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Publicações recentes – Patentes sobre soberania de dados

Data Sovereignty

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Data sovereignty
A soberania dos dados molda a concepção de sistemas de dados em conformidade com as estruturas legais em diferentes jurisdições.

Data sovereignty defines the legal and regulatory frameworks governing data storage, processing, and transfer within specific national or regional jurisdictions. This domain addresses the intersection of data localization requirements, privacy laws, and cross-border data flow restrictions, emphasizing compliance with regulamentos such as GDPR, CCPA, and emerging national data protection statutes. Technical and policy-driven approaches focus on cloud infrastructure design, encryption standards, and governance models that ensure data remains subject to applicable legal authorities. The following compilation presents the latest scholarly articles and patented solutions, detailing advancements in data sovereignty enforcement mechanisms, compliance tecnologias, jurisdictional risk assessments, and frameworks for multinational data governance.

Esta é a nossa mais recente seleção de publicações e patentes mundiais em inglês sobre Soberania de Dados, provenientes de diversos periódicos científicos online, classificadas e focadas em soberania de dados, localização de dados, residência de dados, fluxo de dados transfronteiriço, jurisdição de dados, legislação de proteção de dados, regulamentação da privacidade de dados, soberania de dados na nuvem, estrutura de governança de dados, políticas de dados, desafios da soberania de dados, riscos da soberania de dados, aplicação da soberania de dados e 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

Tópicos abordados: Soberania de dados, marcos legais, localização de dados, leis de privacidade, fluxo de dados transfronteiriço, conformidade, GDPR, CCPA, proteção de dados, infraestrutura em nuvem, padrões de criptografia, modelos de governança, mecanismos de aplicação, tecnologias de conformidade, avaliações de risco jurisdicional, governança de dados multinacional, ISO/IEC 27001, ISO/IEC 27018, GDPR, CCPA e NIST SP 800-53.

Glossário de termos utilizados

Critical Control Points (CCP): specific stages in a process where control can be applied to prevent, eliminate, or reduce food safety hazards to acceptable levels. Identifying these points is essential for effective hazard analysis and critical control management in food production systems.

Contexto histórico

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(Caso a data seja desconhecida ou irrelevante, por exemplo, "mecânica dos fluidos", é fornecida uma estimativa aproximada de seu surgimento notável)

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