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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DHS · DHS-81 · record R1935

Passport Anomaly Model

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
Presumed high-impact, determined notSource: b) Presumed high-impact, but determined not high impact
Impact justification
The AI outputs do not serve as a principal basis for a decision or action concerning a specific individual or entity that has a legal, material, binding, or similarly significant effect on that individual’s or entity’s civil rights, civil liberties or privacy, equal opportunities, or access to or the ability to apply for critical government resources or services. The AI output is an assessment of passport validity in response to an officer's request for passport validation. This result could be related to an inconsistency or abnormality in a passport's pattern. This is a tool available to CBP officers for confirming the validity of a passport. This result is used to notify the CBP officer that a passport may require review, as it may be part of a newly released sequence, may be invalid, or even possibly fraudulent. This is only one piece of information provided to CBP Officers during the normal course of their duties. The officers would use any results provided to research the validity of the passport through other sources.
Start date
2017-07-01 (day precision)Source: 2017-07-01T00:00:00
Withheld from public reporting
Not reported

Mission

Topic area
Law Enforcement
Operational functions
Fraud, waste and improper payments Derived by keyword rules; see methodology

Problem the AI is intended to solve

The Passport Anomaly Model addresses challenges stemming from the lack of formal notification regarding updates to passport series, such as issuance of new series or expiration of old ones. By analyzing historical trends, the model evaluates whether a passport exhibits typical or atypical characteristics and alerts officers when further scrutiny may be warranted. This capability enhances the integrity of travel document verification by enabling CBP personnel to conduct thorough and efficient reviews, ensuring security and accuracy in the inspection process.

Expected benefits

The model assists CBP personnel in passenger targeting and vetting by analyzing anomalies in Electronic System for Travel Authorization (ESTA) and non-ESTA country-specific traveler passports to improve the accuracy of matching and streamlining the screening process by reducing errors and enhancing the identification of high-risk travelers.

System outputs

The model’s outputs are integrated into the Advanced Targeting System (ATS) application, delivering real-time results that assist CBP personnel in detecting passport anomalies and potentially fraudulent documents.

Technology

AI classification
Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s)
Automated Targeting System (ATS)
Custom-developed code
Yes
Public source code
Not reported

Sourcing

How it was built
Developed in-houseSource: b) Developed in-house
Vendor (as reported)
ManTech
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
c) Age
Training and evaluation data
This model leverages data provided by air carriers within the Advance Passenger Information System (APIS) and Electronic System for Travel Authorization (ESTA).
Federal Data Catalog
Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported