3,611 matching use cases
OMB 2025 Individually Reported AI Use Cases ×Unassigned ×
OMB-IND-DHS-399OMB Individually Reported

Cyber Threat Analysis (Recorded Future)

The system uses the Recorded Future's platform to streamline CBP Cyber Threat Intelligence (CTI) operations by automating the identification and analysis of relevant cyber threat…

OMB Individually ReportedLaw EnforcementLow risk
OMB-IND-DHS-4OMB Individually Reported

Automated Detection of Personally Identifiable Information (PII) in Cybersecurity Data

To enhance privacy, this AI tool uses Natural Language Processing (NLP) to automatically flag potential PII for review and removal by CISA analysts.

OMB Individually ReportedAdministrative FunctionsLow risk
OMB-IND-DHS-401OMB Individually Reported

Vault Access Log (SPVAA)

Automate identification of personnel entering into secure seized property vault.

OMB Individually ReportedAdministrative FunctionsMedium risk
OMB-IND-DHS-406OMB Individually Reported

Report Analysis and Archive System (RAAS)

OMB Individually ReportedLow risk
OMB-IND-DHS-407OMB Individually Reported

Biometric Check-in for ATD-ISAP (SmartLINK)

This use case intends to solve the problem of the need for frequent in-person check-ins for participants in the ATD-ISAP program.

OMB Individually ReportedLaw EnforcementMedium risk
OMB-IND-DHS-413OMB Individually Reported

I-765 - USCIS Facial Recognition through IDENT (1:1 Face Recognition/Validation)

Using the Automated Biometric Identification System (IDENT) makes this process nearly instant and greatly enhances processing efficiency without compromising the effectiveness of…

OMB Individually ReportedLaw EnforcementHigh risk
OMB-IND-DHS-414OMB Individually Reported

I-765 - USCIS Face Capture Mobile App

OMB Individually ReportedHigh risk
OMB-IND-DHS-415OMB Individually Reported

Criminal Investigations (OBIM)

The intended problem to solve is the identification of unknown victims and suspects involved in crimes that undermine the integrity of U.S. financial and payment systems. By using…

OMB Individually ReportedLaw EnforcementHigh risk
OMB-IND-DHS-417OMB Individually Reported

Machine Learning Analysis Applied to Cyber Threat Hunt Data

The Use Case addresses the problem of how to maximally assess available data to identify anomalies and other patterns that may inform the cyber threat hunt process.

OMB Individually ReportedCybersecurityMedium risk
OMB-IND-DHS-418OMB Individually Reported

Spending Analysis and Budget Execution Risk (SABER) Model

Identify account at risk for over- and under-spend.

OMB Individually ReportedAdministrative FunctionsLow risk
OMB-IND-DHS-419OMB Individually Reported

AdaptiveMFA

Enhances security and the user experience, including: Behavioral Anomaly Detection - AI monitors user activity over time to establish a baseline pattern of their behavior. If a l…

OMB Individually ReportedAdministrative FunctionsLow risk
OMB-IND-DHS-45OMB Individually Reported

Text Analytics for Survey Responses (TASR)

Quickly and accurately pulling significant topics and themes from unstructured text responses to DHS internal surveys.

OMB Individually ReportedAdministrative FunctionsLow risk
OMB-IND-DHS-48OMB Individually Reported

Email Analytics for Investigative Data

This use case intends to solve the problem of the time-consuming and resource-intensive process of preparing multilingual email data for analysis.

OMB Individually ReportedLaw EnforcementMedium risk
OMB-IND-DHS-49OMB Individually Reported

Mobile Device Analytics for Investigative Data

OMB Individually ReportedMedium risk
OMB-IND-DHS-5OMB Individually Reported

Confidence Scoring for Cybersecurity Threat Indicators

OMB Individually ReportedLow risk
OMB-IND-DHS-53OMB Individually Reported

Identification Card and Travel Document Code Detection

OMB Individually ReportedLow risk
OMB-IND-DHS-55OMB Individually Reported

Person-Centric Identity Services Deduplication Model

Critical to the success of PCIS is the entity resolution and de-deduplication of individual records from various systems of records to create a complete picture of a person. Using…

OMB Individually ReportedLaw EnforcementHigh risk
OMB-IND-DHS-56OMB Individually Reported

Person-Centric Identity Services Information Compilation Check

The output of the use case is the numerical confidence score which is used to determine the validity of the A-number presented in search results. The confidence score identifies w…

OMB Individually ReportedLaw EnforcementMedium risk
OMB-IND-DHS-57OMB Individually Reported

Identity Match Option (IMO) Tool for Record Compilation

OMB Individually ReportedMedium risk
OMB-IND-DHS-65OMB Individually Reported

Aircraft Landing Location Predictor (KESTREL)

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

OMB Individually ReportedTransportationMedium risk
OMB-IND-DHS-68OMB Individually Reported

Empty Container Detection Model (Cargo Insights Team)

This enhances border security and optimizes resource allocation for inspections. The model is designed to accurately identify and track empty containers in cargo shipments, preven…

OMB Individually ReportedLaw EnforcementLow risk
OMB-IND-DHS-69OMB Individually Reported

Commodity Detection Model (Cargo Insights Team)

This enhances border security and optimizes resource allocation for inspections. Analyze X-Ray images and predict the commodity code, reducing the need for users to manually enter…

OMB Individually ReportedLaw EnforcementLow risk
OMB-IND-DHS-80OMB Individually Reported

Traveler Entity Resolution

Traveler Entity Resolution AI/ML models aim to improve both security and operational efficiency by focusing on individuals who may present higher risks, by improving the certainty…

OMB Individually ReportedLaw EnforcementHigh risk
OMB-IND-DHS-81OMB Individually Reported

Passport Anomaly Model

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…

OMB Individually ReportedLaw EnforcementMedium risk