Catalog record · Fraud Detection & AML
Stage as of source date not established · historical report, not live reconfirmation.
Machine-learning identification of potential scam websites
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
FCA uses machine learning to screen newly registered web domains for potential financial scams.
- Reported stage
- Production
- 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
FCA speech states it is using the system. Status date not established.
Stage is as reported in the cited evidence. Current operating status has not been independently reconfirmed; the research date is an editorial review date.
Historical evidence; current model, scale and effectiveness require later disclosure.
Source register
- AI: Moving from fear to trustfca.org.uk · opens in a new tab
Financial Conduct Authority · regulator · full-text · Publication date not recorded
Research lanes: regulatory_public_finance · Batch global-discovery-2026-10-26. Coverage and remaining gaps