DHS · DHS-2522 · record R1985

idiCORE Subscriptions

Department of Homeland Security · TSA

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: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2025-07-17 (day precision)Source: 2025-07-17T00:00:00
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

This allows agents and analysts to quickly determine interrelationships and connections, facilitating faster and more accurate investigations.

Expected benefits

Significantly enhances efficiency by saving analysts time in forming relative and associate interrelationships. It eliminates much of the guesswork, enabling analysts to focus on critical decisions and actions.

System outputs

Analysts set up geographic boundaries for reporting alerts and make selections of topical areas for interest and the tool delivers information that meet the conditions set by the analyst.

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): idiCORE
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: Not reported
Authorization to Operate: No
Demographic features: Not reported
Training and evaluation data: idiCORE uses public records data, including government data, property records, business filings, and public social media information, in addition to proprietary/licensed data, such as specialized databases for insurance claims, law enforcement intel, and consumer data to train its models and perform its data-linking functions.
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