DHS · DHS-2731 · record R1901

Mobile Fortify

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: 2025-05-01 (day precision)Source: 2025-05-01T00:00:00
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

The "Mobile Fortify" application utilizes CBP's facial comparison or DHS's fingerprint matching to quickly verify subjects of interest during operations.

Expected benefits

Utilizing facial comparison or fingerprint matching services, agents/officers in the field are able to quickly verify identity utilizing trusted source photos.

System outputs

The mobile application will display either a no-match indicator or match with biographic information back to the agent/officer.

Technology

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

Sourcing

How it was built: Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported): NEC
Vendors (standardized): NEC

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: Not reported
Authorization to Operate: Yes
Demographic features: Not reported
Training and evaluation data: Vetting/Border Crossing Information/ Trusted Traveler 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 progressSource: b) In-progress

Independent reviewReported in progressSource: d) In-progress

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; d) Other

Potential impacts and how they were identified

The key risk is the degradation of CBP's facial comparison 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.