SBIR/STTR Research Award

SEAMLESS: Secured and Assured Machine Learning Systems

Award identifier 1b1e7634242e30212689065037fce75fbef6913c17a4a3621fbdcaf4cb58adfeAwarding agency Department of Defense · Air Force

Award amount

$999,855

Program and phase

SBIR · Phase II – Direct to Phase II

Award year

2022

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
EDAPTIVE COMPUTING INC
Proposal award date
2021-12-15
Contract end date
2023-06-15
UEI
ULSZZUD8P7W7
Solicitation number
21.2
Topic code
AF212-D002

Research abstract

ECI's SEAMLESS solution represents an end-to-end enterprise framework and tool set that will allow users to perform security vulnerability and risk assessment for a machine learning system. The SEAMLESS solution utilizes an integrated data analysis testing environment and machine learning development framework to perform analysis on the different componenets of a machine learning (ML) system. As a result, users can identify vulnerabilities and generate a risk matrix for assessment and mitigation of the risks to minimize asset loss and improve warfighter safety. The SEAMLESS solution will incorporate and leverage ECI capabilities to create a user-friendly front end to highlight the vulnerable componenets of a user-provided ML system and associated requirements. It will display flagged results and different mitigation options to the user to mitigate the key risks highlighted from the vulnerability assessment of the ML system.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

92 SBIR/STTR records share this UEI (1999–2023). Reported award amounts total $45,452,067. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, National Science Foundation

Agency intelligence

Department of Defense

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