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NIST / CAISI requests for information on AI

Type
Public reporting channel
Lieu
États-Unis — United States
Dernière vérification
2026-09-22
Prochaine vérification
2027-03-21

Pas encore traduit — affiché en anglais.

Comment les joindre

Ce qu'il fait

Technical input from developers, deployers and security researchers on AI security and standards questions. Recent dockets have covered unique security threats to AI agents, security practices and technical controls, assessment methods for identifying and managing AI vulnerabilities, deployment constraints and monitoring, and research and policy priorities.

Évaluation franche

Among the best returns on effort for a technically credible individual. NIST outputs become de facto standards referenced in procurement and regulation worldwide, NIST explicitly solicits practitioner detail, and RFI response volumes are low enough that a substantive submission is genuinely read. Evidence of influence is visible in how NIST documents cite and reflect RFI input.

Comment déposer

Via regulations.gov using the docket number in the Federal Register notice. Answer the numbered questions directly and in order — this is the single most effective structural choice, because NIST staff synthesise responses question by question.

Format

Written response keyed to the RFI's question numbering; attachments accepted.

Calendrier

Windowed, announced in the Federal Register. Examples: AI agent security RFI closed 9 March 2026 (937 comments); NVD modernisation RFI open until 13 October 2026, 11:59pm ET.

Ce qui se passe ensuite

Responses are public on the docket and feed NIST publications, profiles and frameworks (e.g. the Cyber AI Profile, AI agent security guidance).

Ce qu'il accepte

Technical input from developers, deployers and security researchers on AI security and standards questions. Recent dockets have covered unique security threats to AI agents, security practices and technical controls, assessment methods for identifying and managing AI vulnerabilities, deployment constraints and monitoring, and research and policy priorities.

Ce qu'il n'accepte pas

General opinion. NIST asks for concrete examples, best practices, case studies and actionable recommendations, and structures RFIs around numbered question areas.

Géré par

National Institute of Standards and Technology, US Department of Commerce (including the Center for AI Standards and Innovation)

Sources

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