1. Report Industry Investment Rating No relevant content provided. 2. Core Views of the Report - Generative AI is reshaping industries, but its security issues are becoming a key bottleneck for sustainable development. Future AI security will trend towards security left - shifting, system - and intelligence - based defense, and an open and shared - responsibility ecosystem [142][144] - Volcano Engine positions itself as a trusted and secure infrastructure provider for AI cloud - native, offering safe and compliant AI services and sharing security responsibilities with users [27][46] 3. Summary by Directory 3.1 Introduction - **Industrial Trajectory and Inflection Point**: The capabilities of foundational models are expanding rapidly, and enterprises are shifting from single - point trials to platform - based construction, requiring unified management of model services, data governance, etc. [16][17] - **Core Issues and Challenges in Generative AI Security**: There are risks in the model, data, and application layers, and governance and compliance need to be embedded in products [19][21][23][24] - **Volcano Engine's AI Security Proposition**: It aims to be a trusted and secure infrastructure provider for AI cloud - native, building AI security capabilities in technology, governance, and the ecosystem [27] 3.2 Generative AI Security Risks - **Regulatory and Compliance Risks**: Global regulatory bodies are strengthening laws and regulations for AI. Enterprises need to comply with relevant requirements in different regions [31][32][33] - **Data Privacy Risks**: There are risks in data collection, storage, training, and usage stages, and internal human factors can also cause risks [36][37][38] - **Generative AI Security Risks**: Risks exist in AI infrastructure, models, platforms, and intelligent agents, and along the "AI infrastructure → large model → intelligent agent" chain [40][41][42] 3.3 Volcano Engine's Generative AI Service Security Assurance System - **Security Responsibilities in the Generative AI Wave**: Security responsibilities in generative AI scenarios are shared between users and service providers, including compliance, privacy, and security responsibilities [46] - **Compliance Qualifications and Certifications**: Volcano Engine's large models have completed relevant filings and evaluations, and it participates in standard - setting to promote industry security [61][62] - **Data Security and Privacy Protection Design Concept**: The key challenges in large - model data and privacy security are addressed. The Ark TrustAI System provides a comprehensive protection plan [65][67][72] - **Generative AI Security Technology Assurance System** - **AI Infrastructure Security**: It combines platform - based and enhanced security solutions, covering governance, product protection, threat intelligence, and more [76][80][84] - **AI Model and Platform Security**: Volcano Ark ensures model and user information security. Model security has principles and lifecycle management, and the platform has a secure architecture [92][93][103] - **AI Intelligent Agent Security**: It includes identity and permission management, tool management and access control, and in - depth defense and reinforcement [114][120][124] 3.4 Summary - **Generative AI Industry Security Outlook**: Future AI security will trend towards security left - shifting, system - and intelligence - based defense, and an open and shared - responsibility ecosystem [142][144] - **Volcano Engine's Commitment to Generative AI Security**: Volcano Engine is committed to providing a trusted, controllable, and compliant AI cloud - native base and collaborating with partners to address security challenges [142]

Core Insights - The Xinchuang industry and generative AI security are in a rapid development phase, with technological innovation and compliance becoming the core development themes [1] - The Xinchuang industry has established a complete industrial chain covering basic hardware, software, cloud services, and application software, focusing on key areas such as chips, servers, databases, and industrial software [1] - Generative AI models are evolving from "call-type" to "intelligent agent" integration, embedding deeply into critical processes across various industries, while facing multiple risks [1] - A comprehensive compliance system based on three major data security laws has been formed in China, with global regulatory frameworks being established through laws like the "Artificial Intelligence Act" [1] Industry Development Status - By 2025, the Xinchuang industry is expected to enter a deep-water phase, with standards becoming more refined and product varieties continuously enriching [6] - The industry is characterized by a stepwise advancement in construction, led by state-owned enterprises with collaboration from SMEs [6] - The application of AI, particularly large models, is driving the growth of the Xinchuang industry, becoming a new growth engine [6] Key Focus Areas - The Xinchuang industry is seeing rapid growth in sectors such as finance, telecommunications, transportation, and energy, with significant advancements in core systems and standards [10][11] - AI is driving structural adjustments in Xinchuang products, with large models accelerating their application in government, telecommunications, finance, and education [12][17] Technological Insights - The Chinese CPU market is projected to reach 250 billion by 2025, with a competitive landscape evolving [25][26] - The demand for domestic databases is increasing, with a significant rise in the production of data and a growing need for non-relational databases [31][41] - The integration of AI with Xinchuang cloud services is becoming a key trend, enhancing the capabilities of various sectors [42][46] Ecosystem Development - The open-source community is playing a crucial role in enhancing the technological ecosystem of Xinchuang, facilitating faster integration of AI capabilities [19][23] - The ability of Xinchuang products to go global is improving, supported by the growing digital infrastructure investments in regions like Southeast Asia and Africa [19][23] Application Software Trends - Application software is transitioning from basic adaptation to value creation, with a focus on accelerating scene-based implementation and intelligent upgrades [44][47] - Industrial software is identified as a core area for Xinchuang, with increasing demand driven by manufacturing upgrades and smart manufacturing initiatives [44][47]