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FORMATION IA

Cadre de gestion des risques IA du NIST pour les équipes entreprise

Permettre aux responsables conformité et risques d'intégrer le NIST AI RMF dans la gouvernance IA de leur organisation.

Format
programme
Durée
16–32h
Niveau
practitioner
Taille de groupe
6–20
Prix / participant
€2K–€4K
Prix groupe
€12K–€35K
Public
Risk managers, compliance officers, legal counsels, and IT governance leads at mid-to-large organisations deploying or evaluating AI systems
Prérequis
Basic familiarity with enterprise risk management concepts; no prior AI technical knowledge required

Ce qu'elle couvre

Ce programme guide les participants à travers les quatre fonctions principales du NIST AI RMF — GOUVERNER, CARTOGRAPHIER, MESURER et GÉRER — et montre comment les intégrer aux cadres de gestion des risques existants. Les participants travaillent sur des exercices issus du playbook officiel, apprennent à documenter les profils de risque IA et explorent les liens avec l'AI Act européen et l'ISO 42001. Dispensé sous forme d'atelier structuré ou de programme multi-sessions, il allie instruction et analyse de cas concrets pour que les équipes repartent avec un plan de gouvernance opérationnel.

À l'issue, vous saurez

  • Apply the four NIST AI RMF core functions to a real or hypothetical AI use case in your organisation
  • Complete an AI risk profile using the official NIST AI RMF Playbook worksheets
  • Map identified AI risks to existing ERM categories and escalation paths
  • Identify which EU AI Act risk tiers and NIST categories overlap for a given AI system
  • Draft a governance committee charter with defined AI risk ownership roles

Sujets abordés

  • NIST AI RMF core functions: GOVERN, MAP, MEASURE, MANAGE
  • Using the NIST AI RMF Playbook for AI system risk profiling
  • AI risk categorisation and impact assessment methodologies
  • Integrating AI risk into enterprise risk management (ERM) frameworks
  • Mapping NIST AI RMF to EU AI Act requirements
  • Alignment with ISO/IEC 42001 and NIST Cybersecurity Framework
  • Roles and responsibilities: TEVV, governance committees, risk owners
  • Documenting AI system inventories and risk registers

Modalité

Typically delivered over two to four half-day sessions (remote or in-person), with pre-reading of the NIST AI RMF 1.0 document and Playbook. Sessions are 60% facilitated instruction and 40% applied exercises using participant-supplied or supplied case studies. Materials include annotated playbook worksheets, a risk register template, and a cross-framework mapping table (NIST ↔ EU AI Act ↔ ISO 42001). In-person delivery is recommended for the governance charter workshop component.

Ce qui fait que ça marche

  • Securing cross-functional participation (legal, IT, risk, business owners) from the first session
  • Starting with a concrete, live AI system rather than abstract hypotheticals during playbook exercises
  • Appointing a named AI Risk Owner before the programme ends to drive post-training adoption
  • Scheduling a 30-day follow-up review to assess progress on the draft governance plan

Erreurs fréquentes

  • Treating NIST AI RMF as a checklist rather than an iterative risk management cycle
  • Assigning AI risk ownership solely to IT or data science teams without involving legal and compliance
  • Skipping the MAP function and jumping straight to MEASURE, missing systemic context for AI deployments
  • Conflating NIST AI RMF compliance with EU AI Act compliance without mapping the gaps explicitly

Quand NE PAS suivre cette formation

This training is not the right fit for a team that has no AI systems in production or in active procurement — they would benefit more from an AI strategy or literacy programme before tackling risk framework implementation.

Fournisseurs à considérer

Sources

Cette formation fait partie d'un catalogue Data & IA construit pour les leaders sérieux sur l'exécution. Lancez le diagnostic gratuit pour voir quelles formations sont prioritaires pour votre équipe.