Instructs the Secretary of Defense to develop a cybersecurity framework for Department of Defense AI and machine learning technologies. Requires tailoring of security requirements in consideration of costs versus benefits and encourages collaboration with private sector and academia.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has good coverage of approximately 5-6 subdomains, with strong focus on AI system security vulnerabilities (2.2), malicious actors and cyberattacks (4.2), competitive dynamics (6.4), and AI system robustness (7.3). Coverage is concentrated in security, supply chain risks, and system reliability domains.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
This document primarily governs the National Security sector, specifically the Department of Defense's procurement and use of AI systems. It also has implications for Professional and Technical Services, Scientific Research and Development Services, and Information sectors through requirements on contractors that develop, deploy, store, or host AI/ML technologies for the DoD.
Hard Law
Legislative Status Summary
This is a binding legislative instrument enacted by the United States Congress as part of the National Defense Authorization Act. It contains mandatory requirements with enforcement mechanisms through federal acquisition regulations.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document comprehensively covers multiple AI lifecycle stages with particular emphasis on Build and Use Model, Verify and Validate, Deploy, and Operate and Monitor stages. It addresses security throughout the development and deployment lifecycle, including supply chain risks, training requirements, and continuous monitoring.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly covers AI systems and machine learning technologies broadly, with specific focus on highly capable AI systems. It does not distinguish between frontier AI, general purpose AI, or task-specific AI, but addresses AI/ML systems acquired by the Department of Defense comprehensively. No compute thresholds or open-weight model distinctions are mentioned.
Document data from AGORA, CSET Emerging Technology Observatory.