The Financial Action Task Force (FATF) has published its October jurisdiction statements. This update explains the list changes and a UK warning about artificial intelligence (AI) investment scams, with practical questions for compliance teams.
FATF removes four jurisdictions from increased monitoring
Verified update. FATF’s 30 October statement removes Bulgaria, Côte d’Ivoire, the Democratic Republic of the Congo and Monaco from increased monitoring. Its separate high-risk statement retains countermeasures for DPRK and Iran, and enhanced due diligence proportionate to risk for Myanmar. FATF says it will consider countermeasures for Myanmar if there is no further progress by February 2027.
FATF does not call for enhanced due diligence solely because a jurisdiction is under increased monitoring; it calls for a risk-based approach. The separate high-risk statement sets out different measures.
Our learning point. Treat a source update as a documented review trigger. Assign an owner to compare the official statements with the institution’s country-risk policy and applicable local requirements. Record what changed, why a control should change, and who approved it. See the updated FATF tracker for the lists.
UK alert highlights AI-enabled investment endorsements
Verified update. Report Fraud’s 27 October alert reports £24.3 million in losses and more than 1,300 reports of AI-enabled investment fraud during January–August 2026. It describes fabricated endorsements, apparent profits on convincing trading platforms and demands for further fees when victims try to withdraw. The figures cover that eight-month reporting period, not losses on the publication date.
Our learning point. In a customer conversation, ask how the opportunity was introduced, who controls the destination account and what happened when withdrawal was attempted. A familiar face in a video is not independent verification. Use your organisation’s approved fraud-escalation process when the explanation raises concerns.
Also this week: read our 28 October analysis of The Star’s penalty and customer due diligence lessons.
A five-minute team exercise
Fictional training scenario. An analyst receives a country-list update. Later, a customer asks to send another payment to release profits from an online investment platform. A colleague says both files can be closed because the automated checks passed.
- What evidence is missing in each file?
- Who should review the country-policy change and the possible fraud concern?
- What would you record so another reviewer can reconstruct your reasoning?
Discussion point. The two files need different reviews. Identify the decision, collect relevant evidence and document the escalation; do not substitute an automated result for an explanation.
Continue learning
Practise structured customer reviews in CDD & EDD in Practice.
Official sources are linked beside each factual summary. Learning points and the fictional exercise are LearnAML’s educational interpretation. General education, not legal or regulatory advice. This dated desk update is separate from the weekly edition.