlined a four-step development path for intelligent agents: 1. L1: Chat assistants 2. L2: Low-code workflow agents, evolving from "toys" to "tools" but requiring human setup 3. L3: Reasoning agents capable of autonomous task planning, yet limited by technical frameworks in cross-domain complex issues 4. L4: Multi-agent swarms, allowing flexible collaboration among expert agents [3] - Key advancements driving the intelligent agent industry include the popularization of reasoning models by DeepSeek, the establishment of the MCP standard for tool interface unification, and Manus's upgrade of traditional workflow models to a dynamic task decomposition architecture [3] Cybersecurity Challenges in the New Intelligent Agent Era - Companies face dual challenges in cybersecurity: a shortage of security operation experts and the emergence of "intelligent hackers" that enable automated attacks, escalating the risks of cyber warfare [4] - Zhou Hongyi expressed concerns regarding chip backdoor security risks, noting past precedents where major CPU companies embedded additional CPUs for security control, emphasizing the need for vigilance against potential non-commercial influences on product decisions [4]