PDPA (Personal Data Protection Act) is a law in Thailand that regulates the collection, use, storage, and transfer of personal data, serving as Thailand's equivalent of the EU's GDPR in terms of data protection legislation.
For companies operating in Thailand, PDPA compliance is unavoidable. This fully enforced law applies to all organizations handling personal data within Thailand—not only Thai legal entities, but also foreign companies that process data of Thailand-based residents. Similar to the GDPR, it mandates obtaining consent from data subjects (individuals), prohibits use beyond the stated purpose, and requires notification of data breaches within 72 hours. At the same time, there are differences from the GDPR in the interpretation of Lawful Basis and enforcement frameworks, meaning that "GDPR compliance does not automatically equal PDPA compliance." In the context of AI adoption, the handling of personal information contained in training data becomes a key issue. When training models using customer data, it is necessary to clearly state the purpose and obtain consent, and the choice of anonymization or pseudonymization methods also becomes a governance-level decision. Penalties for violations can reach a maximum of 5 million baht (approximately 20 million yen), which, while not as substantial as GDPR fines, cannot be taken lightly given the associated reputational risks. Japanese companies with operations in Thailand are required to coordinate with local legal counsel to ensure appropriate compliance.


ATDD (Acceptance Test-Driven Development) is a development methodology in which the entire team defines acceptance test criteria before development begins, automates those tests, and then proceeds with implementation.

A2A (Agent-to-Agent Protocol) is a communication protocol that enables different AI agents to perform capability discovery, task delegation, and state synchronization, published by Google in April 2025.

MCP (Model Context Protocol) is a standard protocol that enables AI agents to connect to external tools, databases, and APIs. It is an open standard developed by Anthropic and donated to the Linux Foundation's Agentic AI Foundation.


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TDD (Test-Driven Development) is a development methodology in which tests are written before implementation code, repeating a short cycle of test failure (RED) → implementation (GREEN) → refactoring (Refactor).