DHS · DHS-2619 · record R1899

CBP Link

Department of Homeland Security · CBP

Overview

Development stage: DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation: High-impactSource: a) High-impact
Impact justification: Not reported
Start date: 2025-06-16 (day precision)Source: 2025-06-16T00:00:00
Withheld from public reporting: Not reported

Mission

Topic area: Law Enforcement
Operational functions: Fraud, waste and improper payments Derived by keyword rules; see methodology

Problem the AI is intended to solve

CBP Link utilizes liveness to ensure the photo that TVS it utilizing to conduct facial matching to CBP holdings is of a live person and not a photo of a 2-D image and well as validate the presence of a specific user when collecting geolocation to validate that person is in the required location.

Expected benefits

CBP Link uses liveness detection and TVS uses facial recognition to compare live or uploaded images with CBP's database, enabling real-time identity verification. This automation streamlines border processes, enhances accuracy, and reduces fraud.

System outputs

CBP Link outputs include identity match confirmation, fraud alerts, and traveler status updates for clearance in processes like boarding or border crossing.

Technology

AI classification: Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
System name(s): Traveler Verification Service
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported): IProov
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: Yes
Privacy Impact Assessment: www.dhs.gov ↗
Authorization to Operate: Yes
Demographic features: Not reported
Training and evaluation data: CBP Link submission information.
Federal Data Catalog: Not reported

Governance

8 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingReported in placeSource: a) Yes

AI impact assessmentReported in placeSource: a) Yes

Independent reviewReported in placeSource: c) Yes – by the CAIO

Ongoing monitoringReported in placeSource: a) Yes, sufficient monitoring protocols have been established

Operator trainingReported in placeSource: a) Yes, sufficient and periodic training has been established

Fail-safeReported in placeSource: a) Yes

Appeal processNot applicableSource: b) Not applicable

User and public consultationReported in placeSource: a) Direct usability testing

Potential impacts and how they were identified

False negative facial match or liveness detection - potential impact of a user not being able to provide proof of departure. As an alternative, the user can provide proof of departure utilizing any of the means as described here: https://i94.cbp.dhs.gov/home