Digital financial crimes have caused widespread damage to the public and affected the whole economy. Scammers employ diverse methods and techniques, using bank accounts or electronic money accounts as tools to receive and transfer illicit funds. 

In response, the committee under the Royal Decree on Measures to Prevent and Suppress Technological Crime, B.E. 2566 (2023), has approved the Central Fraud Registry (CFR) system for exchanging information about related customer accounts and transactions. The data are utilized to support investigations and legal proceedings against criminals, as well as to monitor the effectiveness of the digital fraud management process.

However, enhancing the end-to-end management approach—from prevention, monitoring, and detection to management and resolution of digital fraud incidents, including assisting affected customers—requires regular review and improvement of detection processes to be more proactive. It also involves implementing data analytics and AI/ML models to better track and detect anomalies. The effectiveness of digital fraud management and the design of countermeasures must be based on empirical evidence, utilizing data to develop in-depth analytical models.