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This Government Contract opportunity from Department Of Defense was posted on May 6, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

AI-Powered Threat Intelligence Engine Development

Closed
Federal

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The Department of Defense is seeking subcontractors to develop an AI and machine learning-driven threat intelligence engine designed to aggregate and analyze data from various sources, including open-source platforms, social media, and the dark web. The primary goal of this system is to identify risks within the supply chain by leveraging advanced analytics and data integration techniques to provide actionable threat insights. This opportunity, posted on May 6, 2026, falls under the NAICS code 511210, which pertains to software publishers. Interested parties must submit their responses by May 13, 2026. The contract is managed by the W6QK Acc-apg Cont Ct Software Sector, but specific details regarding the place of performance, point of contact, and certain organizational information are not provided. The initiative emphasizes enhancing supply chain security through innovative technology solutions.

General Info

DoD seeks subcontractors to develop AI-driven threat intelligence engine to enhance supply chain security.

Agency

Department Of Defense → W6QK Acc-apg Cont Ct Software Sector

NAICS

511210 - NAICS Code 511210View NAICS

Place of Performance

MD, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Defense → W6QK Acc-apg Cont Ct Software Sector
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Defense → W6QK Acc-apg Cont Ct Software Sector
Office AddressN/A
ContactsNo contact information available

Full Description

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Develop an AI/ML-driven system to aggregate and analyze threat data from open-source, social media, and dark web sources for supply chain risk identification.