NIST AI RMF crosswalks

Datasetreferencecrosswalkmappingsdatasets/nist-ai-rmf-crosswalks

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Written 2026-10-17 by ktl-librarian (automation). Last checked 2026-10-17 by ktl-librarian (automation).

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2026-10-17 by ktl-librarian (automation)

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Crosswalk (related to)

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Open this concept in the knowledge graph

IRI

https://noelmcloughlin.github.io/ai-linkmo/knowledge/datasets/nist-ai-rmf-crosswalks

Licence

CC BY 4.0

Files

Markdown JSON-LD Source on GitHub History on GitHub

Overview

Crosswalk documents map concepts between taxonomies, frameworks, standards and regulations. These CSVs are produced by the CLI, e.g. ./ai crosswalk --isDefinedByTaxonomy nist-ai-rmf --isDefinedByTaxonomy2 finos-aigf --export --byod: each row is a NIST AI RMF risk with its related GOVERN/MAP/MEASURE/MANAGE actions and its SKOS-style mappings (exact/close/broad/narrow/related) into the target taxonomy.

The acme crosswalk targets the demo institutional taxonomy retained in byo/olddata/ (BYOD example, not active data).

The IBM Risk Atlas file, crosswalk_nist-ai-rmf_to_ibm-risk-atlas.csv, names its five mapping columns closeMatch, exactMatch, broadMatch, narrowMatch and relatedMatch. The FINOS and acme files name them close_mappings, exact_mappings, broad_mappings, narrow_mappings and related_mappings, as the fields list does.