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January 24, 2024

IAPP Global Legislative Predictions 2024 – Thailand

International Association of Privacy Professionals

Thailand’s Personal Data Protection Act came into full effect on 1 June 2022 and various subordinate regulations have since been issued by the Personal Data Protection Committee. These include regulations on security measures to be implemented by data controllers, data breach notification requirements, a mandatory obligation to appoint a data protection officer when the processing activity requires regular monitoring of personal data or a system due to the large scale of personal data, administrative measures and data processors’ record of processing activities.

As some areas under the PDPA still require further clarifications, a series of public consultations for the remaining draft subordinate regulations is anticipated in 2024. Potential areas include data protection impact assessments and cross-border transfers of personal data, which are crucial for organizations and particularly for entities with establishments in other jurisdictions.

PDPA enforcement by Thai regulators was silent until the last quarter of 2023, when the PDPC published details about complaints that have been lodged to the Expert Committee. The committee is designated by virtue of the PDPA and has the power to make determinations related to imposing administrative fines and other penalties. Enforcement in 2024 is expected to become more active and potentially more serious, which means organizations should pay closer attention to ensure compliance with the PDPA.

Similar to the GDPR, the PDPA also has extraterritorial effect. Once the subordinate regulation on international cooperation has been issued by the PDPC, this should clarify how PDPA enforcement against organizations located outside of Thailand will be conducted by Thai regulators.

With respect to sector-specific data protection legislation, in September 2023, Thailand’s National Broadcasting and Telecommunications Commission issued the Notification of the NBTC Re: Measures to Protect Telecommunications Service Users’ Rights in regard to Personal Data, Privacy Rights, and Freedom of Telecommunications, which replaces the previous notification. The notification aims to enhance the protection of personal data and privacy rights for telecommunication users and to align its data protection requirements with the provisions of the PDPA. The development of specific data protection laws for other sectors is still silent.

 

Athistha (Nop) Chitranukroh and Gvavalin Mahakunkitchareon provided this update as part of the “IAPP Global Legislative Predictions 2024” from the International Association of Privacy Professionals. Tilleke & Gibbins also provided the Vietnam update.

RELATED INSIGHTS​ 

April 9, 2026
As part of its ongoing public consultation process for the development of new practical guidelines under the Personal Data Protection Act B.E. 2562 (2019) (PDPA), Thailand’s Personal Data Protection Committee (PDPC) held a two‑day public hearing on April 1–2, 2026. The hearing followed an online questionnaire and stakeholder engagement activities conducted in March 2026 and reflects the PDPC’s continued efforts to develop guidance that aligns international regulatory standards with Thai operational realities. The public hearing provided a forum for participants from both the public and private sectors to exchange views with the PDPC on the proposed guidance so that it responds to the needs of the business community while supporting effective and balanced enforcement of the PDPA. The PDPC emphasized that the consultation process is part of a wider policy objective to build trust in the convenient, secure, and internationally aligned exchange of data. Structure of the Consultation Process According to the PDPC, the initiative to develop the draft PDPA guidelines is being implemented through three core phases: Review of international best practices. The PDPC has conducted a comparative review of data protection guidance and regulatory approaches in jurisdictions with internationally recognized standards, including Singapore, the United Kingdom, the European Union (EU), and Japan. These materials are intended to serve as a reference point for developing practical recommendations across key subject areas under the PDPA. Identification of practical issues and challenges. To ensure that the guidelines respond to real‑world compliance challenges in Thailand, the PDPC has gathered views from a broad range of stakeholders across the public sector, the private sector, and the general public. This phase included focus group discussions and questionnaires aimed at identifying areas to provide organizations with greater clarity and consistency on regulatory expectations. Preparation of draft guidelines. Insights from the comparative study and stakeholder
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April 3, 2026
Thailand’s Securities and Exchange Commission (SEC) has established a comprehensive governance framework for the use of artificial intelligence and machine learning (AI/ML) in the capital markets. The framework provides guidance to capital market business operators on understanding the risks associated with AI/ML implementation and adopting appropriate practices to build public confidence in Thailand’s capital markets. While the guidelines are principle-based rather than prescriptive, they reflect the SEC’s expectations for responsible AI/ML governance and are likely to inform supervisory activities and industry standards going forward. Scope The framework applies to capital market business operators supervised by the SEC. This includes, for example, securities and derivatives firms, asset management companies, mutual fund and private fund managers, investment advisors and investment consultants (including robo-advisory service providers), derivatives intermediaries, and other licensed intermediaries and market operators in the Thai capital markets that deploy AI/ML in their operations. Core Principles of the Guidelines The framework is presented as a best-practice manual rather than prescriptive regulation, providing guidance that regulated entities may apply to their AI/ML governance and risk management as appropriate. While currently nonbinding, the guidelines signal the SEC’s expectations for the sector, particularly in relation to other binding SEC regulations such as those covering IT risk management and market conduct. The guidelines name four core principles for AI/ML deployment: Fairness: Design and develop AI/ML with consideration for fairness, equality, and social diversity to prevent discrimination against individuals or groups. Legal and ethical compliance: Ensure AI/ML use aligns with applicable laws, ethical standards, and organizational values and policies. Accountability: Establish clear responsibility—both internally and externally—for AI/ML activities and outcomes. Transparency: Provide adequate disclosure to users about AI/ML use, including explainability of decisions and traceability of activities. AI/ML Best Practices The guidelines prescribe best practices across four stages of the AI/ML lifecycle, as described below.
April 2, 2026
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