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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DHS · DHS-2538 · record R1896

Open Source and Social Media Analysis

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
2025-01-01 (day precision)Source: 2025-01-01T00:00:00
Withheld from public reporting
Not reported

Mission

Topic area
Law Enforcement
Operational functions
Translation and transcription, Image and video analysis Derived by keyword rules; see methodology

Problem the AI is intended to solve

The AI is intended to solve the problem of efficiently identifying potential threats and admissibility concerns by quickly analyzing vast amounts of open-source and social media data for security risks to enhance U.S. national security. This tool then presents information to a CBP Officer/analyst for manual review, verification and validation for violations of Title 8 and Title 19 or other laws that CBP is sworn to enforce. The output is not used as the sole basis for action or decision making.

Expected benefits

CBP uses this tool to conduct targeted queries to aid CBP in open-source research to monitor potential threats or dangers or identify travelers who may be subject to further inspection for violation of laws CBP is authorized to enforce or administer.

System outputs

This tool utilizes AI modules for Text detection and translation as well as object and image recognition to provide analysts with possible matches to manually review in a single interface versus doing multiple manual queries. The output is not solely used for action or decision making and are used to identify additional Open Source or Social Media of a person or identify additional selectors (such as phone and emails) that are previously unknown to CBP and compared by an analyst against Government systems to identify additional derogatory information.

Technology

AI classification
Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
System name(s)
Not reported
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)
NexisXplore
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
No
Privacy Impact Assessment
www.dhs.gov ↗
Authorization to Operate
No
Demographic features
Not reported
Training and evaluation data
Training data was collected from several publicly available, social media, and media outlet sites. This approach ensured the model was trained across several different groups representing an array of possible language types and vernaculars so as not to cause bias toward a specific demographic. Along with the above open-source data, the vendor leverages a mix of proprietary data to ensure the data is representative of real-world conditions and context.
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 progressSource: b) In-progress
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-safeNot applicableSource: b) Not applicable
Appeal processReported in placeSource: a) Yes, an appropriate appeal process has been established
User and public consultationReported in progressSource: e) In-progress

Potential impacts and how they were identified

AI could potentially mis-label an object however all results are reviewed by a law enforcement officer and OSINT results are only one section of data among many when reviewing admissibility.