Core Insights - The Hong Kong Monetary Authority (HKMA) has announced the second phase of its Generative Artificial Intelligence (GenA.I.) sandbox, featuring 27 use cases from 20 banks and 14 technology providers, selected from over 60 proposals [1][5] - The second phase marks a shift from initial explorations to a focus on secure and reliable AI applications, with several use cases employing an "AI against AI" strategy [5][6] Group 1: Participants and Use Cases - The second phase includes 20 banks, such as Ant Bank (Hong Kong), Bank of China (Hong Kong), and HSBC, along with digital banks like PAO Bank and Ant Bank [1][2] - A total of 23 banks have participated across both phases, with 7 banks appearing in both lists, including 7 domestic banks and 13 foreign banks [2] - Specific use cases include wealth management and risk management applications by Bank of China (Hong Kong) and AI-driven transaction monitoring by Industrial Bank [2][3] Group 2: AI Strategies and Technologies - The second phase emphasizes AI governance and includes use cases for automated quality detection of AI-generated content and simulation of attack-defense scenarios to combat digital fraud [5][6] - The platform developed by Financial One Account aims to detect AI-generated fraud through a comprehensive defense system, achieving a detection rate of over 99% [6] - Collaborations among banks and technology providers, such as Fubon Bank (Hong Kong) working with Alibaba Cloud and Ant Digital Technology, are set to explore AI assistant applications [6]

Core Insights - PAObank, a subsidiary of Ping An Group, has developed an Anti-Fraud Strategy Platform in collaboration with Financial One Account, which has been selected for the Hong Kong Monetary Authority's GenA.I. sandbox, marking a significant advancement in AI application within the banking sector [2][3] - The GenA.I. sandbox, set to launch in 2024, focuses on risk management, anti-fraud measures, and customer experience innovation in the banking industry, particularly addressing deepfake fraud [2][3] Group 1 - The Anti-Fraud Strategy Platform aims to enhance the identification of deepfake technology through AI facial recognition, allowing real-time verification of user selfies to detect potential fraud [3] - PAObank's CTO highlighted the continuous enhancement of AI applications to improve operational efficiency and customer experience, with total customer deposits exceeding 8 billion HKD by Q3 2025 [3][4] - Financial One Account has launched an intelligent visual anti-fraud strategy platform, which has successfully intercepted over 20,000 black market attacks and is expected to cover over 70% of retail banking users in Hong Kong through partnerships with local banks [4]

Core Insights - PAObank, a digital bank under Ping An Group, has successfully launched an "Anti-Fraud Strategy Platform" in collaboration with OneConnect, marking a significant advancement in AI technology application within Hong Kong's banking sector [1][2] - The platform aims to combat deepfake fraud risks by utilizing AI to enhance fraud detection and risk management capabilities in the banking industry [1][3] Group 1: AI Technology and Fraud Prevention - The "Anti-Fraud Strategy Platform" is part of the GenA.I. sandbox launched by the Hong Kong Monetary Authority, focusing on risk management and fraud prevention in the banking sector [1][2] - The platform employs advanced AI facial recognition technology to verify user identities in real-time, helping to detect potential fraudulent activities [2][3] - The platform has a detection defense rate exceeding 99%, showcasing its effectiveness in identifying complex attacks such as face-swapping and forged videos [3] Group 2: Business Performance and Growth - As of Q3 2025, PAObank's total customer deposits have surpassed 8 billion HKD, indicating strong growth in personal banking services [2] - Ping An Group has developed a comprehensive database with over 3.2 trillion text data, 310,000 hours of annotated voice data, and over 7.5 billion image data, enhancing its AI capabilities across various business scenarios [4] - The implementation of AI has led to significant operational efficiencies, including a 94% instant underwriting rate for life insurance policies and a 64.4 billion CNY reduction in claims fraud for property insurance [4]

Core Insights - In 2024, the focus on large model security will shift towards the security of the models themselves, while by 2025, the risks will escalate to include the security of the intelligent agents and their application environments [1] - The rapid advancement of AI technology is driving a transformation across various industries, with predictions indicating that by 2026, 50% of China's top 500 companies will utilize AI agents for data preparation and analysis [1] - The emergence of AI agents has led to a new phase in cybersecurity, termed "intelligent agent confrontation," where cybersecurity firms are developing dynamic defense systems that utilize AI to counter AI threats [2] Company Developments - Qimingxingchen has launched the "Nine Sky. Taihe" security model and the "Anxing" intelligent agent, enhancing their capabilities to identify and manage data risks [2] - The accuracy of data risk identification has improved from 70% to 90% through the integration of AI technologies [2] - The company is actively working on a cluster of intelligent agents that can collaboratively address complex cybersecurity threats, improving operational efficiency and reducing false alarms [3] Strategic Collaborations - Qimingxingchen is collaborating with China Mobile to develop a next-generation defense system, focusing on AI security governance and integrated security solutions [6] - The partnership aims to create a robust security foundation for the digital transformation of China, addressing the challenges posed by the widespread application of large models [6] - The company is committed to continuous product iteration and technological upgrades to establish a comprehensive security protection system for large model applications [6]