PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 16, 20260 citationsOpen Access

Corruption as a Predicate Offence in the FATF Framework: How Corruption Risks Appear in AML/CFT Effectiveness Assessments

View Full Paper
DKDavid Kovatev

Key Points

  • To assess how corruption is treated within the FATF framework regarding AML and CFT effectiveness.
  • Introduced concepts like Corruption AML Effectiveness Map and CMOD for evaluating corruption risks.
  • Analyzed corruption as a predicate offence within FATF style mutual evaluations.
  • Reviewed operational aspects including PEP controls and financial intelligence.
  • Highlighted the importance of corruption in the evaluation of AML/CFT effectiveness.
  • Presented tools to help jurisdictions judge and improve their anti-corruption measures.
  • Showed the connection between common corruption scenarios and FATF standards.

Abstract

Feel free to connect with me on linkedin: https://www.linkedin.com/in/david-kovatev-1a7b683a9 This article explains how the FATF framework treats corruption not as a separate anti corruption policy area, but as a source of criminal proceeds that can be laundered. It shows why corruption matters for AML and CFT through the logic of predicate offences, and how these risks appear in FATF style mutual evaluations. The focus is on where the operational chain must work in practice, including PEP controls, beneficial ownership transparency, financial intelligence, investigations, and the confiscation of assets of criminals involved in corruption offences. The paper also offers a practical contribution. It introduces the Corruption AML Effectiveness Map, which links common corruption scenarios to relevant FATF standards and Immediate Outcomes. It then proposes the Corruption AML Minimal Outcome Dashboard, or CMOD, a small set of outcome focused indicators and a validation plan that uses publicly available mutual evaluation materials. Together, these tools help translate evaluation narratives into comparable signals and support evidence based judgments about whether an AML system actually deprives corruption offenders of illicit gains.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

David Kovatev (2026) studied this question.

synapsesocial.com/papers/69926575eb1f82dc367a1544https://doi.org/10.5281/zenodo.18643621
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Impact of Cybersecurity, Artificial Intelligence, and Corruption on Money Laundering Risk: A Cross-National Quantitative Analysis of Financial Action Task Force Member States2025
  2. 2Evaluation of financial monitoring systems effectiveness in its relationship to the country's security indicators2024
  3. 3Toward tailored AML/CFT strategies: Clustering countries by FATF compliance and effectiveness2025 · 8 citations
  4. 4Integration of National Systems for Combating Corruption and Legalization (Laundering) of Criminal Proceeds: Concept and Scientific Forecast2025
  5. 5STRUCTURAL CONSIDERATIONS IN ANTI-CORRUPTION FRAMEWORKS2026 · 2 citations