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Contenido proporcionado por Thomas Fox. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Thomas Fox o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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Matt DeLauro on Enhanced Efforts Against Financial Crimes

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Manage episode 408879928 series 2494683
Contenido proporcionado por Thomas Fox. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Thomas Fox o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Innovation takes many forms, and compliance professionals must be ready for and embrace it.

Today, Tom Fox visited with Matt DeLauro, SEON’s Chief Revenue Officer. Matt discussed the SEON software solution for fraud risk and anti-money laundering.

Matt DeLauro is a financial industry veteran with over two decades of experience specializing in developing and implementing software solutions for various financial entities. With a focus on financial services and fintech, he currently serves as the chief revenue officer at SEON, a company dedicated to fraud prevention and anti-money laundering (AML) technology.

DeLauro’s perspective on AML regulations stems from his deep understanding of the fraud community’s interconnected nature and the increasing importance of AML measures due to factors like international conflicts and national security threats.

He emphasizes the need for real-time detection services and robust compliance controls in the face of evolving threats, highlighting the impact of sanctions and sanctioned individuals on the need for enhanced compliance.

Ultimately, DeLauro views AML as a critical tool in combating financial crimes and preserving the integrity of the global financial system.

Key Highlights:

  • Enhanced Efforts Against Financial Crimes
  • Real-time Fraud Detection in Financial Services
  • Automating SAR Generation with Machine Learning
  • Real-time Fraud Detection through Device Fingerprinting
  • Sub secondary Detection of Fraudulent Transactions in Real-Time

Resources:

Matt DeLauro on LinkedIn

SEON

Tom Fox

Instagram

Facebook

YouTube

Twitter

LinkedIn

  continue reading

500 episodios

Artwork
iconCompartir
 
Manage episode 408879928 series 2494683
Contenido proporcionado por Thomas Fox. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Thomas Fox o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Innovation takes many forms, and compliance professionals must be ready for and embrace it.

Today, Tom Fox visited with Matt DeLauro, SEON’s Chief Revenue Officer. Matt discussed the SEON software solution for fraud risk and anti-money laundering.

Matt DeLauro is a financial industry veteran with over two decades of experience specializing in developing and implementing software solutions for various financial entities. With a focus on financial services and fintech, he currently serves as the chief revenue officer at SEON, a company dedicated to fraud prevention and anti-money laundering (AML) technology.

DeLauro’s perspective on AML regulations stems from his deep understanding of the fraud community’s interconnected nature and the increasing importance of AML measures due to factors like international conflicts and national security threats.

He emphasizes the need for real-time detection services and robust compliance controls in the face of evolving threats, highlighting the impact of sanctions and sanctioned individuals on the need for enhanced compliance.

Ultimately, DeLauro views AML as a critical tool in combating financial crimes and preserving the integrity of the global financial system.

Key Highlights:

  • Enhanced Efforts Against Financial Crimes
  • Real-time Fraud Detection in Financial Services
  • Automating SAR Generation with Machine Learning
  • Real-time Fraud Detection through Device Fingerprinting
  • Sub secondary Detection of Fraudulent Transactions in Real-Time

Resources:

Matt DeLauro on LinkedIn

SEON

Tom Fox

Instagram

Facebook

YouTube

Twitter

LinkedIn

  continue reading

500 episodios

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