A community driven framework for understanding, detecting, and mitigating illicit financial behaviors.
Explore the Framework
In our quest to tackle these challenges, we have built AMLTRIX.
Explore the FrameworkAML, IT, and Data teams operate in silos, speaking different technical and operational languages. This misalignment leads to poorly understood requirements and suboptimal solutions, slowing down critical compliance initiatives.
Global AML authorities disseminate money laundering typologies as unlabeled and unstructured data, making it difficult for organizations to implement them effectively in compliance programs.
Excessive false positives generated by current AML systems overwhelm operational teams, significantly reducing efficiency and increasing compliance costs.
Most AML typologies are provided as unstructured text, forcing compliance teams to rely on labor-intensive manual analysis. This hinders the adoption of AI-driven systems in combating financial crime.
Inspired by MITRE ATT&CK, we map AML/CFT adversarial behavior into Tactics, Techniques, Indicators, and Mitigations for maximum clarity
Open contributions from financial institutions, regulators, and experts. Centrally curated to maintain quality
Machine-readable and taxonomy-driven framework, enabling AI-based solutions to plug in ensuring powerful detection and smarter, automated controls.
Extend the core framework with your own institution-specific scenarios or add new typologies as they emerge (e.g. new crypto-based laundering).
AMLTRIX Provides unified definitions for laundering techniques, simplifying day-to-day investigations and demonstrating regulatory effectiveness.
A unified system enhances communication between different regulatory bodies and FIUs, promoting a coordinated and efficient response to financial crimes.
Delivers documented adversarial laundering techniques, enabling enforcement teams to correlate complex patterns and assemble robust, comprehensive evidence for court.
AMLTRIX ensures structured typologies & terminology for building accurate detection algorithms, speeding up model training and product roadmaps.
AMLTRIX delivers consistent risk classification across the enterprise, helping leadership optimize compliance processes and demonstrate measurable outcomes to stakeholders.
AMLTRIX supplies a vendor-neutral intelligence framework, ensuring solutions remain up-to-date, compatible with diverse FI needs, and less reliant on proprietary rule sets.
By exploring money laundering techniques with indicators in AMLTRIX, analysts could pinpoint matching techniques for flagged transactions, make more informed decisions.
Explore AMLTRIX to map existing rules to adversarial techniques and align the mappings with an internal risk assessments to better detect suspicious activities.
By using AMLTRIX which is easily navigable an up-to-date resource, AML officers could train new hires on the money laundering techniques, enabling them to quickly grasp the context.
AMLTRIX enables financial institutions to identify new typologies, have a discussion in private or community without revealing sensitive data.
Explore AMLTRIX to review detailed techniques, indicators associated with them for improved feature extraction and current features validation.
Use AMLTRIX to design a standardized investigative process for AML compliance risks monitoring.
We research and dissect adversarial activities, breaking them down into the tactics and techniques.
All data is machine-readable, versioned, and curated, making it easy to adopt or extend
Financial institutions, regulators, and tech teams can adopt the framework, share real-world feedback, and drive improvements
Tactics capture the high-level “why” behind actions, framing the overall objectives and providing contextual categories for the techniques.
Techniques represent the “how,” detailing the specific actions an adversary takes to achieve those tactical objectives.
Mitigations outline the defensive strategies designed to disrupt or diminish the effectiveness of an adversarial technique.
Indicators are the observable signs that suggest a particular technique is in use.
Key figures and statistics that highlight our impact and effectiveness in the AML/CFT space.
Explore the FrameworkAdversarial techniques defined
Sources analyzed
Risk indicators described
Defensive mappings provided
We have been chosen by the Central Bank of Ireland as part of the Innovation Sandbox Programme.
We have been selected to present our project at the Bank for International Settlements Innovation Hub Analytics Showcase 2025.
Our proposition
Bridge the Gap
Enable Secure Exchange
Standardize AML/CFT Data
Automate Risk Discovery
Foster Collaboration
Enhance AI Solutions
Join us for collaboration
In the future we aim secure intelligence sharing that respects privacy, ensuring sensitive data remains protected while facilitating collaboration across organizations.
We foster a collaborative environment where organizations could exchange intelligence on emerging threats, enhancing collective -response to financial crimes.
Leveraging AI, we sharpen detection capabilities, enhancing rapid identification of suspicious patterns and anomalies in financial activities.
We support the sharing of labelled synthetic data, allowing organizations to train and refine detection models without exposing real, sensitive information.
Our framework streamlines AML processes by automating workflows and standardizing data, reducing operational redundancies and boosting overall efficiency.
A risk and data repository centralizes relevant intelligence allowing organizations to effectively analyze, monitor, and mitigate evolving financial crime threats.
AMLTRIX is an open-source knowledge graph designed to unify and standardize how financialinstitutions, regulators, and solution providers identify and mitigate money laundering (ML).Inspired by the MITRE ATT&CK® framework in cybersecurity, AMLTRIX aims to provide a dynamic,machine-readable taxonomy of tactics, techniques, and sub-techniques across core riskcategories (products, customers, channels, geographies, and internal factors). Its structure helpsbridge the gap between high-level regulatory language and day-to-day AML operations.
AMLTRIX can be used in various ways to support AML/CFT operations, deliver actionable financial crime intelligence, and enhance your compliance architecture. Please find Get Started (link) page for instructions how to start using AMLTRIX. Also check out the Resources (link) section for other material.
AMLTRIX is offered as an open-source framework ensuring you can access and use it at no cost.
AMLTRIX is built to be system-agnostic and easily integrates with your existing infrastructure—no special systems required.
AMLTRIX was developed by AMLYZE, a pioneering company founded by regulatory insiders with extensive experience in financial crime intelligence, regulatory compliance, and law enforcement. Dedicated to transforming AML/CFT compliance, AMLYZE combines deep expertise in financial crime risk management with cutting-edge technology. AMLTRIX was designed to empower professionals with an advanced intelligence tool to effectively mitigate financial crime risks.
AMLTRIX is an open-source, community-driven framework. We welcome contributions from developers, researchers, and AML/CFT enthusiasts alike. If you’d like to get involved, please visit our Contribute Page to learn more and join our community in building a more robust solution against financial crime.
