Information Security 3 min read

Alibaba Mama Secure Data Hub Passes Trusted Privacy Computing Evaluation

Alibaba Mama’s Secure Data Hub, a privacy‑preserving data clean‑room platform that uses multi‑party computation and federated learning for secure advertising analytics, successfully passed the China Academy of Information and Communications Technology’s Trusted Privacy Computing evaluation, confirming its strong security, compliance and industry‑recognized capabilities.

Alimama Tech
Alimama Tech
Alimama Tech
Alibaba Mama Secure Data Hub Passes Trusted Privacy Computing Evaluation

On Dec 28, 2022, the China Academy of Information and Communications Technology (CAICT) held the 2022 Trusted Privacy Computing Summit in Beijing and released the seventh batch of evaluation results. Alibaba Mama's Secure Data Hub (SDH) passed the "Multi‑Party Secure Computation" and "Federated Learning" basic capability assessments.

The CAICT evaluation system, established since 2018, is the earliest and most comprehensive privacy‑computing assessment in China, widely recognized by the industry. It has become an authoritative third‑party benchmark for product development and procurement.

SDH is a Data Clean Room solution that enables advertisers, advertisers, and third‑party measurement companies to fuse data and perform privacy‑preserving modeling using MPC and PPML technologies, ensuring data privacy and compliance in marketing scenarios.

Alibaba Mama CTO Zheng Bo highlighted the platform’s commitment to secure and compliant use of privacy data, and the CAICT certification reflects its strong security capabilities.

AlibabaFederated Learningprivacy computingsecure multi-party computationData Clean Room
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