Instructs the NSA Director to develop AI security guidance focusing on cybersecurity risks and unique challenges. Requires collaboration with AI experts and other departments, including roundtables and expert panels. Mandates initial and final progress reports to congressional committees.
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 6-8 subdomains, with strong focus on AI system security (2.2), malicious actors (4.1, 4.2), competitive dynamics (6.4), governance failure (6.5), and AI safety failures (7.2, 7.3). Coverage is concentrated in security, threat prevention, and system robustness 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 through mandates on the NSA. It also has significant implications for the Information sector (AI developers), Scientific Research and Development Services (AI researchers and National Laboratories), and Professional and Technical Services (consultants and experts engaged in the process). The guidance developed will ultimately apply to any sector developing or deploying advanced AI with national security implications.
Hard Law
Legislative Status Summary
This is a binding legislative act from the United States Congress with mandatory obligations on the NSA Director, specified timelines, and reporting requirements to congressional committees.
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 primarily focuses on the Deploy and Operate and Monitor stages, with emphasis on securing AI systems post-development. It addresses security measures throughout the AI supply chain including model weights protection, but does not extensively cover early-stage planning, data collection, or initial model building phases.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems, AI models, and AI technologies throughout. It focuses on advanced AI with critical capabilities and covers the entire AI supply chain including model weights, training data, and computing environments. It does not explicitly mention frontier AI, general purpose AI, foundation models, generative AI, or specific compute thresholds.
Document data from AGORA, CSET Emerging Technology Observatory.