Cybersecurity Analysis in Thailand: Trends, Challenges, and Policy Insights from Case Studies of SMEs, Mobile Banking, and Port Infrastructure
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Abstract
This academic article analyzes the emerging trends and challenges in cybersecurity within the context of Thailand, focusing on three key sectoral case studies: small and medium-sized enterprises (SMEs), mobile banking, and port infrastructure. Amid the rapid transformation toward a digital economy, these sectors face growing cyber risks that could undermine the country’s economic security. The article advocates for the adoption of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), to enhance threat detection, incident response, and predictive risk analytics. Nonetheless, Thailand continues to encounter critical obstacles, including limited technical readiness, fragmented governance, and a relatively low rate of AI adoption. The article concludes by proposing strategic policy recommendations to strengthen national cyber resilience through the integration of regulatory frameworks, technological innovations, and multi-stakeholder collaboration-ensuring a sustainable and secure cybersecurity environment for Thailand’s digital future.
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