Singapore Police and Major Banks Avert $24 Million in Scam Losses Using Robotic Process Automation During Two-Month Surge

Singapore police and 5 major banks disrupt 300+ scams using RPA technology. Discover how $24 million in losses were prevented in early 2026.

By: AXL Media

Published: Mar 4, 2026, 7:36 AM EST

Source: The information in this article was sourced from AsiaOne

Technological Breakthrough in Scam Intervention

The Singapore Police Force (SPF) has successfully concluded a two-month-long anti-scam operation that utilized "innovative" technology to safeguard citizens' finances. Running from New Year’s Day to February 28, 2026, the operation targeted various fraudulent activities, including investment fraud and government official impersonation. The core of this success was the deployment of Robotic Process Automation (RPA), which allowed for a rapid, automated exchange of information between the police's Anti-Scam Centre (ASC) and the private banking sector.

Partnership With Major Financial Institutions

The effectiveness of the operation relied on a close collaboration with five of Singapore's leading banks: DBS, GXS, OCBC, Standard Chartered Bank, and UOB. By integrating RPA into their shared workflows, the ASC and these financial institutions were able to emulate human digital interactions at much higher speeds. This integration allowed the banks to flag suspicious transaction patterns and immediately share those insights with law enforcement, who could then process the data and initiate interventions without the delays associated with manual human review.

Quantifiable Impact: $24 Million Saved

According to a police news release on March 4, the operation resulted in the disruption of more than 300 active scam attempts. The timely interventions prevented approximately $24 million in potential losses that victims were on the verge of transferring to scammers. During the two-month window, authorities dispatched more than 2,200 SMS alerts to over 2,100 unique bank customers, warning them that their accounts were likely being targeted by fraudulent actors.