First Batch of Multi-Party Secure Computation FinTech Products Certified by Beijing National FinTech Certification Center

Beijing's National FinTech Certification Center announced that five fintech products, including AntChain MOSS and Ant Wind Tunnel multi‑party secure computation platforms, have passed the country's first national certification for multi‑party secure computation, highlighting the technology's growing importance in finance and data security.

Ant GroupChinaSecurity Certification

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First Batch of Multi-Party Secure Computation FinTech Products Certified by Beijing National FinTech Certification Center

DataFunSummit

Dec 27, 2022 · Blockchain

Financial Technology Testing Facilitates Secure Data Sharing in Finance

The article explains how emerging collaboration models, privacy‑computing and blockchain technologies, together with evolving regulations and industry standards, enable secure and compliant financial data sharing, describing the technical foundations, evaluation criteria, and practical testing practices that support trustworthy FinTech products.

BlockchainFederated LearningFinTech standards

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Financial Technology Testing Facilitates Secure Data Sharing in Finance

DataFunSummit

Dec 26, 2022 · Information Security

Privacy Computing in Digital Government: Background, Technical Roadmap, Case Studies, Challenges, and Recommendations

This article introduces the background, technical roadmap, real-world cases, implementation challenges, and suggested approaches for privacy computing in digital government, highlighting how secure multi‑party computation, federated learning, and trusted execution environments can enable safe data sharing.

Federated LearningPrivacy Computingdata security

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Privacy Computing in Digital Government: Background, Technical Roadmap, Case Studies, Challenges, and Recommendations

DataFunSummit

Jun 9, 2022 · Information Security

Data Usage Control and Multi‑Party Secure Computation: Policy Background, Technical Implementation, and Future Outlook

This article examines data usage control and multi‑party secure computation, covering relevant Chinese policies, the technical mechanisms such as computing contracts and blockchain integration, and future directions for regulatory digitization and standardization, while emphasizing trust, auditability, and privacy preservation.

Blockchainmulti-party computationregulation

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Data Usage Control and Multi‑Party Secure Computation: Policy Background, Technical Implementation, and Future Outlook

AntTech

Jun 17, 2020 · Artificial Intelligence

Shared Intelligence: Combining Trusted Execution Environments and Multi‑Party Computation for Privacy‑Preserving Machine Learning at Ant Group

This article presents Ant Group's shared‑intelligence solution that integrates Trusted Execution Environments (TEE) and Multi‑Party Computation (MPC) to enable privacy‑preserving data sharing and large‑scale machine‑learning across untrusted parties, discusses industry progress, technical evolution, practical deployments, and future challenges.

data sharingmulti-party computationtrusted execution environment

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Shared Intelligence: Combining Trusted Execution Environments and Multi‑Party Computation for Privacy‑Preserving Machine Learning at Ant Group

AntTech

Mar 4, 2020 · Artificial Intelligence

Shared Intelligence vs. Federated Learning: Ant Group’s Privacy‑Preserving Machine Learning Solutions for Finance

The article explains how Ant Group tackles the privacy‑usability trade‑off in AI by combining Trusted Execution Environments and Multi‑Party Computation into a “shared intelligence” framework, contrasting it with federated learning, detailing technical architectures, training workflows, and its impact on financial data sharing.

Federated Learningdata sharingfinancial technology

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Shared Intelligence vs. Federated Learning: Ant Group’s Privacy‑Preserving Machine Learning Solutions for Finance