Citation

NIST AI Risk Management Framework - Footnote 23

partial85% confidence

1 evidence check

Last checked: 4/3/2026

The source does not mention Dropbox's use of specialized security solutions for LLM-powered applications. The source does not specifically mention AI Governance Committees being formed to address bias, privacy, and unintended consequences, although it does discuss forming a cross-functional governance committee. The source does not mention tracking diversity in AI systems.

Evidence — 1 source, 1 check

www.netsolutions.com/insights/nist-ai-rmf-case-study/(1 check)

partial85%Haiku 4.5 · 4/3/2026

Found: Case studies from successful implementations include Dropbox's use of specialized security solutions for LLM-powered applications and healthcare organizations forming AI Governance Committees to addre…

Note: The source does not mention Dropbox's use of specialized security solutions for LLM-powered applications. The source does not specifically mention AI Governance Committees being formed to address bias, privacy, and unintended consequences, although it does discuss forming a cross-functional governance committee. The source does not mention tracking diversity in AI systems.

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Record ID: page:nist-ai-rmf:fn23