数字金融创新提速：让技术监管技术，让数据“可用不可见”

Core Insights - Digital finance is rapidly transforming the financial system and is becoming a key driver for high-quality economic development, but it also brings significant data security risks [1][4] - The application of technologies like AI, blockchain, and quantum computing in finance presents complex security challenges that require comprehensive risk management strategies [5][6] Group 1: Digital Finance Development - Digital finance is a core pillar of the digital economy, reshaping financial services such as digital wallets and face recognition payments [1] - Financial institutions are innovating business models to be customer-centric, offering personalized financial products and integrating services into various life scenarios [2] - Major banks like ICBC and China Merchants Bank are leveraging AI to enhance customer service and operational efficiency, with ICBC launching over 100 AI applications [2][3] Group 2: Data Security Risks - Data security risks in digital finance are characterized by high concentration, rapid cross-industry transmission, and strong concealment of technical means [1] - The application of generative AI and other technologies can lead to dual risks, including unauthorized data scraping and potential leaks of sensitive financial information [5][6] - The financial sector faces challenges from API misuse, third-party cooperation vulnerabilities, and the inherent risks of emerging technologies like blockchain and quantum computing [6][7] Group 3: Regulatory and Risk Management - Regulatory bodies emphasize the importance of balancing innovation with risk control, ensuring that financial markets remain stable and orderly [4] - Experts suggest that financial institutions should enhance their data protection measures, develop regulatory technology, and establish comprehensive data governance frameworks [8][9] - There is a call for the establishment of unified data security standards and collaborative capabilities across the industry to avoid security silos [9]