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Automated Cyber Analytics & Predictive Analysis

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Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This subcontract, titled Automated Cyber Analytics & Predictive Analysis, supports prime contractors operating within the Air Force Research Laboratory OCO operations. The primary objective is the development of an automated analytics engine and predictive analysis software designed to enhance cyber capabilities. Technical requirements focus on implementing machine learning models for pattern recognition in adversary network traffic and utilizing big data analytics and signal processing to predict adversary movements. The project falls under NAICS code 541715 and is managed by the Department of Defense under the FA8750 Afrl Rik agency. Due to the sensitive nature of the work, personnel must possess a TS/SCI clearance and provide a completed DD Form 2345. The contract was posted on July 14, 2026.

General Info

Subcontract for AFRL to develop automated cyber analytics and predictive software using ML.

Agency

Department Of Defense → FA8750 Afrl RikView Agency

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)View NAICS

Place of Performance

NY

Set-Aside

NONE

Documents

This scope was carved out of FA8750-26-S-7004.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Alternate Access for Cyber Applications: Exodus

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Timeline

PostedJul 14

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Organization & Contact Information

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AgencyDepartment Of Defense → FA8750 Afrl Rik

ContactsNo contacts available

OfficeN/A

Organization / Agency

Department Of Defense → FA8750 Afrl Rik

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Office AddressN/A

ContactsNo contact information available

Full Description

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Performs development of automated data analytics and predictive analysis for prime contractors on Air Force Research Laboratory (AFRL) OCO operations. Implements machine learning models for pattern recognition in adversary network traffic and predictive models for adversary movement using Big Data analytics and signal processing. Requires TS/SCI clearance and DD Form 2345. Delivers an automated analytics engine and predictive analysis software.

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