Core Insights - The importance of AI infrastructure security is increasingly highlighted as the global digital economy enters an AI-driven era, with challenges such as compliance pressure and security vulnerabilities emerging [1][2] - Baidu Smart Cloud has released a comprehensive security framework for AI infrastructure, emphasizing compliance, technology, and management as foundational elements [2][3] Group 1: AI Infrastructure Security Challenges - The rapid development of computing power centers in China is driven by policy guidance and a surge in intelligent demand, but it faces challenges like compliance pressures and new attack methods targeting large models [1] - National regulations such as the Cybersecurity Law and Data Security Law have been introduced to establish basic security standards for AI infrastructure [1] Group 2: Baidu's Security Framework - Baidu has built a comprehensive security protection system based on compliance with various laws and standards, ensuring the safety of model applications, cloud services, and computing power scheduling platforms through layered defense strategies [2] - In the realm of large model application security, Baidu implements multiple measures, including strict filtering of training data and auditing input and output [2] Group 3: Security Management and Operations - Baidu emphasizes real-time awareness and end-to-end response in security management, focusing on accurate data collection, timely alert assessment, and continuous improvement mechanisms [3] - Practical case studies demonstrate Baidu's effective security solutions across various industries, addressing numerous security pain points and achieving a balance between security and business development [3][6]

Core Insights - The report emphasizes the critical importance of AI infrastructure security in the context of rapid advancements in artificial intelligence technology and the digital economy [1][2] - Baidu has developed a comprehensive AI infrastructure security framework based on extensive operational experience, addressing various security challenges faced by the industry [1][2] Group 1: Industry Background and Challenges - The global digital economy is entering a new phase driven by AI, characterized by policy-driven development, explosive demand for intelligent solutions, and deepening application scenarios [1][14] - However, the industry faces significant security challenges, including tightening compliance regulations, frequent vulnerabilities in cloud platforms, and emerging new types of attacks on large models [1][14] - National regulations such as the Cybersecurity Law and Data Security Law have been introduced to establish a baseline for AI infrastructure security [15][17] Group 2: Baidu's AI Infrastructure Security Framework - Baidu's AI infrastructure security architecture is built on compliance, technology, and management, creating a multi-layered defense system [31][35] - The framework includes compliance with various laws and standards, layered protection for core security domains, and a management system that ensures operational safety [31][35] - Key security domains include model application security, cloud service security, and security for computing resource scheduling platforms [31][35] Group 3: Large Model Application Security - Baidu focuses on large model application security through three main areas: safety barriers, data security, and security assessment [2][62] - Safety barriers involve filtering training data and auditing input/output to ensure compliance [2][65] - Data security measures cover the entire lifecycle of data, employing advanced technologies to protect sensitive information [2][73] Group 4: Compliance and Regulatory Requirements - AI infrastructure must meet various compliance requirements, including security assessments and model registration [2][4] - Baidu's cloud platform has established a compliance system that aligns with national regulations and industry standards [2][4] - The compliance framework includes measures for data classification, encryption, and access control to safeguard sensitive information [2][4]