DHS S&T using data analytics to combat human smugglers
On August 14, the U.S. Department of Homeland Security’s Science and Technology Directorate posted a snapshot of the agency’s efforts to use data analytics to fight human smuggling.
Due to the secretive nature of the lucrative, yet illegal underground market of human smuggling, accurately gauging the number of people who are smuggled into the United States is extremely difficult. Some estimates put illegal crossings at 350,000 per year—and that’s just coming over the U.S.-Mexican border.
Looking for Solutions
With a crisis of this magnitude, special agents are always looking for a technological edge—and they may have found one in a data analytics software program called Igloo.
Igloo was developed by the Department of Homeland Security (DHS) Science and Technology Directorate (S&T), and is currently in use by select units of U.S. Immigration and Customs Enforcement (ICE) Homeland Security Investigations (HSI), the lead agency for investigating human smuggling.
Transnational Criminal Organizations (TCOs), which often perpetrate this illegal activity, reap massive profits from their crimes, including human trafficking and smuggling, drug smuggling, and illegal financial transactions. They represent a significant threat to life, property, and the rule of law—a threat that HSI works to dismantle.
To do that, it relies on intelligence. However, law enforcement is only as good as the intelligence they can act upon—and it is only as good as the timely and accurate analysis of data. With the abundance of information available in today’s world, agencies are faced with a deluge of data that they need help analyzing. S&T’s Borders and Maritime Director Jon McEntee explained that HSI desired greater automation of their investigative processes for rapid identification of targets and networks. And that’s what Igloo does.
Crunching data quickly
Until recently, when on the trail of human smugglers, HSI special agents would be tasked with the slow and arduous chore of sifting through large amounts of data—often by hand. As one can imagine, manually comparing and correlating multiple sources of data and looking for connections can take a lot of time. And time is a critical commodity.
With the launch of Igloo, law enforcement now has an advanced set of tools at their fingertips, explained McEntee. Igloo leverages machine learning algorithms to search databases looking for patterns and anomalies.
Agents can use Igloo to scour multiple sources and then track, triangulate, and swiftly translate the telltale signs of this type of criminal activity into actionable intelligence. To further support efficient use of agents’ valuable time, the software is built to have a user-friendly graphical interface.
McEntee explained that the Igloo software can quickly cross-reference and cross-correlate data from multiple sources. It finds commonalities and then builds a framework for law enforcement to use.
The current version of Igloo is deployed as a “beta” model. This early version of the technology is deployed for testing purposes to inform future versions. The preliminary results are quite promising.
In the future, S&T plans to transition Igloo to other offices within ICE. McEntee noted that other law enforcement who have similar needs and obstacles could also benefit from the tool.