How Machine Learning Is Battling Fraud - Workflow

The scammers and thieves who continually target the travel industry and cause billions of dollars every year in fraud have met a powerful new foe--machine-learning algorithms that are catching up to their best moves. The $8.2-trillion travel-and-hospitality business is especially vulnerable to multiple forms of fraud. Thieves with stolen credit cards can buy tickets online or with mobile devices. Because these tickets are intangible and perishable, blocking the fakes is a race against time. In 2018, travel and tourism was the third-most targeted industry by cybercriminals, after finance and retail, an IntSights study found.