Human trafficking continues to present lucrative profit-taking opportunities for transnational organized crime. Shell corporations and limited checkpoints ease the burden of transporting victims from state to state, lowering the cost significantly, while also reducing risk for traffickers.
Big data and artificial intelligence are transforming the approach to investigating trafficking – pivoting from locating individual victims to better understanding the underlying approaches and focuses that larger crime organizations are exploiting.
With money laundering at the center of any crime organization, investigators have had the daunting task of untangling financial transactions from legitimate (good transactions) businesses versus illegitimate. In a Forbes article, Guidehouse's Alma Angotti is quoted saying, “The problem with detecting human trafficking is that it’s not easy to identify what is a good transaction from a bad one. You can have an example of a business that’s booking hotel rooms frequently. That’s showing up on bank records. With AI and machine learning, you can bring in other information to associate that with information related to human traffickers.”
Read the article to learn how law enforcement and financial institutions are teaming to solve the problem of human trafficking.
We look at human trafficking as a part of a broad range of criminal activities of a business. It’s a part of our money laundering investigations. Identifying people and businesses involved in human trafficking often helps us identify other criminal activities as well.
Alma Angotti, Partner and Global Investigations and Compliance Co-Lead