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Past Events

Machine Learning Collaboration Event

Machine Learning Collaboration Event

10 May 2022

 

Cyber Fusion Innovation Center (CFIC) in partnership with U.S. Army Cyber (ARCYBER) and the Technical Warfare Center (TWC) hosted the Machine Learning Collaboration Event on 10 May 2022.

 

Thirty-eight industry, one local university and 11 government officials participated in the collaboration event.

 

Twenty solutions were presented to our government partners at the end of the event for further review and evaluation.

 

This review will lead to the presentation of a solution by our government partners for industry to submit their white paper.

 

Machine Learning Collaboration Event Resources

Current Limitations and Ways to Overcome List: Click Here to Review

Blue Sky Presentations: Click Here to Review

Event Feedback: Click Here to Submit (NLT 17 May 2022)

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Past Events

Cross-Domain Solution Assessment Event

Cross-Domain Solution (CDS) Assessment Event
23 May 2022 

 

The Cyber Fusion Innovation Center (CFIC), in collaboration with U.S. Army Cyber Command (ARCYBER) Technical Warfare Center (TWC), hosted an Assessment Event (AE) to identify a Cross-Domain Solution (CDS) to provide a seamless path for ingestion of Defensive Cyber Operations (DCO) data from a Mission Partner Environment (MPE) to ARCYBER’s Big Data Platform (BDP), performing a one-way data transport function.  

 

The desired end state was to better understand current industry capabilities and determine if those solutions were compatible with addressing a required one-way data transfer capability to enable data movement from a classified coalition network to ARCYBER’s classified instance of BDP.  

 

ARCYBER TWC were interested in CDS capabilities that provided an automated ability to move cybersecurity-related data from an MPE to the ARCYBER’s BDP; it will enable the ARCYBER Enterprise to sense, understand, decide, and act in support of ongoing DCO operations. 

 

MPE is an operating environment that enables operations and intelligence for planning and execution on a network infrastructure at a single security level with a common language. An MPE capability provides the ability for mission partners to share their information with all participants within a specific partnership or coalition. 

 

The desired capability required a software solution which moves data rapidly and logically from one enclave to another. The capability also requires a one-way hardware component to physically separate the two enclaves utilizing a one-way fiber optic solution with a transfer rate of 100Mbps minimum.  Both components must be NSA assessed and approved for use on DoD networks. 

 

There were eleven submissions from ten different companies.  Three solutions from three different companies were selected by ARCYBER TWC to present virtually.  Of the three solutions, one was chosen for further follow-on and analysis of its capabilities in performing a one-way data transport function.  

 

The company chosen for further follow-on and analysis was awarded contract.

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Machine Learning Assessment Event

Machine Learning Assessment Event 
Tentative, 30 August 2022 – 1 September 2022

Purpose
The Cyber Fusion Innovation Center (CFIC), in collaboration with U.S. Army Cyber Command (ARCYBER) Technical Warfare Center (TWC), will host a series of events to identify existing and/or potential capabilities and expertise to reduce cognitive workloads and optimize workflows within its 4 mission areas (defend, operate, influence, and attack) to further increase operational effectiveness. 

Background
Machine learning (ML) and artificial intelligence (AI)-enabled systems can effectively reduce Warfighter burden by automating portions of their workflows to increase Warfighter accuracy and throughput.  Warfighters with shorter, more accurate workflows will therefore increase operational effectiveness across many various lines of effort.  Defensive and offensive cyberspace workflows involve finding a capability or technique to generate an effect somewhere in an environment under certain conditions.  Understanding the entire solution space manually is cumbersome, time-consuming, and in most cases infeasible.  An AI-based system could reduce this problem to the subset of capabilities/techniques that have the highest probability of success given past experience.  This would enable faster and more accurate solution finding, ultimately improving operational effectiveness. 

Known Capability Desirements 

  1. How to proactively and continuously support asset identification and
    compliance at the network edge via at-scale enterprise network traffic
    analytics, in support of the Cyber mission. May include but not limited to identification and status of all end-points, current status of patching, and recommendations for patching priorities.
  2. Automatically identify vulnerable surfaces or likely bad-actor avenues of approach to our network.  May include but not limited to dynamically identifying adversarial Grey and Red space infrastructure.
  3. How to enable dynamic automation, augmentation, or reconfiguration of network infrastructure for detection of malicious intent and intervention against adversary actions in support of cyber operations at the network edge. May or may not include human intervention.
  4. How to identify malicious (preferred) or anomalous behavior in data related to netflow or PCAP.

While the ideal solution is preferred, capabilities that address individual components will be considered. Partnerships among potential solution providers resulting in complete solutions are highly encouraged. 

Event Timeline:

COMPLETE: Phase 1 – 10 May 2022 Machine Learning Collaboration Event: Government, academia, industry, and labs will collaborate to identify currently existing and/or potential capabilities and expertise, identify limitations, and ideate on ways to overcome limited factors. Outcomes from this Collaboration Event will assist in shaping future 2022 CFIC / ARCYBER-hosted events to include potential solution offerors from Industry and Academia. 

Phase 2 – 24 May 2022 to 17 July 2022 Submissions Open: Interested respondents who could potentially provide solutions that meet the needs of the Stakeholders are encouraged to submit their solutions per the instructions below NLT 17 July 2022, 11:59 PM ET

Phase 3 – 20 July 2022 – 5 August 2022 Down-selects: ARCYBER will down-select those respondents/submissions they feel have the highest potential to satisfy their capability needs. Organizations with favorably evaluated submissions will receive an invitation to the Assessment Event (Phase 4) o/a 15 August 2022. 

Phase 4 – 30 August 2022 – 1 September 2022 Assessment Event (AE): During the AE, invited participants will be allotted a one-on-one virtual session with the Government evaluation panel to pitch, demonstrate, and/or discuss their solutions. The forum will include a Q&A portion and discussions may continue outside of the event to determine who (if anyone) proceeds to Phase 5 follow-on efforts.  

Phase 5 – Follow-On: The Government has several acquisition/contract vehicles (i.e., various IDIQ contracts, purchase orders, etc.) to potentially purchase the final system if operationally viable. The Government may elect to purchase all, some, and/or none of the machine learning solutions from Phase 4 for further projects. 

DISCLAIMERS:  

An award under 10 U. S. Code, Section 2371b may result in award of a follow-on production in accordance with 10.U.S.C. 2371(f).  Upon a determination that the competitively awarded prototype project(s) have been successfully completed, and subject to the availability of funds, the prototype project(s) may result in the award of a follow-on production contract or transaction without the use of competitive procedures.  Such awards may include multiple phases.  

Non‐Government advisors may be used in the evaluation of submissions and will have signed Non‐Disclosure Agreements (NDAs) with the Government. The Government understands the information provided in this announcement is presented in confidence and may contain trade secret or commercial or financial information and agrees to protect such information from unauthorized disclosure to the maximum extent permitted and as required by law. An organization's participation in any part of the selection process under this announcement indicates concurrence with the aforementioned use of contractor support personnel. 

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Data As A Service Assessment Event

Data As A Service

Assessment Event
6-8 June 2022

Submission Deadline: 28 April 2022 11:59 PM ET

 

Purpose
The Cyber Fusion Innovation Center (CFIC), in collaboration with U.S. Army Cyber Command (ARCYBER) Technical Warfare Center (TWC), will host an Assessment Event (AE) to identify expertise for access to, and distribution of, various data streams to allow analysts to provide actionable insights for data-informed decisions to drive operations.

Desired End State

Desired end state is to better understand current industry capabilities and determine if those solutions are compatible with addressing access to and distribution of multiple data streams.

Background
ARCYBER requires different data feeds from various sources to inform operational decisions and to enrich ARCYBER’s ability to understand and operate within its mission space. Data is core to everything that ARCYBER does across its mission space. The proposed pilot described here is designed to fully explore Data as a Service (DaaS) feeds from Data as a Service solution providers that offer services by volume or subscription that may support one or more ARCYBER missions areas (Operate, Attack, Defend, and Influence).

Use Case
Data-driven decision-making requires timely data acquisition to inform and develop knowledge and actionable insights. Different operations from across ARCYBER’s operational mission areas of Operate, Attack, Defend, and Influence require different insights on different time horizons involving different data types/feeds. As part of the analyst’s request for information (RFI) workflow, he/she should be able to query applicable data feeds with RFI-specific variables. The query response should include either the raw, unenriched data associated with the target feed, or the insight requested, at the analyst’s discretion. The analyst should also have some indication of the staleness in order to determine a confidence interval on any insights derived.

Known Capability Desirements
**Note: Offerors providing only a subset of the below desirements will still be considered.

  1. Access to publicly available information (PAI), social media, adtech, crawl, or other online data that is enriched or unenriched, and geo-locatable when possible, in order to allow the US Army to assess the Information Environment (IE) efficiently and effectively; Pull out narratives, names, and topics; And detect changes in these aspects of the IE.
  2. Candidate solutions provide one or more application programming interfaces (APIs), or other mechanisms callable with analyst-customized fields from an Unclassified Government-provided cloud.
  3. Data should be received in a standardized format (e.g., JavaScript Object Notation (JSON)) and may include enrichments. Full, original JSON is desired, with additive enrichment where available.
  4. Candidate solutions may involve Government cloud compute pulling data from a provided API, or the candidate pushing to a government cloud storage through other means.
  5. Data should be pushed/pulled in batches and should provide date-time-group associated with various feeds. Solutions that provide API access should allow Army users to be able to pull data on demand (e.g., from minutes to hours).
  6. ARCYBER is looking for data across our mission spaces. In general, ARCYBER is interested in the full data payload, as well as any enrichments that may be available. Enrichments could include geo-enrichment, translation, supervised machine learning (ML) classification, etc.

What is an Assessment Event (AE)?
ARCYBER submits specific problems to solve and CFIC utilizes its ecosystem and market research to attract best-of-breed submissions to solve the problem. ARCYBER subsequently reviews and selects participants with the highest value to present and/or demonstrate their capability in a one-on-one session with Government Stakeholders.

 

Why You Should Participate
ARCYBER seeks to enter into non-FAR or FAR-based agreements with Industry, Academic, and National Lab partners whose solutions are favorably evaluated by ARCYBER Subject Matter Experts. As such, these events are considered competitive in the same manner as a Broad Agency Announcement (BAA) or Commercial Solutions Opening (CSO), and solutions will be evaluated independently of one another primarily for technical merit. This serves dually as notification of the intent to research the feasibility of an agreement under 10 U. S. Code, Section 2371b and/or Section 2371b(f), and as notice of pre-solicitation activities IAW FAR 5.204.

Event Timeline

Complete: Phase 1 – 24 March 2022 Collaboration Event: The Cyber Fusion Innovation Center (CFIC), in collaboration with U.S. Army Cyber Command (ARCYBER) Technical Warfare Center (TWC), is in search of industry expertise for access to, and distribution of, various data streams to allow analysts to provide actionable insights for data-informed decisions to drive operations. If you do not wish to participate in the Collaboration Event, you are free to submit your capability for review for the Assessment Event (AE) after 29 March. RSVP to the CE below, NLT 10 March.

Complete: Phase 2 – 29 March 2022 to 28 April 2022 Submissions Open: Interested respondents who could potentially provide solutions that meet the needs of the Stakeholders are encouraged to submit their solutions per the instructions below NLT 28 April 2022, 11:59 PM ET.

Complete: Phase 3 – 29 April 2022 to 12 May 2022 Down-selects: ARCYBER will down-select those respondents/submissions they feel have the highest potential to satisfy their capability needs. Organizations with favorably evaluated submissions will receive an invitation to the Assessment Event (Phase 4) o/a 12 May.

Phase 4 – 6 June 2022 to 8 June 2022 Assessment Event (AE): During the AE, invited participants will be allotted a one-on-one session with the Government evaluation panel to pitch, demonstrate, and/or discuss their solutions. The forum will include a Q&A portion and discussions may continue outside of the event to determine who (if anyone) proceeds to Phase 5 follow-on efforts.

Phase 5 – Follow-On: The Government has several acquisition/contract vehicles (i.e., various IDIQ contracts, purchase orders, etc.) to potentially purchase the final system if operationally viable. The Government may elect to purchase all, some, and/or none of the Data As A Service solutions from Phase 4 for further projects. 

 

How You Can Participate

  1. Review the Desired End State, Background, Use Case, & Capability Desiresments (See above)
  2. Review the 24 March CE Transcription: Click Here to Review
  3. Review the Vulcan Submission Instructions: Click Here to Review
  4. Download White Paper Template: Click Here to Download
  5. Submit White Paper via Vulcan: Click Here to Submit (NLT 28 April, 11:59 PM ET)

Questions?
For event-related questions, please contact Justin Gunter, jgunter@cyberfic.org

DISCLAIMERS:

An award under 10 U. S. Code, Section 2371b may result in award of a follow-on production in accordance with 10.U.S.C. 2371(f). Upon a determination that the competitively awarded prototype project(s) have been successfully completed, and subject to the availability of funds, the prototype project(s) may result in the award of a follow-on production contract or transaction without the use of competitive procedures.  Such awards may include multiple phases.

Non‐Government advisors may be used in the evaluation of submissions and will have signed Non‐Disclosure Agreements (NDAs) with the Government. The Government understands the information provided in this announcement is presented in confidence and may contain trade secret or commercial or financial information and agrees to protect such information from unauthorized disclosure to the maximum extent permitted and as required by law. An organization’s participation in any part of the selection process under this the announcement indicates concurrence with the aforementioned use of contractor support personnel.

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Past Events

Data as a Service Event

Data As A Service Virtual Event

On 24 March 2022 Cyber Fusion Innovation Center (CFIC) in partnership with U.S. Army Cyber (ARCYBER) and the Technical Warfare Center (TWC) hosted the Data As A Service (DAAS) Virtual Collaboration Event with Industry, Academia, and Laboratory.  Consisted of two collaboration events, a Government only event and then Industry event

The government event consisted of 23 participants, identifying 66 current limitations, resulting in 11 problem statements.  After voting was concluded, one problem statement was released to industry during their event. 

The industry event consisted of 150 participants resulting in the development of 45 questions and answers presented to our government partners for further evaluation.  

From 29 March 2022 to 28 April 2022 there were 134 solution submissions from industry.

Eighteen companies were selected to move forward with capability demonstrations. 

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Past Events

PAI Assessment Event Update

PAI Assessment Event

Event Dates: 26-28 April 2021

Cyber Fusion Innovation Center (CFIC), in collaboration with ARCYBER, has successfully conducted their first Assessment Event. This event was in search of industry expertise, software integration, analytic development, and data visualization capabilities to allow real-time, near real-time, and historical analysis of publicly available information (PAI) posted on mission-determined social media platforms along with government-owned datasets. Technical Warfare Center (TWC), 1st iO, and Gabriel Nimbus SME’s assessed selected organizations to participate in one-on-one sessions with the Government evaluation panel to pitch, demonstrate, and/or discuss their capabilities.

Event Outcomes:

  • Out of 122 total submissions, the ARCYBER team ultimately selected 23 solutions to move forward to the demonstration phase.
  • Virtual one-on-one sessions were hosted to allow selected companies to pitch, demonstrate and discuss their solutions and be asked specific questions by the Government panel.
  • Based on the outcome from the one-on-one discussions, ARCYBER has selected their top 3 candidates to participate in a follow-on prototyping cycle to have their capability further evaluated for feasibility and military utility.
UPDATE:
Out of the three companies in the follow-on prototyping phase, one was awarded contract after evaluation of their prototype.