Transportation Security Administration – AI Use Cases
This is an overview of each AI use case within TSA, as part of the Simplified DHS AI Use Case Inventory.
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This is an overview of each AI use case within TSA, as part of the Simplified DHS AI Use Case Inventory.
This is an overview of each AI use case within USSS, as part of the Simplified DHS AI Use Case Inventory.
SVIP Synthetic Data Generator topic call awarded companies.
DHS S&T announced four contract awards to Betterdata, DataCebo, MOSTLY AI, and Rockfish Data to develop synthetic data capabilities that model and replicate the shape and patterns of real data, while safeguarding privacy and mitigating security harms.
A shared platform providing homeland security users with trusted geospatial data, map services, and geospatial applications
Enhancing DHS missions and operations through geospatial capabilities, data, coordination, support, and guidance
Lead agency for DHS geospatial programs, policy, governance, and tradecraft, including geospatial data, GIS, and geospatial applications
In today’s world where data is ubiquitous and inexpensive, the Department of Homeland Security (DHS) can leverage data science developments across multiple homeland security missions to identify signals, patterns, and structures within high-dimensional, noisy, uncertain input. Data sciences and simulation sciences conduct experiments to predict different operational outcomes. Such research can improve the phenomenology of crowd models, improve tool sets available in cyber analytics platforms, decrease the time needed to develop training data annotations in law enforcement missions, improve air interdiction of drug trafficking, and adapt training according to the trainee’s strengths and weaknesses.
DHS S&T announced a new solicitation seeking solutions to generate synthetic data that models and replicates the shape and patterns of real data, while safeguarding privacy and mitigating security harms.
DHS S&T announced that mesur.io from North Carolina, Neoflow from Toronto, and Transmute from Austin successfully completed real-time, standards-based testing for exchanging supply chain data with CBP.