Data Security and Privacy-Enhancing Computing Solutions by Alibaba Cloud

In the era of digital transformation, data security and privacy have become critical challenges for both traditional enterprises and emerging digital economy companies.

The article first describes three major security challenges: the need for cloud‑based IT infrastructure, the internet‑ization of core technologies, and the demand for data‑driven intelligent applications.

It then introduces the DSMM (Data Security Maturity Model) framework, which defines five maturity levels and emphasizes comprehensive protection across the data lifecycle—collection, storage, transmission, processing, exchange, and destruction.

Alibaba Cloud’s privacy‑enhancing computing strategy is presented as a solution, highlighting technologies such as Trusted Execution Environments (TEE), Multi‑Party Computation (MPC), Federated Learning (FL), and Differential Privacy (DP) that enable data to be used without exposing raw content.

The DataTrust product is described in detail: its core technologies, architecture (client‑side secure endpoints and cloud‑side coordination center), service modules (data management, key management, remote attestation, task scheduling, consensus approval), and typical application scenarios including unified modeling, joint prediction, joint insight, and custom algorithms for sectors like government, finance, advertising, and healthcare.

Finally, the article outlines the end‑to‑end secure data‑fusion workflow, the development status of privacy‑enhancing technologies, and Alibaba Cloud’s achievements and certifications in information security, positioning DataTrust as a mature, enterprise‑grade solution for secure data circulation.