盯住AI与数据安全，智能时代如何做好“防御”？

Core Insights - The 2025 TechWorld Smart Security Conference was held in Beijing, focusing on AI security, data security, and defense strategies in the context of digital transformation [1][3] - The conference aims to facilitate high-quality development in the cybersecurity industry by fostering technological exchange and collaborative innovation [3] Group 1: Industry Trends - The digital economy is evolving from "digital industrialization" to "industrial digitalization," showcasing a deep integration of digital technology with the real economy [3][4] - Effective data governance is crucial for the efficient circulation and safe utilization of data, emphasizing compliance, security, and value transformation [4] Group 2: AI and Security Challenges - AI is becoming a key force in global technological competition, with large models enhancing capabilities in task planning, knowledge reasoning, and intelligent collaboration [4][5] - The emergence of large models has introduced new security challenges, including prompt injection and unsafe model loading, which persist alongside traditional vulnerabilities [4][6] Group 3: Sector-Specific Developments - In the power industry, companies like State Grid and Southern Power Grid are developing industry-specific large models to drive digital and intelligent transformation [5] - AI security must be integrated into a unified protection system, ensuring comprehensive security measures across algorithms, datasets, platforms, and intelligent agents [5][6] Group 4: Security Strategies - The concept of "using models to govern models" is proposed as a strategy to effectively defend against security threats in the AI era [6] - Green Alliance Technology is building a security assessment and protection system focused on content, data, computing power, and business security to strengthen defenses in the AI landscape [6]