As Thai enterprises deploy AI-powered features, the OWASP Top 10 for LLM Applications 2025 provides the framework for testing these AI-specific risks. Thailand's PDPA enforcement — which has specifically penalised insufficient security measures — makes AI security testing particularly relevant for applications processing personal data.
The 2025 edition covers ten risk categories. Key ones include Prompt Injection (manipulating AI behaviour through crafted inputs), Sensitive Information Disclosure (extracting internal data), Excessive Agency (AI tools performing unintended actions), and two new entries: System Prompt Leakage and Vector and Embedding Weaknesses.
For Thai organisations, the PDPC's demonstrated willingness to fine for inadequate security measures (THB 21.5 million across five cases announced August 2025) means that deploying AI features without security testing carries real regulatory risk. AI applications that process personal data fall within the PDPA's scope, and any breach arising from AI-specific vulnerabilities — data leakage via prompt manipulation, for example — would trigger notification and potential penalty obligations.
Our AI/LLM VAPT tests against the complete OWASP Top 10 for LLM Applications 2025, combining traditional application security with AI-specific attack techniques to find the vulnerabilities that conventional testing misses.
*This article references the OWASP Top 10 for LLM Applications 2025 and verified Thai regulatory information.*