Far Eastern International Bank
AI-supported multi-layer fraud control for virtual asset flows
Far Eastern International Bank says its fraud controls blocked over NT$300 million in suspicious transactions
Problem
Far Eastern International Bank handles fiat flows for virtual asset exchanges in Taiwan. These flows carry fraud risk, and many potential victims either do not report a scam or do not believe they were deceived.
Approach
The bank built a multi-layer framework with warnings before transactions, interception during them and tracking afterwards. It says it adopted AI to analyse transaction behaviour, amounts and timing, together with external risk databases and cross-institution data. Exchanges send real-time alerts by API, and the bank works with the National Police Agency's Criminal Investigation Bureau. Branch staff can also stop suspicious transactions.
Results
Takeaway
The bank counts blocked and returned funds as the results of the whole framework, which combines AI analysis with police data sharing and branch staff. The page does not say how much AI alone contributed.
Categories
- Size
- Large enterprise
- Industry
- Finance and insurance
- Business function
- Finance, risk and legal
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Goal
- Quality and risk
- Evidence
- Company's own claim
Sources
Source summaries
TechNews reports on the bank's cross-sector anti-fraud network with virtual asset exchanges. It says the bank adopted AI to analyse transaction behaviour, amount and timing. It gives bank-stated figures: over NT$50 million returned to victims by October 2025, over NT$300 million of suspicious transactions blocked by its own controls, and 70% of flagged accounts turned into alert accounts within 90 days.
Full details are in the original sources.