AML Analytics
Improve traditional rule-based anti-money laundering (AML) transaction monitoring efforts by adopting AI technologies to enhance efficiency and effectiveness.
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.
FICO named a “Category Leader” in Chartis report on “Artificial Intelligence in Financial Services, 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
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.
International Bank of Azerbaijan Takes An Integrated Approach To Prevent Financial Crime Using FICO Solution
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FICO Wins Financial Crime Product of the Year in Risk Technology Awards
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Case Study
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Blogs
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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.