Directs the NSA Director to develop an AI Security Playbook to identify vulnerabilities in AI technologies and create strategies to respond to cyber threats, informed by expert engagement and government security involvement. Mandates 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 vulnerabilities (2.2), malicious actors including cyberattacks and weapons development (4.1, 4.2), competitive dynamics (6.4), governance structures (6.5), dangerous capabilities (7.2), and lack of robustness (7.3). Coverage is concentrated in security, national security threats, and AI safety 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 mandating NSA action to develop AI security strategies. It also has implications for the Information sector (AI developers and data centers) and Scientific Research and Development Services (AI researchers) through engagement requirements and dissemination of security guidelines.
Hard Law
Legislative Status Summary
This is a binding legislative act from the United States Congress that creates mandatory obligations for the NSA Director with specific timelines, reporting requirements to congressional committees, and formal legislative authority.
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 Build and Use Model stage (addressing model security, model weights, and core algorithmic insights) and the Operate and Monitor stage (addressing ongoing security threats, detection, and response strategies). It also covers aspects of Plan and Design through its focus on security frameworks and preparedness strategies.
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 advanced AI technologies. It focuses on 'covered AI technologies' defined as advanced AI with critical capabilities that pose grave national security threats. The document references specific dangerous capabilities including CBRN, cyber offense, model autonomy, persuasion, R&D, and self-improvement. No compute thresholds or distinctions between general-purpose, task-specific, foundation, generative, or predictive AI are mentioned.
Document data from AGORA, CSET Emerging Technology Observatory.