The NIST AI Risk Management Framework (AI RMF 1.0) provides a structured approach to identifying, assessing, and mitigating risks associated with AI systems.
Top Floor helps organizations implement the four core functions of the AI RMF: Govern, Map, Measure, and Manage.
This is an emerging area where most organizations are still figuring out the right approach. We bring practical experience translating the AI RMF into actionable controls and governance processes.
Frameworks: NIST AI RMF 1.0, NIST AI 600-1 (Generative AI Profile), ISO/IEC 42001
Para quién es
- Technology companies deploying AI/ML models in production
- Healthcare and life sciences organizations using AI for clinical or operational decisions
- Financial services firms using algorithmic decision-making
- Government contractors building AI systems subject to federal AI governance requirements
- Organizations proactively preparing for EU AI Act or state-level AI regulation
Qué obtiene
- AI system inventory and risk categorization
- AI RMF gap assessment across Govern, Map, Measure, and Manage functions
- AI governance policy and procedures development
- AI risk assessment methodology and risk register
- AI impact assessment templates and execution guidance
- Ongoing monitoring and reporting framework for AI systems
Preguntas Frecuentes
Fortalezca su Cumplimiento de NIST AI RMF con Pruebas de Penetración
Valide sus controles de seguridad con simulación de ataques del mundo real. Nuestros expertos certificados OSCP realizan pruebas manuales y metodológicas en 8 disciplinas incluyendo externa, interna, aplicación web, móvil, API, IoT, inalámbrica y Red Team.
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