Text Analytics
Entity Extraction
Relationship Extraction
Event Extraction
Sentiment Analysis
Geotagging
Identity Analytics
Name Matching
Entity Resolution
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Intelligence Analysis
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AML, KYC, PEP
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Identity analytics Solution

Border Security

Several high-profile border security failures have occurred when known bad actors were mistakenly allowed to cross, in some cases leading to tragic loss of life. Many of these incidents stemmed from an inability to accurately match the individuals’ names against existing watchlists.

NetOwl provides highly accurate, real-time, and scalable multilingual fuzzy name matching that strengthens border screening processes and enables reliable, effective Border Security at scale.

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Abstract illustration with an image of a woman handing a passport to another person at border security checkpoint

photo illustration of multiple passports

Why is Name Matching Challenging for Border Security?

The nature of border security means that a large percentage of the names to be screened are international. Some names are varying transliterations from non-Latin scripts such as Arabic, Chinese, and Cyrillic. International names may also exhibit ethnicity-specific phenomena (e.g., two surnames in Spanish person names). As a result, name matching for border security is particularly challenging, requiring a highly accurate name matching capability that can handle a wide range of name variants.

NetOwl, the winner of the MITRE Multicultural Name Matching Challenge, provides the most accurate name matching through its innovative machine learning-based approach trained on large-scale, real-world, multi-ethnicity name variant data. In addition, NetOwl’s automatic name ethnicity identification detects the ethnic origin of a name to best handle ethnicity-specific phenomena. NetOwl maximizes recall (true positives) while minimizing false positives to avoid delaying lawful border traffic.

Real-time Screening

In a border security scenario, time is of the essence. Every day millions of travelers go through airports, seaports, and land ports of entry. Border screening must take minimal time to avoid delays and to keep lines moving.

NetOwl performs name matching against hundreds of millions of records with sub-second response times to support real-time screening.

photo illustration of immigration sign at airport

Multifield Record Matching

In addition to names, other record fields such as date of birth, place of birth, and nationality are typically checked against watch lists. NetOwl’s entity resolution product performs matching based on evidence from any combination of such fields. It provides high performing matching models for several entity types besides person names (e.g., date, place, organization, address). Additionally, weights can be assigned to each field to reflect the most appropriate business rules for border security.