AMLTRIX® is an open, community-driven knowledge graph and taxonomy for adversarial behaviors in financial crimes. It systematically breaks down money laundering and related illicit activities into clear tactics, techniques, and indicators, providing a unified reference that helps financial institutions, regulators, and compliance professionals detect, mitigate, and understand criminal tactics more efficiently.
Developed by AMLYZE—a RegTech provider—AMLTRIX addresses the lack of standardized definitions in the AML/CFT space, transforming complex regulatory guidance into practical detection and prevention strategies.
Learn more: AMLTRIX Design Methodology
This repository provides AMLTRIX data exports structured by release version and file format:
amltrix-data/
├─ stix/
│ ├─ amltrix-ml-latest.json
│ ├─ amltrix-ml-1.0-beta.1.json
│ └─ ...
├─ csv/
│ ├─ amltrix-ml-actors-latest.csv
│ ├─ amltrix-ml-techniques-latest.csv
│ ├─ amltrix-ml-tactics-latest.csv
│ └─ ...
├─ xlsx/
│ ├─ amltrix-ml-latest.xlsx
│ ├─ amltrix-ml-1.0-beta.1.xlsx
│ └─ ...
├─ navigator/
│ ├─ amltrix-ml-latest-layer.json
│ ├─ amltrix-ml-1.0-beta.1-layer.json
│ └─ ...
├─ LICENSE.txt
├─ NOTICE.txt
└─ README.md
- STIX 2.1 JSON (
stix/): Ideal for threat intelligence platforms and programmatic ingestion. - CSV Files (
csv/): For quick reference or integration into data analysis workflows. - Excel Workbooks (
xlsx/): User-friendly format containing multiple sheets and an overview Matrix tab. - Navigator Layers (
navigator/): Directly usable in AMLTRIX Navigator for interactive visualization and planning.
AMLTRIX is currently in Beta, undergoing frequent updates. Versions follow this format: v1.0-beta.#.
- Latest files always marked as
-latest. - Historical versions retained for consistent referencing and comparison.
View full version history and changelogs: AMLTRIX Version History
AMLTRIX data includes:
- Tactics: High-level adversarial objectives (e.g., Placement, Layering).
- Techniques & Sub-techniques: Methods used to achieve tactics.
- Indicators: Observable red flags or risk signs.
- Mitigations: Defensive strategies and controls.
- Actors: Adversarial personas.
- Relationships: Links between AMLTRIX objects (e.g., Tactics → Techniques).
Use these structured files to support threat intelligence, detection & investigation, AI model training, or AML/CFT training activities.
- AMLTRIX content is open-licensed, based on Creative Commons principles. You are free to use, adapt, and distribute AMLTRIX data, including commercially, provided you clearly attribute AMLTRIX.
- Derivative works must retain the open license terms.
- AMLTRIX content is provided "as is," without warranties of any kind.
Attribution guidelines:
- Digital: Mention AMLTRIX with a visible hyperlink.
- Print: Include AMLTRIX in footnotes or bibliography.
- Software: Reference AMLTRIX clearly in documentation or about sections.
Full license details: AMLTRIX License
Complete terms of use: AMLTRIX Terms of Use
Your contributions and suggestions are welcome!
- Visit the Contribute Page to propose new content or improvements.
- Join community discussions and updates on our Discord server.
- For general questions or feedback, contact us at info@amltrix.com.
Thank you for helping AMLTRIX enhance global AML/CFT defenses!