AI-Driven Penetration Testing Collaboration Event (CE)
AI-Driven Penetration Testing (GHOSTCREW) Assessment Event
Held On 19 MAY - 23 MAY 2025
Location: CFIC/VIRTUAL via MS TEAMS
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Q&A Response Session
WHEN: 21 MARCH 2025
WHERE: Virtual via MS TEAMS
PURPOSE: Principal Stakeholder, Mr. Al Mollenkopf, gave additional information about the GHOSTCREW project that may help companies with their whitepaper solution submissions.
View the recorded Response Session HERE.
If you would prefer to download the transcript of the Response Session - CLICK HERE.
Purpose
The Cyber Fusion Innovation Center (CFIC), in collaboration with U.S. Army Cyber Command (ARCYBER) and Army Cyber Technology and Innovation Center (ArCTIC), invites qualified industry partners to submit proposals for the development of GHOSTCREW, an AI-driven platform designed to accelerate experience accumulation for Red Team/Pentest operators. This RFP outlines the requirements for a prototype system capable of accelerating operator experience accumulation by providing numerous recommended courses of action and simulating operator decisions prior to execution in the live environment thus exposing the operator to more learning during a single operation than would occur without the AI assistance and in-stride simulated outcomes.
Background/Synopsis
This Request for Proposal (RFP) solicits innovative solutions via a whitepaper submission in Vulcan for the development of GHOSTCREW, an AI-driven, operational Red Team platform designed to significantly accelerate the experience accumulation of Red Team/Pentest operators. By providing real-time, AI-assisted decision support, simulated tool use outcomes and a centralized repository of lessons learned, GHOSTCREW aims to bridge the gap between foundational training and practical experience, ultimately enhancing the effectiveness and efficiency of Red Team operations using an AI assisted platform during real-world red team operations.
A significant challenge facing our organization is conferring experience to our Red Team/Pentest personnel. While foundational training is readily available, practical experience is primarily gained through live operational missions, which are costly and time-consuming. GHOSTCREW aims to address this challenge by providing an AI assisted platform where operators can conduct operational missions while receiving in-stride assistance, experiment with different attack vectors and learn from previous operations during live operations. The GHOSTCREW platform will accelerate experience accumulation using AI assisted decision making and simulated course of action outcome feedback built directly into the tool chain and user interface of the Red Team Operator.
How You Can Participate
Submissions are CLOSED.
DOWNLOAD THE RELEASE TO VIEW MORE IN-DEPTH INFORMATION!
Teaming Opportunities: Interested in teaming opportunities with other companies? Fill out this form NLT 5:00pm Eastern on 24 MAR to submit your capabilities and information will be collated and provided to you that was submitted by other companies interested, as well. All information provided will be sent out on 26 MAR.
To learn more about how to use Vulcan, please refer to this information on the CFIC website - https://www.cyberfic.org/joinvulcan.
Questions?
For submission-related questions, please contact Brandon Sizemore at bsizemore@cyberfic.org and Amanda Green at agreen@cyberfic.org.
Event Summary
From May 19–23, CFIC and the ARCYBER Technology and Innovation Center (ArCTIC) hosted a fully virtual Assessment Event for the AI-Driven Penetration Testing (GHOSTCREW) initiative. Out of 64 submitted whitepapers, 8 top industry participants were selected to present their innovative solutions to an esteemed Assessment Team. Following engaging demos and evaluations, one company was selected for award on May 29, moving forward into a Statement of Work and contract. This event highlights our commitment to accelerating AI capabilities for the Warfighter through collaboration, competition, and cutting-edge innovation.
Event Outcomes
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64 Total white paper solutions were submitted through Vulcan
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An initial down-select was made based on scores after Assessors grading in the Vulcan platform, then pared down to the Top 8 for virtual demonstration meetings
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From 19 MAY through 23 MAY, virtual demonstrations were held with the Assessment Team through MS Teams
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One company's solution was selected for award on 29 MAY and a SOW / contract is forthcoming
