Thailand’s draft AI Law was introduced on September 5, 2025, and establishes a risk-based regulatory approach that requires businesses to perform risk assessments, report on high‑risk AI deployments, and assign responsibilities for model security and misuse prevention.

On September 12, 2025 the BOT issued AI Risk Management Guidelines that expect financial service providers to implement security protocols, model integrity checks, and internal audits; these guidelines inform pilot design and production controls for banks and insurers.

As of June 2025 the national AI strategy was in place but under-resourced, and the country faces an 80,000-person AI talent gap. Acting now prevents compliance backlogs and reduces exposure while sandboxes and training programs outlined in 2025 can accelerate safe deployment.

The ETDA’s June 2025 playbook promotes sandboxes and testing centers to evaluate AI security in controlled environments. Sandboxes let you simulate adversarial attacks and usage scenarios without risking live systems, enabling safer validation before scale-up.

Early 2025 pilots applying BOT-style testing reduced fraud risks by 25%, demonstrating that focused security testing can cut operational risk. With targeted training and capability building, 2025 analyses project meaningful reductions in the talent gap and improved long-term compliance.

We map your systems to the draft AI Law’s September 5, 2025 obligations and to sector-specific guidance like the BOT’s September 12, 2025 guidelines, then deliver prioritized controls, reporting templates, and training that satisfy both sets of expectations.