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Bài viết

The Vietnam AI Law (No. 134/2025/QH15) marks a significant turning point by shifting from a one-size-fits-all management approach to a risk-based governance model for artificial intelligence. To concretize this principle, the Guidance Decree establishes a comprehensive legal framework for effective risk management, fostering a sustainable AI ecosystem in Vietnam. Most importantly, it clearly defines the specific obligations of all involved parties, ensuring AI does not become an unregulated legal gray area when systems cause negative impacts. To help organizations navigate these complex regulations, the Compliance Matrix below details the mandatory legal requirements that key stakeholders must strictly observe throughout the AI system's lifecycle.

COMPLIACE MATRIX - KEY STAKEHOLDERS OF AI SYSTEMS

Artificial intelligence (AI) is increasingly being adopted and has become an integral part of operations across many organizations. In Vietnam, the Artificial Intelligence Law (Law No. 134/2025/QH15), which comes into effect on March 1, 2026. In this context, AI risk management has become a critical priority to ensure that AI systems are deployed safely. At the international level, a risk-based approach is widely recognized as a best practice for AI governance. In 2023, the U.S. National Institute of Standards and Technology (NIST) released the AI Risk Management Framework (NIST AI RMF), providing a comprehensive approach that addresses context, human factors, measurement, and control, with the goal of promoting trustworthy AI systems.

ARTIFICIAL INTELLIGENCE RISK MANAGEMENT FRAMEWORK

Bài viết phân tích vai trò của mã hóa dữ liệu trong việc đảm bảo an toàn thông tin và tuân thủ các quy định như GDPR, Luật Dữ liệu 2024 và PDPL. Nội dung đánh giá ba phương thức cốt lõi: đối xứng (AES), bất đối xứng (RSA) và một chiều (Hashing). Mã hóa cần triển khai đồng bộ từ lưu trữ, truyền tải đến thiết bị số nhằm ngăn ngừa rò rỉ và đáp ứng các tiêu chuẩn khắt khe như HIPAA, PCI DSS. Qua đó, doanh nghiệp nên áp dụng mã hóa dựa trên phân loại dữ liệu để tối ưu hóa nguồn lực và duy trì hiệu năng vận hành bền vững.

DPO NEWSLETTER #1: MÃ HÓA DỮ LIỆU: HIỂU ĐÚNG ĐỂ TUÂN THỦ

Data Protectify sẽ cùng bạn tìm hiểu về Bản Dự thảo Công khai ban đầu (IPD) của NIST Privacy Framework 1.1 – một bản cập nhật mới nhất của khung quản trị quyền riêng tư được công nhận toàn cầu. Trong bài viết này, chúng ta sẽ điểm qua những thay đổi nổi bật của phiên bản 1.1 và chia sẻ cách doanh nghiệp có thể tận dụng khung chuẩn này để nâng cao năng lực bảo vệ dữ liệu và sẵn sàng đáp ứng các yêu cầu tuân thủ mới.

PHÂN TÍCH: THÚC ĐẨY TUÂN THỦ QUYỀN RIÊNG TƯ VỚI NIST PRIVACY FRAMEWORK 1.1

<p style="text-align: justify;">Trong v&ograve;ng một th&aacute;ng vừa qua,&nbsp;<strong>Luật Bảo vệ Dữ liệu C&aacute; nh&acirc;n (PDPL)</strong>&nbsp;của Việt Nam đ&atilde; tạo ra nhiều cuộc tranh luận s&ocirc;i nổi trong c&aacute;c ng&agrave;nh nghề. Để đ&oacute;ng g&oacute;p v&agrave;o bối cảnh s&ocirc;i động n&agrave;y,&nbsp;<strong>Data Protectify</strong>&nbsp;mang đến cho bạn cập nhật mới nhất cho nghi&ecirc;n cứu của ch&uacute;ng t&ocirc;i: so s&aacute;nh giữa&nbsp;<strong>PDPL</strong>&nbsp;v&agrave;&nbsp;<strong>GDPR</strong>.</p>
<p style="text-align: justify;">Bản cập nhật n&agrave;y được x&acirc;y dựng dựa tr&ecirc;n ph&acirc;n t&iacute;ch trước đ&acirc;y của ch&uacute;ng t&ocirc;i về dự thảo PDPL, hiện đ&atilde; được chỉnh sửa để trở th&agrave;nh phi&ecirc;n bản ho&agrave;n thiện. Với việc PDPL sẽ c&oacute; hiệu lực v&agrave;o năm tới, việc hiểu r&otilde; c&aacute;c quy định n&agrave;y giống v&agrave; kh&aacute;c g&igrave; so với c&aacute;c ti&ecirc;u chuẩn to&agrave;n cầu trở n&ecirc;n quan trọng hơn bao giờ hết, đặc biệt l&agrave; đối với c&aacute;c doanh nghiệp xử l&yacute; khối lượng lớn dữ liệu c&aacute; nh&acirc;n. Bản so s&aacute;nh của ch&uacute;ng t&ocirc;i n&ecirc;u bật những điểm tương đồng ch&iacute;nh, những điểm kh&aacute;c biệt v&agrave; t&aacute;c động thực tiễn, gi&uacute;p c&aacute;c tổ chức tự tin hơn trong qu&aacute; tr&igrave;nh tu&acirc;n thủ - cả ở Việt Nam v&agrave; tr&ecirc;n to&agrave;n cầu.</p>
<p style="text-align: justify;">Ch&uacute;ng t&ocirc;i hy vọng ph&acirc;n t&iacute;ch mới nhất n&agrave;y sẽ gi&uacute;p bạn hiểu r&otilde; hơn về cả hai quy định.&nbsp;<strong>H&atilde;y c&ugrave;ng ch&uacute;ng t&ocirc;i kh&aacute;m ph&aacute; bản so s&aacute;nh ngay b&ecirc;n dưới&nbsp;</strong>👇</p>
<figure style="text-align: justify;"><img style="max-width: 100%;" src="https://res.cloudinary.com/dqocnnxmb/image/upload/v1754030467/dataprotectify/articles/uwbhxwqjh5baljeovqxr.png" alt="">
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<figure style="text-align: justify;"><img style="max-width: 100%;" src="https://res.cloudinary.com/dqocnnxmb/image/upload/v1754030468/dataprotectify/articles/w5knaoesyfwezsnlknti.png" alt="">
<figcaption></figcaption>
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<figure style="text-align: justify;"><img style="max-width: 100%;" src="https://res.cloudinary.com/dqocnnxmb/image/upload/v1754030468/dataprotectify/articles/txcfigc133xy2yhstaub.png" alt="">
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<p style="text-align: justify;"><img style="max-width: 100%;" src="https://res.cloudinary.com/dqocnnxmb/image/upload/v1754030468/dataprotectify/articles/bnyfqmnjbvajeinjumsy.png" alt=""></p>
<p style="text-align: justify;">&nbsp;</p>
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Trong vòng một tháng vừa qua, Luật Bảo vệ Dữ liệu Cá nhân (PDPL) của Việt Nam đã tạo ra nhiều cuộc tranh luận sôi nổi trong các ngành nghề. Để đóng góp vào bối cảnh sôi động này, Data Protectify mang đến cho bạn cập nhật mới nhất cho nghiên cứu của chúng tôi: so sánh giữa PDPL và GDPR.

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