Servicemember Quality of Life Improvement and National Defense Authorization Act for Fiscal Year 2025, Section 1514 ("Management and cybersecurity of multi-cloud environments")

Mandates the Secretary of Defense to assess means to increase the use of AI in the DoD's multi-cloud environment and identify policies and processes to enforce Government data is protected in the training of AI models.

  • Authority: United States Congress
  • Parent authority: Federal government
  • Jurisdiction: United States
  • Collections: FY2025 NDAA;NDAA provisions
  • Most recent activity: Enacted
  • Most recent activity date: 2024-12-23

Risk subdomain coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.

  • AI system security vulnerabilities

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

  • Compromise of privacy
  • Cyberattacks, weapon development or use
  • Competitive dynamics
  • Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of approximately 3-4 subdomains, with primary focus on AI system security (2.2), competitive dynamics (6.4), and lack of robustness (7.3). Coverage is concentrated in security and system safety domains, with limited attention to governance failure risks.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

  • National Security

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

  • Information

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs the National Security sector, as it mandates the Department of Defense to develop strategies for managing multi-cloud environments and AI adoption. It also has implications for the Information sector through requirements for cloud service providers and data protection in AI model training.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding statutory provision enacted by the United States Congress as part of the National Defense Authorization Act for Fiscal Year 2025, with mandatory obligations imposed on the Secretary of Defense using legally binding language.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: United States Congress
  • Summary: The document is Section 1514 of the Servicemember Quality of Life Improvement and National Defense Authorization Act for Fiscal Year 2025, which is enacted by the United States Congress as the legislative authority.

Target

  • Entity Types: AI_Governance_Actor, AI_Deployer
  • Entities: Secretary of Defense; Chief Information Officer of the Department of Defense; Department of Defense
  • Summary: The document explicitly targets the Secretary of Defense and the Chief Information Officer of the Department of Defense, requiring them to develop and implement a multi-cloud management and cybersecurity strategy, including AI adoption measures.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: United States Congress; congressional defense committees
  • Summary: The congressional defense committees serve as the enforcement mechanism through mandatory briefing and submission requirements, providing congressional oversight of the Department of Defense's compliance with the statutory obligations.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: congressional defense committees; Chief Information Officer of the Department of Defense
  • Summary: The congressional defense committees monitor compliance through required submissions and briefings. The Chief Information Officer also has monitoring responsibilities for implementation of the multi-cloud strategy and cybersecurity measures.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

  • Plan and Design
  • Collect and Process Data
  • Build and Use Model
  • Verify and Validate
  • Deploy
  • Operate and Monitor

AI Lifecycle Summary

The document primarily addresses the Deploy and Operate and Monitor stages of the AI lifecycle, focusing on the adoption of AI applications into multi-cloud environments and ongoing management of those systems. It also touches on Plan and Design through strategy development requirements.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

  • AI Models

Technical Scope Summary

The document explicitly mentions AI applications and AI models in the context of multi-cloud environments. It addresses the use of government data to train AI models and the adoption of AI applications into DoD systems. No specific AI categories (frontier, general purpose, task-specific, foundation models, generative, predictive) or compute thresholds are mentioned.

https://www.congress.gov/bill/118th-congress/house-bill/5009/text
https://agora.eto.tech/instrument/1743
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Document data from AGORA, CSET Emerging Technology Observatory.