Core Insights - The event highlighted the dual challenges of data security and innovation in the AI era, emphasizing the need for effective governance and management practices [3][4][5] Group 1: Data Security Challenges - AI technology accelerates the use of data, leading to exponential growth in data processing, while malicious activities pose significant threats to user privacy [3] - The widespread application of AIGC technology has increased cross-domain data flow frequency, making traditional security measures inadequate [3] Group 2: Governance and Management Practices - The company has established a Data Security Management Committee and implemented a cross-departmental real-time collaboration mechanism to create a comprehensive data security protection system [3][4] - A one-stop data security governance platform has been developed, integrating AI technology with business scenarios to enhance efficiency in data security management [3][4] Group 3: Specific Governance Measures - The company has introduced a "three-line defense" strategy to address personal information protection issues, utilizing management processes, technical monitoring, and compliance audits [4] - Advanced AI technologies, such as deep learning and multi-modal recognition, have been employed to create an intelligent content identification and control system [4] Group 4: Future Directions - The company aims to continue collaborating with industry partners to innovate technology for data security and promote ecological development through open cooperation [5]