Case Study: U.S. Customs and Border Protection boosts border screening accuracy with Basis Technology

Strengthening U.S. Borders With Intelligent Name Matching

U.S. Customs and Border Protection (CBP) needed a more accurate way to screen millions of traveler names each day at U.S. ports of entry. Working with Basis Technology, the agency sought to strengthen its watchlist matching process so it could better identify potential threats while still supporting lawful travel and trade.

Basis Technology implemented Rosette Name Indexer, a human language technology solution that uses machine learning and weighted algorithms to handle phonetic variations, nicknames, and cross-language name matching. By integrating the product into CBP’s screening system, Basis Technology improved name matching accuracy and helped increase border security, reducing the risk of missed watchlist hits.

U.S. Customs and Border Protection