Zero Trust RFI Artificial Intelligence

SOL #: ZTAI0001Sources Sought

Overview

Buyer

DEPT OF DEFENSE
Washington Headquarters Services (Whs)
WASHINGTON HEADQUARTERS SERVICES
WASHINGTON, DC, 203011000, United States

Place of Performance

DC

NAICS

No NAICS code specified

PSC

No PSC code specified

Set Aside

No set aside specified

Timeline

1
Posted
Jan 6, 2026
2
Response Deadline
Feb 9, 2026, 5:00 PM

Qualification Details

Fit reasons
  • NAICS alignment with historical contract wins in similar service areas.
  • Scope strongly matches core technical capabilities and delivery model.
Risks
  • Past performance thresholds may require one additional teaming partner.
  • Potential clarification needed on staffing minimums before bid/no-bid.
Next steps

Validate eligibility requirements, assign capture owner, and schedule partner outreach to confirm teaming strategy before submission planning.

Quick Summary

The Department of Defense (DoD) Chief Information Officer (CIO) Zero Trust Portfolio Management Office (ZT PfMO) has issued a Request for Information (RFI) for Artificial Intelligence (AI) and automation solutions to enhance Zero Trust (ZT) assessments. This market research aims to identify Commercial Off-the-Shelf (COTS) platforms and services. Responses are due by February 9, 2026, 12 PM ET.

Purpose & Scope

This RFI seeks market research on COTS platforms and services that leverage automation, AI, and Machine Learning (ML) to accelerate and scale Zero Trust assessments across the DoD enterprise. The goal is to address capacity limitations and support continuous assessment for Target Level Zero Trust milestones. The DoD is interested in industry perspectives on using automation and AI for ZT Purple Team evaluations on UNCLASSIFIED and SECRET networks.

Specific areas of interest include:

  • How automation and AI can support ZT Purple Team activities.
  • Obstacles and best-suited tasks for AI/automation in ZT Purple Teaming.
  • AI's role in identifying attack paths and simulating scenarios.
  • Enhancing analysis of detection and alerting effectiveness.
  • Assisting with report generation.
  • Valuable data sources for AI-powered ZT activities.
  • Emerging trends and innovative technologies.
  • Potential barriers to entry and implementation friction.
  • Data requirements for training neural networks.

Contract & Timeline

  • Type: Sources Sought / Request for Information (RFI)
  • Set-Aside: None specified
  • Response Due: February 9, 2026, 12 PM ET
  • Published: January 6, 2026
  • Agency: Department of Defense, Washington Headquarters Services (WHS)

Submission Requirements

Responses must be unclassified, limited to ten (10) pages, and submitted in MS Word or PDF format. Submissions should include company information (name, DUNS/EUI, CAGE Code, Point of Contact), responses to the requested information, feedback on feasibility, and potential risks/challenges/innovations. Responses must be sent electronically to whs.mc-alex.ad.mbx.eosd-psb-branch-mailbox@mail.mil and leanne.m.condren.civ@mail.mil.

Additional Notes

This notice is for market research purposes only and does not constitute a solicitation or commitment by the Government.

People

Points of Contact

Leanne CondrenPRIMARY

Files

Files

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Versions

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Sources Sought
Posted: Jan 6, 2026
Zero Trust RFI Artificial Intelligence | GovScope