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Feedzai announces new AML capabilities

Wednesday 30 October 2019 11:03 CET | News

Feedzai has expanded the capabilities for its AML solution to give financial institutions detection capabilities and to offer greater explainability to simplify compliance.Through this, the company aims to deliver on the promise of using innovative machine learning techniques to facilitate management of financial crime. Moreover, the release also features automated regulatory reporting, whose goal is to accelerate time to compliance within a global regulatory ecosystem that demands AML programs to meet local, regional, and international requirements. 

The key capabilities offered by Feedzai’s upgraded AML solution are the following:

  • Robust machine learning models powered by advanced machine learning techniques: Feedzai can empower any financial institution to leverage machine learning in a bit to fight money laundering, and to combat challenges in AML such as the lack of labeled data. 
  • Feedzai’s next generation of whitebox explanations: provides explainability for AML including detailed information on the suspicious activity and why a given risk score was computed. 
  • Feedzai Genome now includes deep link analytics powered by advanced graph-based techniques: it incorporates graph based techniques, Feedzai’s AI powered link analysis tool, sharing risk intelligence data via Risk Ledger, Feedzai's privacy-safe and members-only data consortium service. 

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Keywords: Feedzai, AML, machine learning, financial institutions, compliance, management, financial crime, money laundering, risk score, privacy
Categories: Securing Transactions | Digital Identity, Security & Online Fraud
Countries: World
This article is part of category

Securing Transactions