AML Analytics

Improve traditional rule-based anti-money laundering (AML) transaction monitoring efforts by adopting AI technologies to enhance efficiency and effectiveness.

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Network of wires

Overview

New weapons to combat money laundering and terrorist financing

Stay one step ahead of increasingly sophisticated criminals and their vast networks and use the power of AI to improve almost any functionality of an implemented AML solution. Benefit from more intelligent segmentation, more dynamic typologies, and more productive alerts. Add network analytics to identify bad actors and relationships across the portfolio. Create transparency and trust and satisfy regulators and auditors with explainable results from your advanced analytic models.

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FICO named a “Category Leader” in Chartis report on “Artificial Intelligence in Financial Services, 2019”

Chartis, Artificial Intelligence in Financial Services

Market and Vendor Landscape, 2019

Analytics for more effective transaction monitoring

How can machine learning be leveraged for AML? Why has the adoption of artificial intelligence and machine learning in AML been relatively slow so far? At Siron User Group in Munich, we asked our Chief Analytics Officer, Scott Zoldi, to provide his insights.

AML advanced analytics core technology

Strengthen anti-money laundering efforts with AI.

Unsupervised outlier and supervised models — machine learning models that detect previously unknown behavior patterns and prioritize alerts for more efficient operations.

Collaborative profiles assign customers to “archetypes,” or peer groupings, that improve risk sensitivity for customers based on collective transactional behavior.

Self-learning models create a detailed representation of customer behavior, memorizing it in that profile, and updating the profile in real time as behavior evolves.

Behavior sorted lists embed efficient tracking of most frequently used entities — features using behavior sorted lists act as a “fingerprint” of every account.

FICO’s explainable AI (xAI) provides reason codes describing the variables that most influenced the machine learning score.

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News

Learn what’s happening in the world of advanced analytics and data-driven decision management with the latest news, updates, and ideas from the FICO Newsroom.

Blogs

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5 Key Research Findings on Enterprise Artificial Intelligence

New research on artificial intelligence shows how CAOs and CDOs are responding to the current pandemic, economic uncertainty, and renewed focus on social justice

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Abstract Building

How to Reduce AML False Positives and False Negatives

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Machine Learning for AML Gives Pros “Superhuman” Powers

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AI Meets AML: How the Analytics Work

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2023 FICO Decisions Award Winners

Meet The 2023 FICO Decisions Awards Winners!

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Top 5 Fraud Posts for 2022: Scams, Contactless and Money Mules

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Unleash the power of AI for strengthening AML transaction monitoring efforts

Make the leap to next-gen tech to solve the false-positive alerts problem in rule-based AML/CTF systems, increase the efficiency of existing AML solutions, and drive better allocation and use of compliance resources.