Core Insights - The rise of AI models has led to significant security risks, with incidents of prompt injection attacks increasing dramatically in the financial sector from 12% in 2024 to 47% by Q3 2025 [2] - The AI industry in China surpassed 900 billion yuan in 2024, growing by 24% year-on-year, with 5,300 AI companies by September 2025, accounting for 15% of the global total [2] - Security vulnerabilities in AI models are primarily due to traditional security systems being unable to cover over 60% of these unique risks, highlighting a shift in the security landscape [3] Industry Trends - The security industry is undergoing a significant transformation, with global cybersecurity IT investment projected to reach $377 billion by 2028, reflecting a compound annual growth rate (CAGR) of 11.9% [3] - In China, cybersecurity spending is expected to grow from $11 billion in 2023 to $17.1 billion by 2028, with a CAGR of 9.2% [3] - Prompt injection vulnerabilities are the most common risks associated with large models, characterized by low barriers to entry and high success rates for attackers [4] Security Risks - Content safety has escalated to a public safety concern, with 83% of multimodal models capable of generating violent content, and some models able to provide instructions for creating explosive devices [5] - New risks have emerged with the transition from large models to intelligent agents, including issues related to sandbox permissions and the lack of comprehensive security measures [5][6] - Data leakage remains a critical risk, with incidents of attackers using gradient reverse engineering to extract sensitive user data from financial models [6] AI in Security Defense - AI is increasingly being integrated into security operations, enhancing threat detection and response capabilities, with predictions indicating that by 2027, 25% of enterprises will use generative AI to formulate security strategies [7][8] - The shift from static to dynamic defense models is becoming essential, as traditional methods are inadequate against AI-driven threats [8][9] - AI's role in security operations is maturing, with efficiency improvements of 20% to 30% reported in security operations through the use of large models [10] Market Dynamics - A majority of security vendors are incorporating generative AI capabilities into their products, with over half of the exhibitors at the RSAC2024 security summit already integrating AI into their core offerings [10] - The evolution of AI in the security industry is moving from manual responses to intelligent automation, fundamentally reshaping defense paradigms and improving operational efficiency [10]

Core Insights - The 2025 TechWorld Smart Security Conference, themed "Dynamic·Digital Intelligence Leap, Boundless Game," was held in Beijing, focusing on AI security, data security, and offense-defense confrontation [1][2] - The conference, hosted by Green Alliance Technology for the thirteenth consecutive year, has become a significant annual exchange platform for China's cybersecurity industry, witnessing the evolution from point protection to systematic and intelligent security [1][2] Group 1: Company Initiatives - Green Alliance Technology emphasizes "data" and "intelligence" as core directions, focusing on AI security, data security, and practical offense-defense strategies, continuously deepening innovation and implementation [3] - The company is building a new ecosystem for AI security, integrating intelligent capabilities into traditional security products, and enhancing AI security governance and protection capabilities [3] - In data security, Green Alliance Technology is developing a comprehensive security system based on the "identification-protection-circulation-governance" framework, ensuring safe and compliant data utilization [3][19] Group 2: Industry Trends - The rapid development of the intelligent economy has made data a key driver of economic growth, with a shift from "digital industrialization" to "industrial digitalization" in China's digital economy [4][6] - AI is becoming a critical force in global technological competition, with the power industry focusing on building secure, trustworthy, and controllable intelligent systems based on industry-specific large models [8] - The emergence of large models in AI is transforming security offense and defense into a new phase of intelligent games, highlighting the need for effective defenses in the AI era [20] Group 3: Conference Highlights - The conference featured various forums discussing the latest innovations and technological breakthroughs in AI security, data security, and practical offense-defense strategies, promoting deep integration and collaborative development in the cybersecurity industry [27][30] - Keynote speakers included experts from various sectors, emphasizing the importance of AI in enhancing cybersecurity capabilities and the need for a comprehensive approach to data governance [28][29] - The event marked a significant evolution in China's cybersecurity landscape, transitioning from academic discussions to a comprehensive industry event that showcases advancements in AI, data security, and practical defense strategies [30]