You are using an outdated browser and your browsing experience will not be optimal. Please update to the latest version of Microsoft Edge, Google Chrome or Mozilla Firefox. Install Microsoft Edge

September 24, 2024

Vietnam Releases First Draft of New Personal Data Protection Law

Subscribe to Updates

On September 24, 2024, the government of Vietnam issued the first draft of a new Law on Personal Data Protection (“Draft PDPL”). As foreshadowed in our previous legal update, the Ministry of Public Security has been very active in developing this draft law. With this draft, they promise to continue their considerable efforts to establish a robust personal data protection culture in Vietnam, as the Draft PDPL indicates a tentative entry into force on January 1, 2026.

With a tentative adoption by the National Assembly in May 2025, the Draft PDPL does not include any transition period, save for micro-enterprises, SMEs, and startups, which are only exempted from appointing a data protection department in their first two years of existence, while the timeline to comply with other obligations under the PDPL remains the same as for other enterprises.

The Draft PDPL includes 68 articles, divided into seven chapters, making it more extensive than last year’s Decree No. 13/2023/ND-CP on Personal Data Protection (“PDPD”), and expressly addresses personal data protection in many fields, including marketing services, behavioral advertising, big-data processing, AI, cloud computing, labor monitoring and recruitment, financial and credit information, health and insurance, and others.

It remains unclear how the PDPL will interact with the PDPD (whether it will replace its predecessor or coexist with it), although the Draft PDPL provides that it will prevail over any laws that have provisions on personal data protection that differ from the provisions of the PDPL.

Among the important new developments of the Draft PDPL when compared to the PDPD, we note:

  • Consent remains the main legal basis for processing, with limited exceptions (still not including “legitimate interest”). However, consent for cross-border transfer is further regulated under the Draft PDPL, including for intra-group sharing.
  • Data processing impact assessment dossiers for controllers and processors (“DPIA”) and transfer impact assessment for transferors (“TIA”) are retained, but, for the latter, the cases of transfer of personal data abroad have been further defined. These DPIAs and TIAs will have to be updated and submitted again to the authorities every six months or immediately upon material change.
  • New definitions have been inserted, such as “developers”, “personal data protection organization”, “personal data protection expert”, “de-identification of personal data”, “use of personal data for marketing”, “use of personal data for behavioral advertising”, and “personal data protection credit rating”, and other definitions currently found in the PDPD have been modified (e.g., land use right-related information has been included as “sensitive information”).
  • A data protection department must be appointed for basic personal data processing (it is no longer limited to sensitive personal data processing) and the Draft PDPL includes a recognition that a data protection department can be an external service provider (i.e., a personal data protection organization). The Draft PDPL further regulates this new service.
  • Certification mechanisms are introduced as credit ratings for personal data protection (high credibility, trust, pass, failing).
  • The 72-hour timeline to address certain data subjects’ requests and to notify the authorities in case of violation of the personal data protection regulations remains unchanged.

We will publish a deeper dive into the Draft PDPL shortly to provide you with more information on this new draft and draw comparisons with the PDPD, which was just enacted last year. [EDIT: Please see “Vietnam’s Draft Personal Data Protection Law: An In-Depth Look.”] Businesses are strongly encouraged to continue monitoring the development of this new legislation for preparation and to provide comments during the public consultation phase, which is open until November 24, 2024.

Related Professionals

Industries

Technology

Location

RELATED INSIGHTS​ 

June 23, 2026
On May 26, 2026, Thailand’s Department of Land Transport (DLT) published for public consultation a draft amendment to the Ministerial Regulation on Electronic Ride-Hailing Vehicles that would, for the first time, allow juristic persons (legal entities) to register vehicles as electronic ride-hailing cars—a right that currently belongs exclusively to natural persons, limited to one person per one vehicle. If finalized in its current form, the regulation would significantly expand the supply side of Thailand’s ride-hailing market by enabling corporate fleet operators to enter the space. The public comment period is open through June 24, 2026. Key Principles Under the Draft Regulation Under the proposed amendment, juristic persons that maintain a fleet of at least 50 vehicles will be permitted to register vehicles as electronic ride-hailing cars. This represents a fundamental shift from the current framework, which restricts registration to individual natural persons on a one-person-one-car basis. Vehicle Specifications Corporate-owned ride-hailing vehicles must meet the following requirements: Be brand new from the factory, or no more than two years old from first registration with no more than 20,000 km of use. Not be a vehicle that has been reconstructed or repaired after involvement in a serious accident affecting safety—a standard consistent with public transport vehicles (RorYor. 6). Be classified as small, medium, or large in accordance with ministerial or director-general specifications. The vehicles may be equipped with safety devices such as interior or exterior cameras (video/photo recording) and can retain the original factory color of the vehicle body (no mandatory color change is required). License Plates Corporate ride-hailing vehicles will use license plates of the same size, characteristics, and color as those for private passenger vehicles not exceeding seven seats (RorYor. 1), rather than public transport plates. Potential Impact The government has stated that the regulation is intended to: Promote
Read More
June 23, 2026
On May 14, 2026, Thailand published a ministerial regulation in the Government Gazette to prescribe measures for prevention and suppression of technology crimes. The regulation creates a comprehensive procedural framework for returning money and digital assets to victims of technology crimes. It will take effect 90 days after publication (in mid-August 2026), giving affected entities a limited window to prepare. Mandatory Reporting Obligations for Financial Institutions When a deposit account, e-money account, or digital asset wallet is frozen in connection with a technology crime, the relevant financial institution or business operator must report transaction data to the Anti-Money Laundering Office (AMLO) via AMLO’s designated electronic system. Required data elements include account numbers (sender and receiver), names, identification or passport numbers, legal entity registration numbers, phone numbers, remaining balance, damage amount, transaction reference numbers, and the bank case ID. Institutions that already share data through the information-sharing system under the emergency decree are deemed to have satisfied this reporting obligation, creating an incentive for platform participation. When the Royal Thai Police or the Department of Special Investigation seize or freeze assets related to technology crimes, they must provide AMLO with investigation reports, complaint evidence, money-trail data, and account statements. Notification and Claims Process Once the AMLO secretary-general approves verified reports of a technology crime, the account information of persons connected to the crime will be published in the Government Gazette, triggering a 90-day window for victims to file claims and for related persons to file objections. Officers will also publish details on AMLO’s electronic media and send registered mail to identified victims, which will be deemed received after 7 days domestically or 15 days internationally. Victims have 90 days from the date the crime is published in the Government Gazette to file claims through AMLO’s electronic system. Claims must include
Read More
June 15, 2026
The surge in AI development has led to a desperate demand for large, high-quality training data. However, real-world data can be expensive to collect, difficult to access, and often subject to strict privacy and regulatory constraints. Synthetic data, which consists of artificially generated records that replicate the statistical properties of real-world data without reproducing specific individuals’ information, provides an appealing solution by generating artificial datasets at scale without relying on identifiable personal information. It combines speed, cost efficiency, and regulatory compliance, making it a sensible alternative for organizations seeking to reduce risks while maintaining data utility. When properly anonymized, synthetic datasets may fall outside the scope of laws such as the EU’s General Data Protection Regulation (GDPR) or Thailand’s Personal Data Protection Act (PDPA), reducing compliance burdens while still supporting high-quality model training. However, relying on synthetic data without rigorous legal due diligence could be a strategic mistake. It replaces one set of known risks (scraping, direct privacy liability) with a new set of complex liabilities. The narrative that synthetic data is a “silver bullet” for privacy and IP compliance is dangerous and could be misleading. While synthetic data addresses data scarcity, it also introduces new legal uncertainties. Legal counsel should anticipate downstream risks arising from compromised data sources. Models trained on unlawfully obtained data may need to be decommissioned, even if their outputs appear lawful. What is synthetic data? Synthetic data refers to artificially generated information created using AI techniques such as deep learning and generative models. Instead of copying real records, it reproduces the statistical patterns and relationships found in the original dataset. Synthetic data generally falls into three categories: Fully synthetic data – Entirely new data points generated from learned patterns. The model studies the structure of the original data and produces records that resemble real-world
Read More
June 11, 2026
Thailand’s Electronic Transactions Development Agency (ETDA) has released a revised draft Electronic Transactions Act (ETA) for public hearing from May 12, 2026, to June 15, 2026. This is not merely an amendment to certain provisions of the current ETA, but a comprehensive redrafting of the entire act. The revised draft ETA introduces several significant changes from the current framework, with practical implications for businesses operating in Thailand. Unified Coverage of Public and Private Sectors The current law segregates government transactions into a separate chapter with distinct rules. The draft ETA eliminates this division, defining “transaction” to encompass civil and commercial juristic acts as well as administrative procedures, administrative contracts, and other acts of government agencies. Enhanced E-Signature Definition The definition of “electronic signature” is broadened to expressly include biometric data and refocused on identifying the signatory and demonstrating intent regarding the content of the electronic data. Shift in Burden of Proof When a party challenges the reliability of electronic data created using a “trusted electronic method” or a method prescribed by the ETDA, the burden of proof and the cost of proving unreliability shifts to the challenger. Introduction of New Digital Method Concepts The draft ETA introduces several new digital method concepts that are not currently recognized under the existing ETA framework. These include: Electronic timestamping (e-timestamp) Electronic registered delivery Electronic company seals Electronic stamp duty compliance Electronic identity authentication and verification Electronic transferable records (electronic bills of lading, promissory notes, and similar negotiable instruments) Recognition of Automated Systems and Electronic Contracting The draft ETA expressly recognizes the legal validity and enforceability of contracts formed through automated systems, including contracts concluded entirely between automated systems or between an automated system and a person. A party may not deny the binding effect of such contracts solely because no human review
Read More