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

April 2, 2026

Thailand Insurance Industry: AI and Privacy Regulatory Updates

Thailand’s Personal Data Protection Act (PDPA) enforcement has entered a new phase, and the insurance industry is squarely in the regulatory spotlight. The Personal Data Protection Committee (PDPC) considers insurers “large-scale” processors of sensitive data—including health records, financial information, and biometric data—making the sector a focal point for enforcement action. In August 2025 alone, the PDPC issued administrative fines totaling THB 21.5 million, and fines for individual violations have ranged from THB 50,000 to THB 2 million. The PDPC has also deployed its “Eagle Eye Crawler,” an AI-driven surveillance tool that monitors websites around the clock for data leaks and noncompliant privacy notices. This article highlights the key regulatory developments directly affecting insurers and outlines practical steps toward compliance.

What Has Changed: OIC and PDPC Alignment

The Office of Insurance Commission (OIC) has synchronized its sector-specific rules with the PDPA through the Notification on Customer Personal Data Protection (No. 2) B.E. 2568 (2025). The combined effect of the PDPC’s general enforcement push and the OIC’s sectoral guidance creates four critical compliance areas for insurers.

  • Consent unbundling. Consent for marketing must be strictly separated from the core insurance contract; bundling marketing consent into the policy application is no longer permissible.
  • Agent and intermediary oversight. Insurance intermediaries are generally classified as data processors, meaning that insurers—as data controllers—must provide specific written instructions and security protocols to all agents and brokers. A 2026 enforcement trend shows controllers being held liable for the “weak security” of their vendors and downstream processors.
  • Enhanced privacy notices. Insurers must provide a summary privacy notice alongside the full policy, plainly stating categories of data, purposes, lawful bases, disclosure recipients, cross-border transfers, retention periods, data subject rights, and easy marketing opt-out channels.
  • DPO registration and ROPA. All organizations involved in “regular or systematic monitoring of data subjects on a large scale”—expressly including insurance—must appoint and register a data protection officer (DPO). The absence of a registered DPO or an outdated record of processing activities (ROPA) that fails to map agent-level data flows is now considered a high-risk compliance gap.

AI in Insurance: Draft PDPC Guidelines

The PDPC’s draft AI guidelines carry particular significance for insurers. The guidelines single out insurance risk assessments as an example of automated decision-making that produces legal effects or significantly affects data subjects. Organizations using AI-driven tools for underwriting, claims processing, or policy recommendations must implement a human-in-the-loop mechanism with actual authority to overturn AI decisions and must document processes for data subjects to request review. A data protection impact assessment (DPIA) is required for high-risk AI projects, including automated decision-making with legal effects and large-scale processing of sensitive data. Leakage of sensitive health or financial data through AI systems is categorized as high risk, requiring notification to both the PDPC and affected data subjects without delay.

Cross-Border Data Transfers

For multinational insurance groups, a binding corporate rules (BCRs) regulation became fully effective on February 17, 2026, providing a formal mechanism for intragroup cross-border transfers. Groups that already hold GDPR-approved BCRs may use a “fast-track” process by submitting their existing BCRs together with a Thailand addendum. Alternatively, Standard Contractual Clauses based on the ASEAN Model Contractual Clauses may be used for transfers to third-party reinsurers or service providers outside Thailand.

Practical Compliance Steps

Given the current regulatory landscape, insurers should consider the following immediate and near-term actions.

  • Governance and organization. Register a DPO with the PDPC if not already done, and ensure that the DPO has a direct reporting line to senior management with sufficient authority and resources to fulfill the role. Update the ROPA to comprehensively map all processing activities, including data flows through agents, brokers, and third-party administrators.
  • Consent architecture overhaul. Redesign application forms and digital onboarding flows so that marketing consent is presented as a separate, clearly labeled opt-in, entirely distinct from the consent required for the insurance contract itself. Ensure that refusal to consent to marketing does not affect the customer’s ability to obtain coverage.
  • Agent and vendor compliance program. Issue updated written instructions and security protocols to all insurance intermediaries classified as data processors. Review and strengthen data processing agreements with all third-party processors, including specific provisions for PDPA responsibilities, security standards, audit rights, breach notification obligations, and end-of-term data deletion or return. Implement a periodic audit cycle—rather than relying on static contractual commitments—to verify vendor compliance.
  • Privacy notice refresh. Prepare a concise summary privacy notice for distribution alongside insurance policies, covering all required elements under the OIC guidance. For digital tele-sales, implement prerecording disclosures informing customers that their voice or image data will be processed under the PDPA.
  • AI and automated decision-making readiness. Conduct DPIAs for all AI-driven underwriting, claims, and risk-assessment tools currently in use or under development. Establish a documented human-in-the-loop process for any automated decision that produces legal effects on policyholders, including a clear escalation path and a mechanism for data subjects to contest decisions.
  • Breach response preparedness. Ensure that internal incident response plans can meet the 72-hour notification deadline to the PDPC, with particular attention to AI-related data leakage scenarios.
  • Cross-border transfer mechanism. For multinational groups, evaluate whether BCR certification—including the fast-track route—or SCCs provide the most efficient path for data transfers to group entities or reinsurers abroad.

Outlook

Thailand’s insurance sector faces a significantly more demanding compliance environment as PDPA enforcement matures and OIC alignment tightens. The convergence of stricter consent rules, expanded liability for intermediary conduct, new AI governance expectations, and a workable cross-border transfer framework means that insurers must move from reactive compliance to proactive data governance. Organizations that address these areas systematically—beginning with DPO registration, ROPA updates, and consent architecture—will be best positioned to manage regulatory risk and maintain the trust of their policyholders.

RELATED INSIGHTS​ 

January 13, 2026
On January 9, 2026, Thailand’s Securities and Exchange Commission (SEC) filed a criminal complaint with the Economic Crime Suppression Division (ECD) against five individuals for unauthorized operation of a digital-asset dealer business under the Emergency Decree on Digital Asset Businesses B.E. 2561 (2018). This precedent-setting case signals that the regulator is willing to pursue crypto enforcement against natural persons even in the absence of a licensed platform entity. Background and Implications The case follows the SEC’s October 2025 public warning about the use of iris-scanning technology in exchange for certain digital tokens. In its warning, the SEC cautioned that exchanging or trading these specific tokens with unlicensed service providers exposes users to heightened fraud, scam, and money laundering risks. Unlike prior regulatory enforcement matters, which involved platform-level administrative fines for operational or compliance failures, this case targets misconduct by individuals who may not be professional traders but openly advertised their willingness to buy these tokens from the public, opened individual over-the-counter (OTC) trade channels for these tokens, and facilitated off-exchange transactions in a manner resembling ordinary commercial dealing. This enforcement action establishes a clear precedent that natural persons engaging in public-facing digital-asset dealing may face criminal liability under Thai law, even without operating through a corporate or licensed platform structure. Outlook The alleged offenders may not settle this crime by payment of fines. Following the SEC’s referral, the ECD will undertake further investigation, after which prosecutors may review the case and proceed to court. The SEC has stated that it will cooperate fully with enforcement agencies throughout the criminal enforcement process.
January 9, 2026
Vietnam has taken a decisive step into the global artificial intelligence regulatory landscape with the promulgation of the Law on Artificial Intelligence No. 134/2025/QH15 (AI Law), adopted on December 10, 2025, and effective from March 1, 2026. As one of the earliest comprehensive, standalone AI statutes in Southeast Asia, the AI Law signals Vietnam’s ambition to position itself as both an innovation-friendly and governance-conscious AI market. In doing so, the legislature has also streamlined Vietnam’s AI regulatory architecture. The AI Law repeals most AI-related provisions previously embedded in the Law on Digital Technology Industry No. 71/2025/QH15, consolidating AI governance under a single, unified legal framework. This structural move underscores an intent to provide greater regulatory clarity and coherence for businesses operating across the AI value chain. Against this backdrop, the key question for AI developers, providers, deployers, and governance teams is how the new risk-based framework will shape compliance expectations, operational decisions, and governance design in practice. This article examines the new AI Law through that practical lens, focusing on what it means for AI businesses operating in or into Vietnam. Scope of Application The AI Law applies broadly to Vietnamese organizations and individuals, as well as foreign entities that participate in AI-related activities within Vietnam. The law expressly excludes AI activities conducted solely for national defense, security, and cryptography purposes. A defining feature of the AI Law is that it regulates by role, not by industry. It distinguishes between: Developers, who design, build, train, test, or fine-tune AI models and have direct control over the technical methods, training data, or model parameters; Providers, who place AI systems on the market or put them into use under their own names; Deployers, who use AI systems under their control in professional, commercial, or service-provision activities; Users, who interact with AI
January 9, 2026
Thailand continues to advance its legal and regulatory framework for the technology sector, with several key laws undergoing review and proposed amendments. These developments reflect Thailand’s broader efforts to ensure that its regulatory landscape keeps pace with rapid technological change and aligns more closely with international standards and best practices. The following are key legal developments and proposed legislative reforms in 2026 that are expected to impact businesses operating in the technology sector and the broader Thai business landscape. Data Privacy and Cybersecurity Personal Data Protection Act B.E. 2562 (2019) Following the full enforcement of Thailand’s Personal Data Protection Act (PDPA) in June 2022, businesses and practitioners have identified practical implementation challenges and interpretative issues. These challenges were reflected in an effectiveness assessment conducted by the Personal Data Protection Committee (PDPC) in late 2024. The PDPC published a set of principles for public consultation to identify issues and directions for potential amendments to the PDPA. Key issues: Emerging issues include clarifying the definitions of “data controller,” “data processor,” and “criminal record”; revisiting the scope of sensitive personal data to better reflect Thailand’s context; proposing amendments to the hierarchy of legal bases to avoid misconceptions of consent as the default legal basis; and clarifying the required level of expressiveness for explicit consent, as well as rules for collecting personal data from other sources. Current status: The first round of public consultation has concluded. Next steps: The proposed amendments are proceeding to a revised draft following the consultation outcomes. Cybersecurity Act B.E. 2562 (2019) Thailand is moving forward with proposed amendments to enhance the effectiveness of its national cybersecurity framework, as evolving digital technologies bring new risks such as misinformation, system intrusions, and attacks on critical infrastructure, making cybersecurity a national priority. Key issues: The amendments aim to clarify and strengthen
January 8, 2026
Thailand’s Digital Government Development Agency (DGA) has proposed new standards that would require government agencies to select cloud services exclusively from a preapproved shortlist of providers. The draft Digital Government Standards re: Cloud Service Provider Standards aims to strengthen procurement confidence and reduce risks associated with selecting cloud service providers that do not meet the required standards. A public hearing period on these standards concluded on December 27, 2025. The DGA will now review submitted comments and consider revising the standards accordingly. Shortlisted Cloud Service Provider Tiers The draft standards establish three tiers of cloud service providers based on their assessed service capability levels, core qualifications, and certifications. The DGA sets qualification requirements for each tier, and it is at the discretion of each agency to select the tier of cloud service provider that best suits its operational needs, as follows: Tier 1 cloud service providers are suitable for providing services involving disclosable official data. Tier 2 cloud service providers are suitable for handling official data and protected data, such as personal data, which requires a high-security public cloud (e.g., virtual private cloud). Tier 3 cloud service providers are suitable for providing services to agencies with specific regulatory and security requirements that handle highly protected data, such as the national security system. These providers must offer sovereign or hybrid cloud as stipulated by the Ministry of Digital Economy and Society. All tiers of cloud service providers must be legal entities incorporated under Thai law and can be authorized distributors of offshore cloud service providers. However, each tier will be subject to different requirements, including infrastructure obligations. Government agencies are encouraged to select a cloud service provider appropriate for their intended use. For example, if a government agency intends to procure cloud services for operating applications that process personal data,