泰康在线：以智能治理筑牢金融数据安全底座，赋能业务高质量发展

Core Insights - Financial technology is transitioning from "tool application" to "productivity innovation," emphasizing the need for robust data governance and compliance frameworks to ensure sustainable technology application [1] - Data security has evolved into a core issue for enterprise survival and competitive advantage, necessitating comprehensive strategies for data management and protection [1] Group 1: Data Security Practices - The "Data Security Operation Practice" by the company has been recognized by the China Academy of Information and Communications Technology, highlighting its commitment to sustainable data security [1] - The practice is centered around the "Wotu Big Data Platform," which facilitates a comprehensive data operation cycle and strengthens security measures [3] - Data assets are categorized and managed across four dimensions: customer, business, operations, and systems, ensuring clear security profiles for each data type [3] Group 2: Control Measures - The company has established a multi-dimensional data directory that allows for data identification, traceability, and control, implementing encryption for sensitive data upon entry [4] - Access control is reinforced through standardized management of metadata, focusing on preventing unauthorized access to sensitive data [4] - A governance mechanism is in place that allows for the discovery and resolution of risks, enhancing the company's financial data security capabilities [4] Group 3: Intelligent Collaboration - The company is building a "human-machine co-governance" ecosystem for data security, driven by AI technology and human expertise [6] - Proprietary statistical sampling algorithms have achieved over 95% accuracy in identifying sensitive fields, significantly reducing processing time from hours to seconds [6] - The integration of AI technologies enables proactive risk perception, enhancing the overall security framework [6] Group 4: Practical Outcomes - The "Data Security Operation Practice" has demonstrated significant economic value through risk prevention, efficiency enhancement, and value extraction [7] - The project has improved data utilization efficiency and compliance management, fostering market trust and supporting business growth in areas like intelligent risk control and precise underwriting [7] - The initiative also protects personal data rights and contributes to social equity and national security, establishing a reliable foundation for data security [7] Group 5: Future Outlook - As AI becomes more integrated into core processes like investment research, customer service, and risk control, the demand for data quality, security, and ethical frameworks will increase exponentially [8] - The company aims to share its experiences and methodologies with financial institutions and technology partners to develop industry standards and create a secure, trustworthy digital financial ecosystem [8]