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This Government Contract opportunity from Department Of Defense was posted on May 4, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Predictive Threat Intelligence Platform

Closed
Federal

Contract Overview

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The contract involves the development of an advanced predictive analytics engine designed to forecast emerging cyber threats by leveraging artificial intelligence. This engine will analyze historical data, adversary behavior patterns, and open-source intelligence to provide proactive threat intelligence capabilities. The project aims to enhance cybersecurity readiness by anticipating potential cyberattacks and improving response strategies. Issued by the Department of Defense under the headquarters of US Special Operations Command (Hq Ussocom), the subcontract opportunity is classified under NAICS code 518210, which pertains to data processing, hosting, and related services. The work is set to be performed in Tampa, Florida, with responses due by May 28, 2026. This initiative underscores the government’s focus on integrating AI-driven solutions into national defense cybersecurity frameworks to stay ahead of evolving threats.

General Info

Development of AI-driven predictive analytics for cyber threat forecasting by US Special Operations Command.

Agency

Department Of Defense → Hq Ussocom

NAICS

518210 - Computing Infrastructure Providers, Data Processing, Web Hosting, and Related ServicesView NAICS

Place of Performance

Tampa, FL, 33621, 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 → Hq Ussocom
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Defense → Hq Ussocom
Office AddressN/A
ContactsNo contact information available

Full Description

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Development of a predictive analytics engine using AI to forecast emerging cyber threats based on historical data, adversary behavior patterns, and open-source intelligence.