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.
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.