Uncovering evidence of money laundering with OSINT and network visualization
Complex corporate structures, people with family ties to public officials, new sanctions: identifying clients or transactions tied to risky entities often requires going through intricate relationships and access to external data. Discover how compliance teams can deploy an emergent ecosystem of open source datasets and enterprise graph data analysis tools to tackle these challenges to identify new risks and accelerate their investigations.
- How to leverage open source information and network visualization to enhance your AML compliance program
- How to get access to consolidated data about sanctions, politically exposed persons or Russian oligarchs
- How to visually navigate complex networks to suspicious connections
Jean is the co-founder and Sales Director at Linkurious. Over the years, he has worked with a wide range of Fortune 500 companies and government agencies to help them find insights in complex connected data. Previously, he worked in the consulting industry. Jean double-majored in both political sciences and competitive intelligence.
Friedrich Lindenberg is a founder at OpenSanctions an a civic technologist with 12 years experience in opening data. From 2015 to 2021 he was the data team lead on the Organized Crime and Corruption Reporting Project, where he oversaw the development of the Aleph data platform and provided data engineering support for dozens of investigations related to money laundering and financial crime.