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The IdentityMind Blog

AML Machine Learning

March 9, 2020

Anomaly Detection in Anti-Money Laundering Transaction Monitoring In 2018, when we made the switch from transaction-centric detection system to user-centric detection, we were certainly right. There are clear advantages for risk analysis in using digital identities and focusing the analysis on users instead of transactions (without user context). The detection of suspicious users based on […]


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IdentityMind Ofrece Solución de PLD y KYC para FinTechs en México

February 26, 2020

IdentityMind Se Compromete con FinTechs en México a Través de Asociación con la AFICO IdentityMind Ofrece Cobertura Completa de los Requerimientos de KYC y PLD de la Ley FinTech Ciudad De México, 25 de Febrero 2020 IdentityMind México, sucursal de IdentityMind Global, anunció su membresía con la Asociación de Plataformas de Fondeo Colectivo (AFICO) en […]


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Identity Proofing Challenges — Drivers For An Orchestration Hub

February 25, 2020

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KYC Process – A Primer for FinTechs

February 14, 2020

INTRODUCTION Organizations that are offering some form of financial services are (most likely) required to comply with anti-money laundering (AML) regulations. There are several aspects that are key to comply with AML (e.g. AML pillars). One of them is a program to understand the customer you are dealing with, what risk they pose to your […]


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A More Flexible Way to Leverage Historical User Behavior as a Risk Indicator

December 19, 2019

Dating back a couple of decades when ecommerce started, one of the first tools to identify online card fraud were velocity rules. Velocity rules measured the number of transactions that were performed by a particular credit card in a (short) period of time. For example, it is unusual, if not impossible, for an individual to […]


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