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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DHS · DHS-2570 · record R1898

Traffic Jam

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
2025-09-29 (day precision)Source: 2025-09-29T00:00:00
Withheld from public reporting
Not reported

Mission

Topic area
Law Enforcement
Operational functions
No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Access to a robust data source of potential runaways, missing children, and sex trafficking victims alongside the associated analytics tools to support CBP in our mission to protect the most vulnerable populations.

Expected benefits

Traffic Jam leverages AI for facial recognition purposes and to draw together similar data points from a large pool of data in support of human trafficking and exploitation investigations. Manually combing through available data takes an extensive amount of time and resources, with often less than desirable outcomes. The AI solution in Traffic Jam is able to quickly identify the most relevant information and possible matching for immediate review, allowing officers and analysts to focus limited time in a high-tempo operational environment in the most effective manner possible.

System outputs

The AI system is only used for the purposes of returning possible matches to query criteria within the Traffic Jam system. The data submitted by the end user is not used to train or refine the AI model, submitted images are cached for 2 hours to facilitate user support but nothing is retained permanently in the Traffic Jam database. Additionally, the information is reported back to CBP officers and agents to review for further research and determination of next steps.

Technology

AI classification
Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
System name(s)
Traffic Jam
Custom-developed code
No
Public source code
Not reported

Sourcing

How it was built
Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported)
Marinus Analytics
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
Not reported
Authorization to Operate
Yes
Demographic features
Not reported
Training and evaluation data
Proprietary, public, and machine labeled datasets including structured and unstructured data such as online ads, research datasets, images, and geospatial information. All data used for model training and testing is either publicly available, lawfully obtained, or provided by partner agencies under appropriate agreements, and is processed in compliance with privacy and security standards.
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 progressSource: b) Development of monitoring protocols is in-progress
Operator trainingReported in progressSource: b) Establishment of sufficient and periodic training is in-progress
Fail-safeReported in progressSource: c) In-progress
Appeal processReported in placeSource: a) Yes, an appropriate appeal process has been established
User and public consultationOther or ambiguous answerSource: d) Other

Potential impacts and how they were identified

Using Traffic Jam or similar commercial facial recognition vendors introduces additional privacy and civil liberties risks, particularly around data control, transparency, and accountability. Mitigation steps are taken as outlined in the Privacy Impact Assessment to minimize or eliminate the impacts of using artificial intelligence.