数据主权定义了特定国家或地区管辖范围内数据存储、处理和传输的法律和监管框架。该领域涉及数据本地化要求、隐私法和跨境数据流动限制的交叉领域，强调合规性。 法规 例如 GDPR、CCPA 和新兴的国家数据保护法规。技术和政策驱动的方法侧重于云基础设施设计， 加密 标准以及确保数据始终受适用法律约束的治理模式。以下汇编了最新的学术文章和专利解决方案，详细介绍了数据主权执行机制和合规性方面的最新进展。 技术管辖风险评估和跨国数据治理框架。
这是我们从众多科学在线期刊中精选的关于数据主权的全球英文出版物和专利，分类并侧重于数据主权、数据本地化、数据驻留、跨境数据流、数据管辖权、数据保护法、数据隐私法规、云数据主权、数据治理框架、数据政策、数据主权挑战、数据主权风险、数据主权执行和 GDPR。
Data format drift protection for application programming interfaces
Patent published on the 2026-05-28 in US under Ref US20260147922 by CAPITAL ONE SERVICES LLC [US] (Panda Meenakshi [us], Bazler Marek [us], Joshi Rohit [us], Cheng Hao [us], Gupta Ashish Prasad [us])
Abstract: Aspects discussed herein may relate to methods and techniques for scanning application programming interface requests and responses to more readily identify data issues. The system may aggregate one or more data requests and/or responses according to correlated data transactions between devices. The system may then analyze traffic associated with those requests to determine if the responses are consistent with data policies. If a response is out of line with such policies, a system for reporting[...]
Our summary: The content discusses methods for protecting against data format drift in APIs. It involves scanning API requests and responses to identify data issues. The system analyzes traffic to ensure responses align with data policies, providing reporting and correction mechanisms for inconsistencies.
data format drift, API scanning, data policy enforcement, traffic analysis
Patent
Artificial intelligence platform for genetic counseling, hereditary cancer risk assessment, and family pedigree analysis
Patent published on the 2026-04-16 in WO under Ref WO2026078678 by NADERI SEYED HAMID [IR] (Avan Amir [ir], Naderi Seyed Hamid [ir], King-yin Lam Alfred [au], Azzi Angelo [us], Yousefli Zahra [us], Pourali Ghazaleh [us], Shahidsales Soudabeh [ir], Mahmoudian Reihaneh Alsadat [ir], Anvari Kazem [ir], Maftooh Mina [ir], Fiuji Hamid [ir], Akbari Ma)
Abstract: The present invention relates to an artificial intelligence–driven platform designed for comprehensive genetic counseling, hereditary cancer risk assessment, and automated pedigree analysis. The invention integrates genomic data, clinical features, and multigenerational family history through advanced data modeling and machine learning algorithms to enable precise, scalable, and evidence-based genetic consultation. Traditional genetic counseling processes are labor-intensive, requiring manual [...]
Our summary: The platform automates genetic counseling and hereditary cancer risk assessment using AI. It integrates genomic data and family history for precise risk stratification. The system includes modules for data acquisition, processing, pedigree visualization, and actionable recommendations.
artificial intelligence, genetic counseling, hereditary cancer, machine learning
Patent
A Comprehensive Survey of Cybersecurity Threats and Data Privacy Issues in Healthcare Systems
Published on 2026-02-02 by Ramsha Qureshi, Insoo Koo @MDPI
Abstract: The rapid digital transformation of healthcare has improved clinical efficiency, patient engagement, and data accessibility, but it has also introduced significant cyber security and data privacy challenges. Healthcare IT systems increasingly rely on interconnected networks, electronic health records (EHRs), tele-medicine platforms, cloud infrastructures, and Internet of Medical Things (IoMT) devices, which collectively expand the attack surface for cyber threats. This scoping review maps and sy[...]
Our summary: This survey explores cybersecurity threats and data privacy issues in healthcare systems. It highlights the challenges posed by interconnected networks and various digital platforms. The findings emphasize the need for multi-layered defense strategies and ongoing research to enhance patient data protection.
Cybersecurity, Data Privacy, Healthcare IT, Threat Detection
Publication
regulatory challenges, technical solutions, and practical pathways
Published on 2025-02-19 by @OXFORD
Abstract: AbstractThis paper thoroughly explores the complex interplay between blockchain technology and the General Data Protection Regulation (GDPR) of the European Union, alongside the substantial challenges and potential opportunities stemming from their interaction. While the challenges of decentralization and immutability in blockchain are well-documented, this paper advances the discussion by incorporating legal developments, such as evolving interpretations of joint controllership and new advisory[...]
Our summary: This paper examines the regulatory challenges and technical solutions in aligning blockchain technology with GDPR principles, proposing practical pathways for compliance through innovative solutions such as chameleon hashes and zero-knowledge proofs.
blockchain technology, General Data Protection Regulation (GDPR), compliance challenges, innovative solutions
Publication
