Overview of the Data Security Composite Governance and Practice Whitepaper

The whitepaper, co‑written by the China Software Testing Center, the National Information Center’s "Information Security Research", and Ant Group, presents a comprehensive study of current laws, standards, and data security governance practices, and for the first time proposes a "Data Security Composite Governance Model" to guide industry organizations.

Based on extensive research of the global data security industry landscape, the paper adopts the core ideas of "strategic positioning, practical traction, all‑staff participation, and technological breakthroughs" and stresses "composite" governance that integrates strategy, management, and technology, covering baseline setting, mindset operation, native design, security metrics, traceability, red‑blue confrontation, and certification.

Ant Group, together with authoritative national bodies, leverages its rich business scenarios and experience to contribute to the whitepaper, offering valuable references and recommendations for enterprises to build, optimize, and upgrade their data security governance systems amid the new data security legislation.

The paper identifies the common challenge of evaluating governance effectiveness and innovatively introduces a multi‑view security measurement framework that assesses governance processes, employee awareness, risk subject compliance, and employs red‑blue exercises to objectively verify system robustness.

The technology architecture for data security governance is described across four dimensions: system capabilities (secure parallel slices, cryptographic infrastructure, trusted environments, endpoint security), algorithm capabilities (asset identification, lineage graphs, anomaly detection), data capabilities (real‑time retrieval, compressed indexing, heterogeneous extraction), and product capabilities (holistic asset profiling, deep protection, intelligent operation, privacy‑preserving computation).

The composite governance model emphasizes all‑staff participation, native security, and intelligent security operation mechanisms.

All‑Staff Participation . Recognizing the intertwining of data and business, Ant Group promotes the principle that data security is a responsibility of every employee, using initiatives like the "Woodpecker" campaign to engage staff and ensure precise outreach.

Native Security . Security requirements are embedded into the development lifecycle so products are released with built‑in protection, and internal certification ensures the use of secure components, enhancing the inherent immunity of systems.

Intelligent security operations are advanced through automated, modular red‑blue exercise platforms that enable continuous risk tracking, allowing proactive identification and remediation of vulnerabilities.

Deputy Director Zuo Xiaodong of the China Academy of Information Security notes the significant differences between data security and traditional network security in system environment, asset scope, behavioral security, and governance methods, urging more enterprises to innovate governance models, contribute public knowledge, and support policy implementation to protect societal and citizen interests.