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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.

AI-Driven Real-Time Threat Detection Engine

Closed
Federal

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The contract involves the development and integration of an advanced AI-powered system designed to detect cyber threats in real-time within encrypted commercial internet traffic, without the need for decryption. The system will utilize behavioral baselining and anomaly detection techniques to identify potential threats, enhancing cybersecurity measures while preserving the privacy of encrypted data. This project represents a subcontract opportunity issued by the Department of Defense under the agency Hq Ussocom. The work is to be performed in Tampa, Florida, with a submission deadline set for late May 2026. The contract falls under the NAICS code 511210, related to software publishers, reflecting the technical and software-oriented nature of the work. This initiative underscores the importance of secure, real-time cyber threat detection capabilities, especially within sensitive government and commercial networks, through innovative AI solutions.

General Info

Develop AI system for real-time encrypted cyber threat detection, preserving data privacy, Tampa-based.

Agency

Department Of Defense → Hq Ussocom

NAICS

511210 - NAICS Code 511210View NAICS

Place of Performance

Tampa, FL, 33621, USA

Set-Aside

NONE

Documents

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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 and integration of an AI-powered system for real-time detection of cyber threats in encrypted commercial internet traffic without decryption, using behavioral baselining and anomaly detection.