Securing Legacies: Developing an AI-Enhanced Privacy Architecture for Military Family Knowledge Systems
ID: AF244-0004Type: BOTH
Overview

Topic

Securing Legacies: Developing an AI-Enhanced Privacy Architecture for Military Family Knowledge Systems

Agency

Agency: DODBranch: USAF

Program

Type: SBIRPhase: BOTH

Topic Link

https://www.dodsbirsttr.mil/topics-app/

Additional Information

https://www.dodsbirsttr.mil/topics-app/
Timeline
    Description

    The Department of Defense, through the Air Force District of Washington (AFDW), is seeking proposals for the Small Business Innovation Research (SBIR) project titled "Securing Legacies: Developing an AI-Enhanced Privacy Architecture for Military Family Knowledge Systems." The objective of this initiative is to create a privacy-preserving architecture that securely collects and correlates personal data from various sources, ensuring access is granted strictly on a need-to-know basis while addressing critical privacy concerns related to personally identifiable information (PII) and sensitive health data. This project is vital for supporting military families by establishing a dynamic knowledge base that integrates data from the Department of Defense, Veterans Affairs, and other agencies, ultimately enhancing the sense of belonging and purpose for service members and veterans. Interested parties should note that the application due date is November 6, 2024, and further details can be found at the solicitation agency's website: https://www.dodsbirsttr.mil/topics-app/.

    Files
    Title
    Posted
    1730145487909.pdf
    The document outlines a project, titled "Securing Legacies," aimed at developing an AI-Enhanced Privacy Architecture for Military Family Knowledge Systems under the Air Force District of Washington (AFDW). The objective is to create a dynamic knowledge base integrating data from the Department of Defense and other agencies to support military families. The architecture will ensure the secure collection of personal data while addressing privacy concerns, particularly concerning personally identifiable information (PII) and sensitive health data. The proposed research includes essential features such as data anonymization, compartmentalization, lineage tracking, consent documentation, and meticulous access controls. AI technology will play a vital role in monitoring privacy compliance, detecting unauthorized access, and assessing risks to enhance data protection. The project is structured in three phases: Phase I focuses on the feasibility and reference architecture for a knowledge base; Phase II involves developing a prototype that integrates data from various systems; and Phase III explores dual-use applications of the technology across both DOD and commercial sectors. Ultimately, the initiative aims to establish robust protocols for safeguarding military family legacies while enhancing the sense of belonging for service members and veterans.
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