Data Security Management Practices and Future Outlook in a Large Commercial Bank

The article introduces a large commercial bank’s approach to data security management, emphasizing its alignment with national policies, industry regulations, and recent data security incidents.

Understanding and Recognition of Data Security – Data security is treated as a national security red line, integrated throughout the data governance lifecycle. Following the Personal Information Protection Law and Data Security Law, banks must establish enterprise‑level data security governance and embed security controls in all data processes.

The regulatory environment has tightened, with the People’s Bank of China issuing standards such as the "Financial Data Security Classification Guide" and "Data Security Assessment Specification". The bank faces challenges like increased data flow in open finance, stricter compliance requirements, and the need for robust security tools.

Key Challenges include accelerated data movement in open scenarios, upgraded protection requirements, immature management mechanisms, and incomplete security technologies.

Enterprise Responsibility – Enterprises are the primary data security subjects, required to adopt a multi‑party collaborative governance model and ensure compliance across the data lifecycle.

Current Progress – Banks have made advances in organizational structure, policies, processes, technical tools, and personnel capabilities. They have established dedicated data security committees, comprehensive policies, and processes covering data classification, user permissions, and third‑party management.

Data Security Management Practice Sharing

1. Data Security Governance System Construction – Aligning with the two laws, the bank built a governance framework covering management, protection, and operation, involving technology, risk, compliance, and human resources, and created a three‑layer security defense across front, middle, and back offices.

2. Full‑Lifecycle Data Protection – Implemented controls for data collection, transmission, storage, usage, provision, and destruction, including secure data ingestion, encrypted transmission, segmented storage environments, strict access controls, and secure data disposal procedures.

3. Data Security Technical Support – Established an enterprise‑level security technology stack featuring data access control, privacy‑computing platforms, data masking, encryption, digital watermarking, and integrated monitoring, supporting both back‑office production data and front‑office analytics.

4. Industry Collaboration – Engaged with experts and participated in industry standard‑setting initiatives, promoting data security governance across the financial sector.

Future Outlook – The bank plans to enhance data security staffing, refine policies, strengthen lifecycle classification, solidify assessment mechanisms, and improve emergency response, focusing on seven key areas to continuously elevate its data security capabilities.

Images illustrating the concepts are interspersed throughout the original article.