SBIR/STTR Research Award

Supply Chain Threat Intelligence

Award identifier 54377a6d41b1828b56097bbe1d44f21d5a8498461a04e155c3398d36ca6a786aAwarding agency Department of Defense · Air Force

Award amount

$44,626

Program and phase

SBIR · Phase I

Award year

2019

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
Sayari Analytics, LLC
Proposal award date
2019-08-02
Contract end date
2020-08-02
UEI
YZZ2MKYNW468
Solicitation number
19.2
Topic code
AF192-001

Research abstract

The objective of this proposal is to demonstrate the feasibility of a system for automatically harvesting, normalizing, enriching, and mining publicly available foreign national security data from public records on the deep web, with a specific focus on the defense and intelligence industrial base and the innovation economies of strategic rivals of the United States. The resulting system would be a lead and alert generation engine for US Air Force elements tasked with monitoring threats to US supply chains, both inbound (e.g. components of US military or contractor hardware manufactured in and imported from China) and outbound (e.g. potential diversion of controlled products re-exported from US government or contractors to strategic rivals via third countries). The initial study will assess the feasibility of a system to collect and process the data required to generate a picture of the Chinese defense and intelligence industrial base, classify potential threats to inbound US government and contractor supply chains, and do so with minimal human intervention.

Technology keywords

Not reported

Awards with the same topic code

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Agency intelligence

Department of Defense

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