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

March 30, 2021

A Closer Look at Vietnam’s Hotly Debated Draft Decree on Personal Data Protection

On February 9, 2021, Vietnam’s Ministry of Public Security (MPS) released the full text of the Draft Decree on Personal Data Protection (the “Draft”), an ambitious attempt to unify the country’s regulations on personal data protection that are currently scattered throughout various legal documents. With personal data protection becoming such a prominent issue globally in recent years, the Draft is a necessary step in bringing Vietnam’s domestic regulations up to international standards, and offers some welcome additions and changes to the existing regulations.

The effective date for the decree as set out in the Draft is December 1, 2021, so it is important for companies doing business in Vietnam to understand the scope and potential impact of the new regulations, to get a head start on formulating plans for compliance. Below, we take a closer look at some of the more significant contents of the Draft.

1. Categorization of Personal Data into Basic Personal Data and Sensitive Personal Data

The Draft revises and elaborates on the definition of personal data found in existing laws and introduces the new concept of sensitive personal data. Accordingly, personal data is defined as data about individuals or relating to the identification of, or the ability to identify, a particular individual, and includes basic personal data and sensitive personal data.

The Draft provides an inclusive list of basic personal data (such as name, date of birth, phone number, etc.) which expands on the list defined in Decree 52 on E-Commerce and Decree 72 on Internet Services and Online Information, and also moves some of the previous personal data types, such as medical and financial information, to the new category of sensitive personal data. The scope of sensitive personal data as defined in the Draft ranges from specific types of data such as gender, biometrics, criminal records, and location, to very broad concepts such as political and religious views and social relationships.

2. New Principles of Personal Data Protection

The Draft newly introduces eight principles which need to be taken into account for the collection and processing of personal data. They are:

  • Lawfulness: Personal data is only collected when necessary in accordance with the law.
  • Purpose: Personal data is only processed for the purposes registered or announced.
  • Data minimization: Personal data is only collected within the scope necessary to achieve the specified purposes.
  • Restricted use: Personal data is only used with the consent of the data subject or with the permission of the competent authority.
  • Data quality: Personal data must be up to date and complete to ensure data-processing purposes.
  • Security: Protection measures must be applied to personal data in the course of data processing.
  • Individuality: Data subjects must be aware of and informed of activities related to the processing of their personal data.
  • Confidentiality: Personal data must be kept confidential during data processing.

3. Data Subjects’ Rights

Certain fundamental rights of data subjects have been explicitly or implicitly set out in various existing laws. These include the rights to give or withhold consent to the collection and processing of personal data; to be informed of the purposes of collection and processing; to access one’s own personal data; to request such data to be updated, amended, rectified, deleted, or no longer provided to a third party; and to claim compensation for loss caused by a breach during the provision of personal data. However, the Draft is the first piece of legislation that has systematically listed data subjects’ rights in a single provision.

The Draft also expands some new rights of data subjects, such as the rights to restrict access to personal data; to terminate the disclosure of or access to personal data; and to complain to the new Personal Data Protection Commission (see below) in certain circumstances where personal data is compromised or processed for the wrong purposes, or their rights are breached.

4. Revised Consent Principle and New Regulation on Disclosure of Personal Data Without Consent

The principle of consent is fundamental to data protection law. This key principle from existing laws is retained and elaborated further in the Draft. Generally, the consent principle is that the collection, storage, use, processing, publication, disclosure, and transfer of information and materials related to the private life or personal information of an individual must be consented to by that person, unless consent for such transaction is exempted by law, and the use of such personal information must be consistent with the scope of the consent given. Persons under 15 years of age are not deemed to have the legal capacity to give consent. Therefore, consent must be obtained from their parent or legal guardian.

However, existing data protection laws, except for Decree 52 which requires explicit consent from data subjects, generally do not explicitly regulate whether consent must be affirmative or if implied consent is sufficient. The Draft has now made it clear on this point that consent must be voluntary, based on being fully informed of certain stipulated information, and silence or non-response of data subjects may not be interpreted as consent. This means explicit and affirmative consent is required.

The Draft also provides new regulations on consent, such as that consent could be partial or conditional and could be withdrawn at any time; consent must be capable of being printed or copied in writing; consent is valid throughout the life of the data subject and for 20 years after the data subject’s death for the authorized activities of state agencies unless the data subject decides otherwise; and the burden of proving consent in a dispute rests with the processor.

Similar to existing data protection laws like Decree 52 and the IT Law, the Draft requires that certain information needs to be notified to the data subject before obtaining consent. The exemptions to the consent principle listed in the Draft are different from exemptions stipulated in Decree 52 and the IT Law; such overlap would ideally be cleared up before the Draft is promulgated.

In addition, the Draft provides new regulations on processing of personal data without consent in certain circumstances, such as when required by law; for national security or public order purposes; or as required by law in emergency situations that threaten the life or health of the data subject or public health.

Personal data may also be disclosed to third parties without consent in certain cases, such as to protect the life, health, or freedom of the data subject, or where the disclosure causes no harm to the legitimate rights and interests of data subjects and obtaining consent would be impossible.

5. Personal Data Retention

Generally, in existing data protection laws, personal data retention by controllers and/or processors is regulated for a certain period as stipulated by law or as agreed upon by the parties. In the Draft, data retention must stop, and the data must be deleted or destroyed, in the following cases:

  • When the purposes of processing personal data are not in line with the registered or notified purposes.
  • When retention is no longer necessary to the operation of the data processor.
  • 20 years after the death of the data subject, unless the data subject decides otherwise.

6. Personal Data Protection Measures

Following the provisions in existing personal data protection laws, the Draft requires processors to apply administrative, technical, and physical measures to protect personal data, and also introduces some new requirements, such as de-identification and encryption of information, making a list of equipment and software for processing personal data, designating a specialized department in charge of personal data protection, appointing personnel in charge of personal data protection, and reporting this information to the Personal Data Protection Commission (PDPC).

The requirement of designating a specialized department to be in charge of personal data protection seems to be cumbersome, especially for SMEs which have to process personal data of their employees but whose services and operations are not related to data processing itself.

7. New Regulation on Registration for Processing of Sensitive Data

Under the Draft, sensitive personal data must be registered with the PDPC prior to processing. Processors need to prepare an application meeting stipulated requirements and submit it to the PDPC for registration approval. The PDPC will process the application within 20 working days from the date of receipt of a valid application. This requirement would be very burdensome for companies. (For further analysis, please see our previous article.)

8. New Regulation on Cross-Border Transfer of Data

Before transferring Vietnamese citizens’ personal data out of Vietnam, the processor must fulfill four stipulated conditions, one of which is that the original data must be stored in Vietnam. This so-called data localization requirement attracted a great deal of criticism when Vietnam developed its Cybersecurity Law several years ago.

So far, the data localization requirement stipulated in Article 26.3 of the Cybersecurity Law still awaits further guidance from the government. A draft decree to guide the implementation of certain articles of the Cybersecurity Law (see previous article) has narrowed down the broad wording. It is unclear how the data localization requirement will be adopted and implemented if both draft decrees are promulgated. In addition, the data transferor must build a system to store its data transfer history for three years.

Obviously, the new regulation on cross-border transfer of data could create a barrier to trade and flow of data, increase costs for businesses, and have a negative impact on the development of digital economy of Vietnam. (For further analysis, please see our previous article.)

9. Establishment of Personal Data Protection Commission

The Draft establishes a new Personal Data Protection Commission (PDPC) and sets out its functions and responsibilities. Among other functions, the PDPC can request the Director of the Department of Cyber Security and High-Tech Crime Prevention and Control, under the MPS, to carry out inspection and examination of personal data protection in an agency or organization up to twice a year, or when there is evidence of violations of personal data protection. These twice-yearly inspections, if conducted, could be burdensome and disruptive for companies.

In addition, the PDPC will evaluate and rate the reliability of personal data protection of agencies and organizations and publish this information on the National Personal Data Protection Portal.

10. New Administrative Sanctions for Violations

The Draft provides relatively high penalties for personal data protection violations. For example, fines of up to VND 100 million (approx. USD 4,300) could be imposed for violations of regulations on registration for processing of sensitive personal data; or violations of regulations on cross-border transfer of personal data. A fine of up to 5% of the violator’s revenue in Vietnam could even be imposed for certain repeated violations.

It should be noted that Decree 15/2020/ND-CP on penalties for administrative violations in the fields of postal services, telecommunications, radio frequency, information technology, and electronic transactions also provides various penalties for violations of personal data protection. It is unclear how these provisions will be treated, or whether they would be invalidated, when this Draft is promulgated. If they are invalidated, the penalties stipulated in the Draft should be comprehensive enough to cover all possible violations.

11. New Regulation on Data Processing for Research and Statistical Purposes

The Draft has a new provision for data processing for research and statistical purposes, under which consent from data subjects is not required, as long as the personal data is de-identified and/or encrypted and the processors apply data protection measures and fulfill stipulated conditions. Personal data processing results for research or statistical purposes may not be synthesized into personally identifiable information of a specific data subject.

12. New Regulation on Automated Data Processing

The Draft also has a new provision on automated data processing, applicable only in the process of participating in or carrying out a contract, provided that the data subjects are informed and have consented to the automated data processing before execution.

 

The Draft is open for public consultation until April 9, 2021, and is expected to face resistance from domestic and international business associations, particularly with regard to the registration and data localization requirements, which many view as overly burdensome and unrealistic in practice. In addition, before the decree is finally promulgated, questions will need to be answered as to what will happen to existing regulations on personal data protection, some of which conflict with provisions of the Draft.

As a result, further amendments are likely to be made before the decree is finalized, though it is uncertain to what degree they will affect the content of the Draft. Given these challenges, the aggressive goal of an effective date of December 1, 2021, may prove to be infeasible. We will continue to monitor the progress of the Draft and provide updates to our clients.

RELATED INSIGHTS​ 

June 25, 2026
On June 18, 2026, Thailand’s Office of the Personal Data Protection Committee (PDPC) published two notifications in the Government Gazette establishing Thailand’s first formal certification framework for personal data protection standards under the Personal Data Protection Act B.E. 2562 (2019) (PDPA). The notifications, which took immediate effect, introduce a voluntary certification framework aimed at promoting accountability, strengthening organizational data protection governance, and aligning Thailand more closely with international frameworks that recognize certification as a key compliance tool. Certification Criteria The first notification sets out the assessment criteria for organizations seeking certification. Applicants must undergo an evaluation against a framework comprising four assessment categories, 10 focus areas, and 128 assessment criteria covering key elements of a privacy management program. These include: Organizational oversight and internal policies and procedures. Human resource development, including staff training and awareness programs. Clearly defined operational processes and procedures covering data subject rights, transparency obligations, records of processing activities, and lawful basis management, as well as contractual safeguards such as data-processing and data-sharing agreements and risk assessments, including Data Protection Impact Assessments. Technical measures encompassing data security controls and breach response capabilities Based on the assessment results, organizations may be awarded either a PDPA Compliance Certificate or a higher-level PDPA Certificate accompanied by a certification mark. Application and Assessment Process The second notification establishes the application and assessment process for obtaining certification. Eligible applicants include government agencies and private-sector entities that demonstrate sufficient privacy governance maturity and meet the prescribed eligibility requirements. Applicants must submit their applications along with supporting documentation for review. Upon receiving an application, the Office of the PDPC will conduct a detailed evaluation, which may include both documentary review and on-site inspections. Incomplete applications may be rejected, though applicants are typically given a limited period to correct deficiencies before a final decision
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
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
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