Artificial Intelligence Test, Evaluation, Verification, and Validation (TEVV) Capability Request for Information (RFI)

Request for Information (RFI)

This RFI is issued by the Defense Intelligence Agency (DIA) for planning purposes only. It is not a solicitation for proposals or quotes. The DIA is seeking information to improve its understanding of government requirements and industry capabilities related to Artificial Intelligence Test, Evaluation, Verification, and Validation (AI TEVV) for intelligence mission systems. The goal is to establish a mature, scalable, and sustainable AI TEVV capability within the Defense Intelligence Enterprise (DIE).

• Nature of Request: This is an RFI, not a solicitation. Responses will not be accepted as offers, and no contract will be formed. Costs associated with responding are not reimbursable.
• Response Deadline: Responses are due no later than 1700 on 19 February 2026.
• Questions Deadline: Questions regarding this RFI must be submitted by 1200 on 23 January 2026 to ST_Proposal_INBOX@dodiis.mil.
• Submission Instructions: Unclassified responses should be submitted to ST_Proposal_INBOX@dodiis.mil with the subject line "Artificial Intelligence TEVV RFI." Specific instructions are provided for submitting Controlled Unclassified Information (CUI)/For Official Use Only (FOUO) and classified information.
• Use of Information: Submitted information will be used solely for acquisition planning, capability assessment, and strategic roadmap development. It will not be used for intelligence collection or analysis.

The RFI includes detailed questions organized into the following sections:

• Organization Experience: Seeking information on facility clearance, company expertise in AI and TEVV, experience with the Defense Intelligence Agency (DIA) and Department of War (DoW)/Intelligence Community (IC), partnerships, certifications, and lessons learned.

• DIA's Mission: Understanding how respondents perceive DIA's mission and how that informs their AI TEVV approach, including addressing intelligence-specific challenges and multi-INT fusion.

• Frameworks, Methodologies, and Best Practices: Requesting recommendations for implementing a comprehensive AI TEVV framework, establishing testing environments, structuring TEVV activities across the AI lifecycle, organizational models, and integration with existing QA processes.

• TEVV Metrics: Seeking recommendations for metrics to assess AI system performance, reliability, safety, fairness, robustness, and security, and how these metrics apply to different AI application types and risk profiles.

• TEVV Automation and Continuous Monitoring: Inquiring about metrics for assessing AI performance, automated monitoring of deployed AIEC, automating test case generation, and integrating TEVV into development pipelines (DevSecOps, MLOps, etc.).

• Collaboration and Interoperability: Asking about existing initiatives to leverage, ensuring interoperability, managing validation responsibilities across organizations, supporting governance needs, and facilitating collaboration.

• Advanced TEVV Capabilities: Exploring capabilities in red-teaming, assessing vulnerabilities, research on emerging approaches, and TEVV for new AI paradigms (e.g., generative AI).

• Implementation and Lessons Learned: Seeking insights on workforce skills, timelines, resource requirements, critical success factors, unanticipated risks, lessons learned from previous implementations, and recommended approaches for organizations with existing specialized processes.

• Respondents are encouraged to avoid sensitive, proprietary, or classified information where possible.

• The Government reserves the right to select submissions for further information but does not intend to rank submittals or provide individual replies.

Questions & Answers / Clarifications

This document is a template for a Questions and Answers / Comment Matrix, intended to facilitate communication and clarification between potential bidders and the government regarding an opportunity. It appears to be an empty template, as no specific questions or responses are provided within the extracted text.

• The document is a template and does not contain specific questions or answers at this time.

• As this is a template, it does not currently impact the solicitation. It is intended to be populated with vendor questions and government responses to provide further clarification on the opportunity.

Request for Information (RFI)

This RFI is issued by the Defense Intelligence Agency (DIA) for planning purposes only. It is not a solicitation for proposals or quotes. The DIA seeks to understand industry best practices, innovative approaches, mature methodologies, and state-of-the-art tooling to enhance its Artificial Intelligence Test, Evaluation, Verification, and Validation (AI TEVV) capabilities. The goal is to accelerate the adoption and acceptance of AI technologies within the Defense Intelligence Enterprise (DIE).

• Nature of Request: This is an RFI, not a solicitation. Responses will not be accepted as offers, and no contract will be formed. Costs associated with responding are not reimbursable.

• Purpose of Information: To improve understanding of Government requirements and industry capabilities related to AI TEVV.

• Response Format: Use the provided RFI response template. A cover page is permitted. Diagrams, graphs, and designs can be included in responses to questions.

• Submission Deadline: Responses are due no later than 1700, 6 February 2026.

• Questions Deadline: Questions for clarification must be submitted by 1200, 23 January 2026, to ST_Proposal_INBOX@dodiis.mil.

• Unclassified Responses: Submit to ST_Proposal_INBOX@dodiis.mil with the subject line "Artificial Intelligence TEVV RFI."

• CUI/FOUO Responses: Do not transmit via standard email. Request a secure file transfer link via DoD SAFE by emailing ST_Proposal_INBOX@dodiis.mil.

• Classified Responses: Follow submission instructions on the NSA Acquisition Resource Center (ARC) website.

Information submitted will be used solely for acquisition planning, capability assessment, and strategic roadmap development. It will not be used for intelligence collection or analysis. The Government will protect proprietary, competition-sensitive, and company-confidential information.

Respondents are asked to provide insights on:

• Organization experience with AI and TEVV, particularly within the Department of War (DoW) or Intelligence Community (IC).
• Understanding of DIA's mission and operational environment.
• Recommended frameworks, methodologies, and best practices for AI TEVV.
• Metrics for assessing AI system performance, reliability, safety, fairness, robustness, and security.
• Approaches to AI TEVV automation and continuous monitoring.
• Collaboration and interoperability strategies with other DoW and IC entities.
• Advanced TEVV capabilities, including red-teaming and adversarial testing.
• Implementation strategies, lessons learned, and workforce requirements.