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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DHS · DHS-2412 · record R1891

Supervised Traveler Identity Verification Services (Officer Initiated)

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
2017-09-01 (day precision)Source: 2017-09-01T00:00:00
Withheld from public reporting
Not reported

Mission

Topic area
Law Enforcement
Operational functions
Biometrics and identity Derived by keyword rules; see methodology

Problem the AI is intended to solve

Biometric Entry processing fulfills a Congressional mandate.

Expected benefits

The TVS Biometric matching service is a cloud-based facial biometric matching service that enables CBP to match a passenger’s identity against a trusted source, throughout the travel continuum which improves traveler facilitation and reduces manual identity verification

System outputs

Leverages DHS facial matching technologies to provide a match or no match response

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)
CBP procured mobile devices (Apple, Samsung) commercial off the shelf cameras (Logitech)
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
Border Crossing 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; b) General solicitations of feedback and comments from the public

Potential impacts and how they were identified

The key risk is the degradation of the TVS verification to degrade overtime based on the parameters of assessment for comparing images to templates. The facial recognition does not enter or retrieve data, it is only comparative.