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
適用對象
- 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
您將獲得
- 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
常見問題
透過滲透測試強化NIST AI RMF合規性
以真實攻擊模擬驗證您的安全控制措施。我們的OSCP認證從業者在外部網路、內部網路、Web應用程式、行動應用程式、API、IoT、無線網路和Red Team八個領域執行手動、方法論導向的測試。
瞭解滲透測試