2026行业数智化AI安全实践研究报告-中国信通院

Core Insights - The report, co-authored by Huawei and the China Academy of Information and Communications Technology, analyzes the security challenges in the integration of AI across various industries and proposes a comprehensive security governance framework for AI throughout its lifecycle [1][2]. Group 1: Development Trends and Challenges - AI technology is deeply integrating with various industries, leading to significant trends such as business process restructuring and cross-domain collaboration [11][14]. - The increasing penetration of AI necessitates a balance between development and security, emphasizing the need for agile governance and robust security measures [12][18]. - The report identifies four major trends in AI integration: business process restructuring, cross-domain collaboration, personalized services, and closed-loop optimization [14]. Group 2: Security Risks in AI Applications - AI applications face multi-dimensional security challenges, including management-level compliance issues, technical vulnerabilities, and weak industry-specific protective capabilities [16][23]. - Management-level risks include a lack of regulatory details and unclear responsibility definitions, complicating compliance and accountability [23][25]. - Technical risks span the entire AI lifecycle, from infrastructure vulnerabilities to data security and model robustness, creating a complex risk matrix [37][45]. Group 3: AI Security Governance Framework - The report proposes an "end-to-end, layered decoupling" governance framework for AI security, focusing on four technical pillars: infrastructure, data, models, and agent applications [1][2]. - Infrastructure security aims to strengthen the foundational elements such as computing power and networks, while data security emphasizes lifecycle management through classification and grading [1][2]. - The governance framework includes a collaborative model for security operations and lifecycle management, ensuring a closed-loop security operation [1][2]. Group 4: Industry-Specific Security Practices - The report analyzes security practices in four key sectors: finance, government, healthcare, and manufacturing, providing tailored solutions for each [2][4]. - In finance, a comprehensive risk control system is established to ensure data and operational compliance [2]. - The government sector focuses on building a content security defense line, while healthcare emphasizes a "one center, three protections" system to meet security requirements [2]. Group 5: Future Development Directions - The report outlines a phased development approach: short-term (2-3 years) focuses on foundational improvements and consensus building, while long-term (3-5 years) aims for self-control and ecosystem co-construction [2][10]. - The long-term vision includes breaking through underlying technical bottlenecks and promoting cross-industry and cross-border ecological collaboration [2][10].