Sou Hu Cai Jing·2025-09-04 23:44Core 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]