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]

今天分享的是：2025信创产业发展趋势及50强报告 报告共计：31页 信创产业与生成式AI安全领域均处于高速发展阶段，技术创新与安全合规成为核心发展主线。信创产业构建了涵盖基础硬件、基础软件、云服务、应用软 件的完整产业链，核心聚焦芯片、服务器、数据库、工业软件等关键领域，行业建设加速推进，各细分领域均保持较高年均复合增长率，阿里云、腾讯云、 曙光云等企业为核心参与者，自主安全、先进性能、生态完善成为产业核心诉求，通过技术突破与方案优化助力企业数字化转型。生成式AI领域中，模型 正从"调用型"向"智能体化"演进，深度嵌入各行业关键流程，但面临模型层对抗攻击、数据层隐私泄露、应用层插件安全等多重风险，全球各国通过《人工 智能法案》等法律法规构建监管框架，中国形成以三大数据安全法律为基础的合规体系。火山引擎构建了覆盖AI基础设施、模型平台、智能体的三层安全 保障体系，通过链路加密、环境隔离、操作审计等技术，实现数据"唯用户所见、所用、所有"，推出机密推理、自持密钥等创新能力，保障全生命周期安 全。未来，信创产业将持续深化技术自主与生态完善，生成式AI安全将向全生命周期体系化防护演进，两者深度融合，信创的自主可控底 ...