A quantitative risk model covering 240+ jurisdictions, with regional and national variants for the EU, US, Germany and France — embedded directly in your platform, your workflow, and your audit trail.
Most AML programs still rely on fragmented, inconsistent, and difficult-to-explain risk intelligence frameworks. The supervisory bar has moved — the tooling hasn't.
Many compliance teams still rely on manual country classifications and outdated spreadsheets that don't reflect current FATF or EU positions.
Financial institutions face overlapping AML frameworks and jurisdiction-specific requirements that are difficult to reconcile.
Risk intelligence is often distributed across multiple vendors and internal systems — each with its own update cadence.
Many frameworks lack dynamic updates or integrated monitoring capabilities tied to regulatory events.
Regulators increasingly expect transparent and auditable risk rationale — not black-box scoring.
Sector risk is often treated inconsistently despite being a critical AML risk dimension under the EU AMLR and FATF guidance.
Every country is independently assessed across four sections, then aggregated with clearly defined weights. No black boxes, no manual overrides — just a defensible number you can explain to a regulator.
The prevalence and impact of criminal activities that generate illicit financial flows — corruption, drug-related crime, organised crime, fraud and tax evasion.
FATF mutual evaluations, sanctions exposure, and external AML risk classifications — automatically incorporating jurisdiction-relevant high-risk lists.
Rule of law, governance, and the operational capacity of supervisory and enforcement bodies — the controls that translate paper rules into real outcomes.
Financial secrecy, tax transparency, and beneficial-ownership disclosure standards — the structural conditions that allow illicit flows to hide.
Each variant automatically incorporates the relevant high-risk country lists — FATF grey/black, the EU list of high-risk third countries, the EU non-cooperative tax list, FinCEN special measures, Annex 4 of the German NRA, and the French non-cooperative tax list. By embedding these lists directly into the classification logic, we remove the need for manual overrides.
FATF grey & black lists, UN sanctions. The decision-grade default for any cross-border workflow.
Layers in the EU list of high-risk third countries and the EU list of non-cooperative tax jurisdictions.
Adds FinCEN special-measures designations under Section 311 of the USA PATRIOT Act.
Incorporates Annex 4 of the German National Risk Assessment (NRA) and BaFin-flagged exposures.
Incorporates the French list of non-cooperative jurisdictions for tax purposes (ETNC).
Custom variants built to match your internal AML policy, supervisory expectations, and proprietary watchlists.
Each sector is independently scored on an eight-dimensional framework, then mapped to four major industry classifications so it slots cleanly into your existing taxonomy.
Short product walkthroughs — the AML Insights platform and the AML data package, end to end.
A 40-jurisdiction extract from the Global Base variant — every score traces back to its source indicators and the override list that produced its category.
| Country | ISO | Risk score | Category | Override rationale | Parent jurisdiction |
|---|---|---|---|---|---|
Afghanistan | AFG | 77.7 | Very High | EU high-risk third country | — |
Angola | AGO | 53.6 | High | FATF grey-listEU high-risk third country | — |
Åland Islands | ALA | 7.5 | Very Low | — | Finland |
Burundi | BDI | 57.0 | Very High | — | — |
Bonaire, Sint Eustatius and Saba | BES | 23.1 | Low | — | Netherlands |
Bulgaria | BGR | 34.7 | High | FATF grey-list | — |
Saint Barthélemy | BLM | 17.0 | Low | — | France |
Cook Islands | COK | 22.2 | Low | — | — |
Comoros | COM | 43.5 | Medium | — | — |
Curaçao | CUW | 25.0 | Low | — | — |
Cayman Islands | CYM | 23.6 | Low | — | — |
Algeria | DZA | 54.8 | High | EU high-risk third country | — |
Egypt | EGY | 40.5 | Medium | — | — |
Faroe Islands | FRO | 13.0 | Very Low | — | Denmark |
United Kingdom | GBR | 22.9 | Low | — | — |
Greenland | GRL | 17.1 | Low | — | — |
Hungary | HUN | 31.7 | Medium | — | — |
Iran | IRN | 86.4 | Very High | FATF black-listEU high-risk third countryFinCEN 311 measure | — |
Iceland | ISL | 9.4 | Very Low | — | — |
Japan | JPN | 17.4 | Low | — | — |
Kiribati | KIR | 38.1 | Medium | — | — |
Kuwait | KWT | 39.2 | High | FATF grey-list | — |
Lebanon | LBN | 59.8 | Very High | FATF grey-listEU high-risk third country | — |
Luxembourg | LUX | 14.7 | Very Low | — | — |
Myanmar | MMR | 83.7 | Very High | FATF black-listEU high-risk third countryFinCEN 311 measure | — |
Netherlands | NLD | 23.1 | Low | — | — |
Nepal | NPL | 53.5 | High | FATF grey-listEU high-risk third country | — |
Panama | PAN | 48.3 | High | EU non-cooperative tax | — |
North Korea | PRK | 80.9 | Very High | FATF black-listEU high-risk third countryFinCEN 311 measure | — |
Qatar | QAT | 30.6 | Medium | — | — |
Sudan | SDN | 59.5 | Very High | — | — |
Suriname | SUR | 47.9 | High | — | — |
Syria | SYR | 78.9 | Very High | FATF grey-listEU high-risk third country | — |
Turks and Caicos Islands | TCA | 19.4 | Low | EU non-cooperative tax | — |
Trinidad and Tobago | TTO | 47.7 | High | EU high-risk third country | — |
Ukraine | UKR | 48.5 | High | — | — |
Uzbekistan | UZB | 42.3 | Medium | — | — |
Vanuatu | VUT | 44.1 | Medium | EU high-risk third countryEU non-cooperative tax | — |
South Africa | ZAF | 43.3 | Medium | — | — |
Zimbabwe | ZWE | 45.5 | High | — | — |
AML country risk lives inside the broader CountryRisk.io Insights platform: scores, source data, AI workflows and reporting all in one place, with full traceability back to the underlying indicator.
Look up any of 240+ jurisdictions in the platform, via XLS download, or through the API. Pick the variant that matches the desk.
Drill into the four risk sections and their underlying indicators — every value, source and time-series is exposed.
Use the AI Assistant and Workflow tools to summarise FATF reports, compare countries and draft commentary — fully cited.
Export to PDF, DOCX or Markdown. Pipe scores via API into your CDD, EDD and transaction-monitoring systems.
Embed defensible country risk into onboarding, EDD, and cross-border exposure analysis — with full audit lineage back to source.
Access AML risk intelligence the way it fits your stack — purpose-built endpoints, integration-ready formats, and an MCP server for AI workflows.
Per-desk views, drill-downs, side-by-side country compare, and audit-ready exports.
Versioned endpoints for every variant. MCP server for native LLM and AI-agent access.
Excel-native downloads with full audit trail — one click per variant, per refresh.
Drop scores into CDD, EDD, TM, and case-management workflows. SDKs in Python, R, TypeScript.
# Pull EU-variant AML country risk score import countryrisk client = countryrisk.Client(api_key="cr_live_***") score = client.aml.country( iso="DE", variant="eu", # eu | us | de | fr | global as_of="2026-11-01", ) print(score.overall) # 1.9 print(score.tier) # "low" print(score.sections.regulation.value) # 1.4 (S02 · weight 30%) print(score.lists.applied) # ["fatf_blacklist", "fatf_greylist", # "eu_hrtc", "eu_non_coop_tax", "un_sanctions"]
What makes the AML Country & Sector Risk Index the defensible choice for compliance teams operating across multiple jurisdictions.
Monthly refresh cycles plus FATF-plenary-triggered revisions. No drift between regulator action and your data.
Four-section model captures predicate offences, regulation, institutions, and transparency — plus the control environment.
A purpose-built sector-level ML/TF intelligence layer — not just country scores wrapped in industry labels.
Public weights. Open indicator list. Every score traceable to its source and as-of date. Built for supervisory review.
Pre-built EU, US, German, and French variants. Bespoke versions aligned to internal policy on request.
Reporting-ready, fully-cited risk rationales for committees, onboarding, EDD, and regulator-facing documentation.
Every plan includes the AML Country Risk Score, AI Assistant & Workflow tools, the curated knowledge base, AML newsfeeds, and AML indicator datasets via CountryData.io.
Methodology releases, regulatory commentary, and the thinking behind how we score countries and sectors.
Deploy quantitative AML country and sector risk intelligence across onboarding, monitoring, and compliance reporting — embedded in your existing workflows.