Passenger Security Assessment Model
Description
This model aids CBP to efficiently identify security risks, especially related to narcotics interdiction, by providing real-time risk assessments that overcome limitations of traditional, time-intensive methods. The model solves the problem by providing CBP personnel with real-time risk assessments and actionable recommendations integrated into existing systems. By analyzing data not typically accessible during initial processing, the model enhances the ability to detect smuggling indicators and prioritize high-risk individuals or vehicles for further inspection. This improves the efficiency and effectiveness of border security operations, enabling CBP to better safeguard the nation while maintaining the flow of legitimate travel and trade.
Detailed example
The outputs include risk assessments and recommendations, which are integrated into existing passenger processing and threat targeting systems, such as the Automated Targeting System (ATS). These notifications equip CBP personnel with actionable insights to address potential security concerns in real-time.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
This model is designed to support CBP personnel in quickly recognizing crossings that may warrant additional scrutiny, thereby enhancing border security and safety.
Controls / human review
ATO: Yes; PIA: https://www.dhs.gov/publication/automated-targeting-system-ats-update https://www.govinfo.gov/content/pkg/FR-2012-05-22/html/2012-12396.htm
Data needed
This model leverages data housed within the Automated Targeting System (ATS) Unified Passenger (UPAX).