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
- Submission page
- Homepage
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)