1 / 7

1.3.1 DIRTY CASH

This proposal focuses on developing innovative tools to enhance the reporting phase in Anti-Money Laundering (AML) and Counter Financing of Terrorism (CFT) processes. It aims to empower Financial Intelligence Units (FIUs), banks, and law enforcement by automating the extraction of key information from unstructured documents. Collaborating with academic institutions and SMEs across Europe, the project seeks to improve data analysis capabilities and effectiveness in combating organized crime and terrorist financing.

olive
Télécharger la présentation

1.3.1 DIRTY CASH

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 1.3.1 DIRTY CASH (Development of Intelligence and ReporTing analYsis, Crossing dAta and Systematic cHecking) Academic Institutions SMEs ZANASI Alessandro SrL Bruxelles September, 2009 Contact: Alessandro ZANASI Alessandro.zanasi @ zanasi-alessandro.eu Tel:+39 349 4131718

  2. Topic SEC-2010.1.3-1: “Innovative tools to combat organised crime and terrorism financing and money laundering”. Objective of the proposal To improve the reporting step in AML and CFT process, allowing the FIU, banks and law enforcement analysts to better perform their activities,automatically extracting the‘content’ of the unstructured documents supporting the reporting activity (e.g., financial institution account records, real estate records, documents on links and judgments, corporate registries, brokerage and mutual fund accounts, insurance policies and contracts and a full spectrum of other financial and business relations records and public sources).

  3. Partners Academic Institutions  University of Paris 12(F), University of Modena (I) SMEs  Temis SA (F), Zanasi Srl (I) FIUs  3 from EU, 2 extra EU Banks  4 from Italy, Spain, French, UK Required Large integrator  coordination High level competences

  4. (French SME) (founded in 2000 by ex IBM TM responsibles in F,I,D & US) • Skills: • Text Mining/Information Extraction • Twenty languages (including Arabic and Chinese, Korean, Japanese) are supported • Involvement in previous projects in the area: • Europol • French Ministry of Finance (TRACFIN) • DIRTY MONEY (Proposal to DG JLS Monitoring System to detect financial crimes)

  5. University of Modena & Reggio Emilia Center of Research in Intelligence and Security(CRIS) • Skills • Web Engineering and Artificial Intelligence • Information Security • Law • Data Privacy, Data Protection • Involvement in previous projects in the area: • COMIFIN (ICT/SEC Project)  Sure financial middleware • VIRTUOSO 

  6. University of Paris 12 • Skills: • LISSI (Laboratoire Images, Signaux et Systemes Intelligents) modelisation, information and knowledge management, images and signals management.

  7. ZANASI Alessandro SrL ZANASI Alessandro SrL • Skills: • Intelligence Process • Technological Applications to Intelligence problems • EU indications (ZANASI is ESRAB/ESRIF and their financial WGs member) • Involvement in previous projects in the area: • MASAK (Turkish Ministry of Finance) • MEF (Italian Ministry of Economics and Finance) • COMIFIN (ICT/SEC Project)  Sure financial middleware • THIS (JLS Project)  Intelligent System • DIRTY MONEY (Proposal to DG JLS)  Monitoring System to detect financial crimes

More Related