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

Thailand is preparing to offer new tools for intellectual property enforcement as the Electronic Transactions Development Agency (ETDA) recently released for public consultation a draft notification requiring social media platforms to verify user identities and conduct know-your-customer (KYC) checks on advertisers. The draft Notification of the Electronic Transactions Commission on Measures to Prevent Technological Crimes for Social Media Service Providers, which is to be issued under the Emergency Decree on Measures for the Prevention and Suppression of Technological Crimes B.E. 2566 (2023), as amended in 2025, primarily aims to combat online fraud and technology-related crimes. However, its new obligations also provide IP owners with valuable tools to identify anonymous infringers. Key Regulatory Mandates The draft notification imposes several verification requirements on social media platforms operating in Thailand. These requirements also strengthen IP rights holders’ ability to identify anonymous infringers, as platforms must: Verify user identities through registered phone numbers and link all accounts to verifiable identities. Conduct KYC checks on advertisers, including individuals, companies, and any third-party payers. Perform heightened identity checks for high-risk or repeat offenders before publishing advertisements. Promptly remove content flagged by the Anti-Technology Crime Division and prescreen advertisements for prohibited or high-risk content. How IP Owners Can Use This Notification for Enforcement The phone number–based verification requirement enables IP owners to work more effectively with enforcement authorities in tracing individuals or entities responsible for infringing content. The comprehensive advertiser KYC obligations, including mandatory disclosure of third-party payment sources, create a clear audit trail even when bad actors attempt to obscure their identity through intermediaries or shell accounts. This traceability is essential for pursuing damages and dismantling organized counterfeit operations. The ETDA is now considering adjustments to the draft notification after receiving comments during the public consultation period, which ended on February 2, 2026. Following finalization