An i2 chart was used in testimony presented at a US Homeland Security subcommittee hearing about the growing risks presented by Transnational Criminal Organizations.
On June 7th, the US Committee on Homeland Security, sub-committee on Counterterrorism, Law Enforcement, and Intelligence met to receive expert witness testimony to examine the wide-ranging operations and the threat posed by Transnational Criminal Organizations (TCO).
The sub-committee received testimony from Mr Chris Urben, a former assistant special agent in charge of the US Drug Enforcement Agency (DEA). In his role in the DEA, he worked with international law enforcement agencies and led global undercover DEA operations that targeted Chinese Organised Crime Groups (OCG) that facilitated money laundering for Mexican drug cartels.
Chinese and Mexican TCOs
Mr Urben's testimony described the growing threat due to the collaboration between Chinese and Mexican Transnational Criminal Organizations, their fentanyl trafficking activities, and associated money laundering. To demonstrate how these TCOs work together, Mr Urben used an i2 chart to help explain the complex relationships.
Figure 1: Mr Urben's i2 chart used to describe the relationships between Chinese and Mexican Transnational Criminal Organizations.
Mr Urben shed light on the extent of collaboration between these criminal entities and elaborated on the ongoing efforts by both government and private sector actors to combat these pervasive threats. You can watch his testimony below.
About the Homeland Security Committee
The Homeland Security Committee, formally established as a standing committee in 2005, serves as a critical platform for ensuring the safety and protection of the American people from terrorist attacks. The committee's primary focus lies in developing legislation and providing oversight related to the security of the United States.
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Our multi-dimensional link analysis software can support a wide range of investigations including Transnational Criminal Organizations and Organised Crime Groups, and as demonstrated above, also allow users to present findings in an understandable and meaningful way.
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