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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DHS · DHS-65 · record R1934

Aircraft Landing Location Predictor (KESTREL)

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 predicts aircraft landing locations. The AI outputs do not produce an action or serve as a principal basis for a decision that has the potential to significantly impact the safety of human-life or well-being, climate or environment, critical infrastructure, or strategic assets or resources. 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.
Start date
2022-10-01 (day precision)Source: 2022-10-01T00:00:00
Withheld from public reporting
Not reported

Mission

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

Problem the AI is intended to solve

Monitoring activities in the air and maritime domains to identify unusual patterns or behaviors.

Expected benefits

The system analyzes potential landing locations for aircraft to support response planning and preparation.

System outputs

The output provides a visual representation of the top three potential locations, using color-coded indicators to show the likelihood of each outcome.

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)
KESTREL
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)
Maxar
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
Data is provided from a surveillance system in the form of real-time messages on detected tracks within the system.
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