How Huolala Built a Comprehensive Data Security Compliance Framework with AI

Preface

Huolala, as a large internet freight platform, faces strict data security challenges. Protecting personal information and important data is a national and personal interest, and the platform bears significant protection responsibilities. Recent regulatory strengthening requires compliance with laws, regulations, standards, and actions, making a comprehensive data security compliance management system essential.

1. Compliance Requirements and Basis

1.1 National Standards and Regulatory Requirements

Based on the Data Security Law and Personal Information Protection Law, China has issued a series of data security standards and guidelines covering data processing activities, personal information protection, and providing specific security requirements at organizational, policy, implementation, and assessment levels.

1.2 Industry Norms and Requirements

Industry regulators such as the Cyberspace Administration, Ministry of Industry and Information Technology, Ministry of Public Security, and Ministry of Transport have issued specific industry standards for data security, including the 2025 “Internet Road Freight Platform Data Security Management Requirements” guiding platforms like Huolala.

1.3 Business Needs for Data Security

With the digital economy, data becomes a critical production factor, increasing reliance on industry data and raising protection demands. The state encourages data circulation while strengthening protection of public and personal data. Data breaches can cause severe economic loss, penalties, and service interruptions, especially for logistics platforms, making a complete data security assurance system urgent.

2. Basic Framework of Data Security Compliance

Huolala’s data security framework includes:

Organizational Structure: Establish company‑level information security leadership, data security management, personal information protection bodies, compliance workgroups, and external supervision mechanisms.

Management System: Under unified network data security and personal information protection policies, develop security policies for physical environment, communication networks, information systems, business applications, network data, personal information, personnel, intelligent algorithms, incident response, and compliance management.

Technical System: Leverage cloud computing infrastructure, mobile internet security mechanisms, big data platforms, and AI‑assisted security to integrate technical safeguards with business processes.

3. Data Security Policy Implementation and Operation

The PDCA cycle drives continuous iteration of Huolala’s data security policies, ensuring alignment with regulatory changes and emerging technologies such as cloud computing, mobile internet, big data, and AI.

Legal and Regulatory Monitoring: Build a compliance knowledge base and knowledge graph for dynamic tracking.

Policy Interpretation and Execution: Deploy large‑model and retrieval‑augmented understanding for implementation.

Business Collaboration: Apply encryption, watermarking, de‑identification, and anonymization techniques consistent with specific services.

Company‑wide Enforcement: Track policy rollout, evaluate effectiveness with quantitative metrics, and audit results.

4. Data Security Management Execution

Execution follows a “Classification‑Management‑Response‑Audit” model, covering:

4.1 Data Classification and Grading

According to the Data Security Law, national standards, and industry catalogs, Huolala classifies data into operational, management, and office categories, further grading them (L1‑L4) based on sensitivity, internal, and public levels.

4.2 Data Security Lifecycle Management

Policies and controls are applied throughout the data lifecycle—risk assessment, privacy impact assessment, identity trust, access control, encryption, monitoring, incident response, backup, and recovery—embedding security responsibilities into job duties.

4.3 Incident Response and Emergency Handling

Huolala maintains a comprehensive data security incident response plan, conducts regular training and drills, and moves toward automation of emergency processes.

4.4 Compliance Audits

Annual independent audits, performed by certified bodies with no consecutive engagements, verify Huolala’s data security and personal information protection compliance.

5. Certifications of the Data Security System

International Certification: ISO/IEC 27701 privacy information management system certification, continuously renewed and recognized as an industry best practice.

National Standard Certification: GB/T 37988‑2019 maturity level‑3 certification, achieving top scores.

Industry and Association Certifications: Recognized as a benchmark for data security capability in the freight sector.

6. AI‑Driven Data Security Compliance Maturity Model

Leveraging large language models and emerging AI technologies (deepseek, AI‑Agent, RAG, function‑call, MCP), Huolala builds an AI‑assisted compliance copilot, aiming for autonomous, self‑driving compliance akin to autonomous vehicles.

Continuous technological advancement makes data security a dynamic process; Huolala’s evolving compliance framework, powered by AI, will keep supporting safe freight services for society.