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

December 24, 2019

Update on the Implementation of Vietnam’s New Cybersecurity Law and Status of Implementing Decrees

Vietnam’s new Cybersecurity Law was promulgated on June 12, 2018 and came into effect on January 1, 2019, with a majority of its provisions enforceable from the effective date. However, there are still certain provisions of the law which need to be further guided by implementing regulations and guidelines. There are currently draft guidelines under consideration, including:

  • A decree to implement in detail some provisions of the law, which includes guidance on the important and controversial article 26 on data localization (to guide articles 10.4, 12.5, 23.1, 24.7, 26.4 and 36.5, among others);
  • A decree to regulate in detail the procedures for application of cybersecurity protection measures (to guide article 5.2 of the law); and
  • A decision of the prime minister on promulgation of the list of national security information systems (to guide articles 10.3 and 43.3 of the law)

As of the time of writing this update, none of the three proposed regulations has been promulgated. The draft decree that most concerns industry insiders is the first, which regulates data localization. The draft is now in the Office of the Government for consideration and approval but there has been no official news as to when it will be issued. Although there was some indication earlier in 2019 that the Government was expected to pass the decree by the end of the year, an unofficial source said that it appears to have now been delayed to Q1 of next year, 2020. The latest accessible version of the draft decree is the version dated August 21, 2019.

The Ministry of Public Security’s (MPS’s) process of drafting this decree has demonstrated the ministry’s willingness to be open to industry and public consultation, because the issues surrounding the data localization requirement have generated significant concerns and numerous comments from international organizations and companies. According to reports, up to September 2019, the MPS sent 216 letters to relevant ministries and agencies, both at the central and local levels, as well as organizations and experts for comments. Based on these consultations, the MPS has made some changes. For example, it made changes to the specifications of different types of data that needs to be stored in Vietnam and added more services which will give rise to a data localization requirement. In addition, the MPS reduced the number of conditions that trigger data localization from four to just three (in particular, leaving out the ambiguous condition of letting service users continue to carry out prohibited acts). However, it is still uncertain whether the final version the government will pass will be much different from or improve this version.

It is worth re-emphasizing that the most problematic provision of the Cybersecurity Law is article 26.3, which relates to the requirements of data localization. The article states:

“Domestic and foreign enterprises providing services on telecommunication networks or the internet or value-added services in cyberspace in Vietnam with activities of collecting, exploiting, analyzing, and processing personal information data, data on the relationships of service users, or data generated by service users in Vietnam must store such data in Vietnam for the period prescribed by the government. Foreign enterprises mentioned in this clause must open branches or representative offices in Vietnam.”

The draft decree has narrowed down this broad language. Based on the draft decree, storing data and/or having branches or representative offices in Vietnam is required for foreign service providers only for the protection of national security, social order and safety, social ethics and health of the community, and when there are legal bases for a full determination on the three following factors:

  • Such enterprise provides regulated services:
  • Such enterprise carries out activities of collecting, exploiting [using], analyzing and processing the regulated types of data; and
  • Such enterprise has been warned that the services it provides are used to commit a breach of the laws of Vietnam and it does not take any measures for avoiding, dealing with, fighting against or preventing such breach, or resisted, obstructed, or ignored requests from the relevant authorities.

Regulated services include: telecom services; services of data storage and sharing in cyberspace; supply of national or international domains to service users in Vietnam; e- commerce; online payment; intermediary payment; service of transport connection via cyberspace; social networking and social media; online electronic games; and services of providing, managing or operating other information in cyberspace in the form of a message, phone call, video call, email or online chat.

Regulated types of data include:

  • Data on personal information of service users in Vietnam, including data with information in the form of symbols, writing, numbers, images, sounds or similar forms in order to accurately determine the identity of any one person;
  • Data generated by service users in Vietnam, including account names for use of services, duration of use of services, credit card information, email addresses, IP addresses for the latest login and logout, and registered telephone numbers attached to the account or data relevant to the data on personal information of service users; and
  • Data on the relationships of service users in Vietnam, including friends, and groups with which the users connect or interact.

Relevant authorities include the Department for Cybersecurity and Prevention of High-tech Crime under the Ministry of Public Security and/ or the Cyber Task Force, which comprises the Department for Cybersecurity and Prevention of High-tech Crime under the Ministry of Public Security and the Cyber Operations Command under the Ministry of National Defense.

If an enterprise were required to store data or have a branch or representative office in Vietnam, it would receive an MPS decision requiring it to store data and/or establish a branch or representative office in Vietnam. Within six months from the date of the MPS’s decision, the enterprise must complete the storing of data and/or establishing of a branch or representative office in Vietnam. Compared to the previous draft, this draft has significantly shortened this period from 12 months to six months, which is a disadvantage for enterprises. The period for storing data will start from the date on which the enterprise receives a request for storage of data until such request ends. The period for the storage of data will be at least 12 months. The period for having a branch or representative office in Vietnam will start from the date on which the enterprise receives a request until the enterprise no longer operates in Vietnam or provides regulated services in Vietnam.

How has the Cybersecurity Law affected foreign service providers since it came into effect nearly 12 months ago? Clearly, foreign service providers now face more risks if they do not take steps to restrict sensitive content or respond to takedown requests. According to reports, a senior official at the Ministry of Information and Communications recently commented that foreign companies’ compliance relating to content issues has greatly increased. For example, according to the official, cooperation with takedown requests in some areas related to content has increased from 20-30% to nearly 80-90%. In addition, the official added that it is also expected that the enforcement of the Cybersecurity Law will result in greater compliance among service providers when the authorities request them to provide service users’ identities if a violation of the law is detected.

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