Catalog record · Fraud Detection & AML
Stage as of May 4, 2026 · historical report, not live reconfirmation.
Cross-bank scam-detection proof of value
Primary workflow source. A named organization's workflow supported by a reviewed primary source. Stage is reported separately; this label does not establish measured outcomes or independent validation.
Last researched Oct 26, 2026. Source access and reported stage are recorded below; deployment evidence does not establish ROI.
What the research supports
MAS is testing AI/ML detection of risky accounts and transactions using historical data pooled from five banks.
- Reported stage
- Not assessed
- Technology
- Machine Learning
- Business function
- Middle Office
- Impact (legacy label)
- Not labeled
- Catalog date · unconfirmed
- Not reported
- Imported
- Oct 29, 2026
- Last researched
- Oct 26, 2026
Measures & evidence
No quantified measure recorded. This is a gap in the evidence, not a finding of no value.
Documented vendor relationships
No vendor relationship has been linked to this specific workflow in the curated overlay. This does not mean it was built without vendors.
See the company’s documented relationshipsDeployment evidence & limits
Explicit Proof-of-Value; performance evaluation and possible expansion remain future-facing. Status as of 2026-05-04.
Stage is as reported in the cited evidence. Current operating status has not been independently reconfirmed; the research date is an editorial review date.
Deployment evidence does not establish measured effectiveness or independently validated ROI.
Recorded dependencies
- Secure shared environment; hashed account identifiers; controlled access; deletion after experiment
Source register
- MAS Collaborates with Banking Industry to Harness Artificial Intelligence in the Fight Against Financial Crimesgpc.gov.sg · opens in a new tab
Monetary Authority of Singapore · regulator · full-text · Published 2026-05-04
Research lanes: regulatory_public_finance · Batch global-discovery-2026-10-26. Coverage and remaining gaps