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NIST AI RMF External Framework Crosswalk

Generated Evaluation Status

This section is generated from the framework manifest and compatibility report. Do not edit it manually.

  • Framework ID: nist-ai-rmf
  • Manifest: docs/external-frameworks/nist-ai-rmf.json
  • Compatibility report: ./reports/nist-ai-rmf.compatibility.json
  • Evidence class: SOURCE_REVIEWED
  • Independently reproducible: False
  • Comparative-testing claim allowed: False
  • Missing reproducibility gates: shared_test_vector, raw_output, timestamp, runtime_configuration, source_version_or_hash, replay_commands, declared_expected_outcome, independent_reproduction
  • Evaluation result: COMPATIBILITY_EVIDENCE_ONLY
  • Cycle status: FIRST_FRAMEWORK_CYCLE_COMPLETE
  • Execution authority claim: False
  • Next bounded action: Add executable observations, raw outputs, pinned versions, replay commands, and independent reproduction before making comparative-testing claims.
  • Posting source: generated compatibility report
  • Generated status is descriptive compatibility evidence only.

Generated Authored Analysis Boundary

This section is generated. Do not edit it manually.

  • Framework ID: nist-ai-rmf
  • Framework name: NIST AI RMF
  • Generated sections above this boundary may be rebuilt from registry, manifest, compatibility-report, and result artifacts.
  • Authored analysis below this boundary may contain interpretation, notes, and framework-specific discussion.
  • Generators must preserve authored analysis unless a future validator explicitly declares a migration path.
  • Boundary rule: generated material is descriptive compatibility evidence only and does not create certification, endorsement, adoption, proof, or operational permission.

Generated Transition Mapping

This section is generated from the framework manifest. Do not edit it manually.

FieldGenerated Value
framework_identityNIST AI RMF
source_referencehttps://www.nist.gov/publications/artificial-intelligence-risk-management-framework-ai-rmf-10
source_versionNIST AI RMF 1.0 / NIST AI 100-1 / 2023-01-26
allowed_use_boundaryrisk-management crosswalk evidence only
claimsrisk management, trustworthiness considerations, lifecycle review, evaluation support
non_claimsno admissibility proof, certification, endorsement, or execution authority
input_artifact_typerisk-management guidance artifact
output_artifact_typecrosswalk and compatibility evidence
actor_or_authority_modelexternal guidance posture; no StegVerse authority inherited
evidence_modelrisk and evaluation evidence posture
policy_or_rule_modelrisk-management and trustworthiness guidance
delegation_modelnot asserted by wiki entry
decision_or_result_modelcomparison evidence only
execution_authority_claimfalse
receipt_or_trace_modelsource reference and wiki record
reconstruction_modelsource plus crosswalk can reconstruct risk-management relationship limits
SPE_overlapmay inform evidence/review posture, not standing determination
StegVerse_ecosystem_overlapEvidence Posture, Review Posture, Governance Boundary, Policy Reference
fail_closed_conditionsmissing source, undefined mapping, or authority overclaim

Generated mapping is compatibility evidence only.

Generated Framework Metadata

This section is generated from the external-framework registry. Do not edit it manually.

  • Framework ID: nist-ai-rmf
  • Name: NIST AI RMF
  • Registry status: SOURCED-CROSSWALK-PROVISIONAL
  • Testbench state: SOURCE_RECORDED_CROSSWALK_PROVISIONAL
  • Manifest path: docs/external-frameworks/nist-ai-rmf.json
  • Source reference: https://www.nist.gov/itl/ai-risk-management-framework
  • Metadata boundary: generated metadata is descriptive only; it does not create certification, endorsement, formalism adoption, admissibility proof, or execution authority.

Status

Relationship type: external framework crosswalk
Canonical StegVerse formalism source: Admissible-Existence
External framework role: voluntary AI risk-management framework
Source version: NIST AI RMF 1.0 / NIST AI 100-1 / 2023-01-26
Source content SHA-256: 7576edb531d9848825814ee88e28b1795d3a84b435b4b797d3670eafdc4a89f1
Wiki role: convergence, mapping, and relationship review
Evidence posture: SOURCE_CONTENT_HASH_PINNED_MAPPING_OBSERVED_RUNTIME_NOT_APPLICABLE
Local completion posture: LOCAL_WORK_COMPLETE_BOUNDED_CROSSWALK
Crosswalk class: risk_management_crosswalk
General compatibility claimed: false
Execution authority granted: false

Official source

Pinned official publication record:

NIST AI Risk Management Framework (AI RMF 1.0)
NIST AI 100-1
published: 2023-01-26
publication: https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-ai-rmf-10
source PDF: https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-1.pdf
doi: https://doi.org/10.6028/NIST.AI.100-1
source content SHA-256: 7576edb531d9848825814ee88e28b1795d3a84b435b4b797d3670eafdc4a89f1
source size: 1946127 bytes

The immutable hash was captured from the official NIST PDF by repository-native workflow run 31290014846. The hash-only workflow artifact is 9031064931, digest sha256:367f339c5f8b4175ec9381042876531abff2ecaa97afd59e1cf22fe0e5b421ad. The durable receipt is docs/external-frameworks/source-receipts/nist-ai-rmf-1.0.source.json. The source PDF itself is not redistributed by this repository.

NIST describes AI RMF 1.0 as voluntary guidance intended to help organizations manage AI risks and incorporate trustworthiness considerations into the design, development, deployment/use, and evaluation of AI systems. That source claim is preserved here as framework-native context; it is not converted into StegVerse execution authority.

Evidence Provenance

Evidence ClassCurrent EvidenceStatusRemaining gap
Official Framework SourcesNIST AI RMF 1.0 / NIST AI 100-1 publication record plus official PDF content hash and durable receipt.source_content_hash_pinnedNo local source-identification gap.
Official Implementation SourcesNIST AI RMF is guidance rather than a runtime authorization implementation.not_applicable_standard_frameworkA future implementation/profile is a new evidence transition.
Observed BehaviorNo native runtime behavior is claimed for the guidance document.not_applicable_for_runtime_resultRuntime evidence must not be manufactured.
Reproduced BehaviorNo independent NIST runtime reproduction is claimed.not_applicableNot required for this bounded guidance crosswalk.
StegVerse AnalysisRisk management, trustworthiness, lifecycle review, and evaluation support are mapped to admissibility primitives.risk_management_crosswalkMapping remains bounded to cited source and installed fixtures.
Interoperability AssessmentStegVerse mapping/report/contract surfaces were exercised by hosted validation; the result is review evidence only.bounded_crosswalk_observedNo certification, endorsement, or execution authority.
StandingRisk/review evidence only.boundedNo standing, delegation, or execution authority inherited.

Evidence classification:

F1: official NIST AI RMF 1.0 / NIST AI 100-1 publication identity and immutable official-PDF content hash.
S1: StegVerse interpretation of NIST AI RMF as risk-management and trustworthiness review context.
S2: installed mapping to Evidence Posture, Review Posture, Governance Boundary, Policy Reference, Runtime Transition Governance, Decision Continuity, and Admissible-Existence Validation Factory.
H1: any future NIST-endorsed implementation/profile or independent interoperability package is a separate evidence transition and is not implied by this crosswalk.

Framework-Term Definitions

Native NIST AI RMF TermDefinition For This WikiReconciliation ClassAdmissibility Relationship
AI Risk Management FrameworkVoluntary external AI risk-management guidance.newPreserved as NIST-native framework terminology.
Risk managementIdentification, evaluation, prioritization, and treatment of AI-related risk.adjacentRelated to Evidence Posture and Review Posture; not equivalent to admissibility.
Trustworthiness considerationsQualities and considerations used to evaluate whether AI systems may be trusted in context.adjacentRelated to Governance Boundary and Policy Reference; does not create standing.
AI lifecycle reviewReview across design, development, deployment/use, and evaluation phases.adjacentRelated to Runtime Transition Governance and Decision Continuity.
Evaluation supportGuidance and material supporting evaluation of AI systems.adjacentRelated to the Admissible-Existence Validation Factory without granting certification.

StegVerse testing actually observed

Canonical hosted validation run 31286539431 at commit adefe149ed651af9c9912c01e33eb0f89794304c preserved full-validation-chain-report artifact 9030026096 with digest sha256:882a69adccc4268ab7a5e9a850fbd535bef0a5f0c301cb3b9d28df0dfdce4fed.

Within that hosted run:

check_external_framework_governance_compatibility.py: PASS
nist-ai-rmf_case_families: 6
check_external_framework_benchmark_mappings.py: PASS
check_external_framework_benchmark_fixtures.py: PASS
check_external_framework_reports.py: PASS

Source reconstruction was subsequently strengthened by run 31290014846, which fetched the official NIST PDF, validated PDF magic, and produced the immutable source receipt above.

This establishes that the NIST mapping/report/contract surfaces were actually exercised by StegVerse's canonical validation chain and that the exact official source content used for the crosswalk is reconstructably identified. It does not establish a native NIST runtime execution, independent NIST implementation reproduction, NIST endorsement, certification, standing, or execution authority.

Six bounded governance cases

The compatibility contract tests six distinct transition conditions:

Case familyNIST/RMF evidence postureExpected StegVerse treatment
Positive alignmentCurrent risk/review evidence aligns with current policy and authorityALLOW only if StegVerse authority/admissibility predicates independently pass
Negative framework resultRisk/review evidence indicates unacceptable postureDENY
Authority/delegation failureRMF evidence exists but current actor/delegation is invalidDENY
Stale/missing evidenceRequired current evidence is absent or staleFAIL_CLOSED
Malformed/undefined inputMapping cannot be evaluated deterministicallyFAIL_CLOSED
Semantic divergenceOrganization/lifecycle risk posture is applied to the wrong transition scopeDENY

Exact governance-chain position

NIST AI RMF source/profile evidence
-> Evidence Posture / Review Posture input
-> Governance Boundary / Policy Reference context
-> StegVerse standing + authority + delegation reconstruction
-> commit-time admissibility evaluation
-> execution authority determination
-> commitment / consequence

NIST AI RMF sits upstream of commit-time admissibility as risk-management and review evidence. It does not independently perform StegVerse standing reconstruction, current delegation validation, target/consequence binding, or execution authorization.

Claims versus demonstrated abilities

Claim or capabilityEvidence-backed finding
Provides AI risk-management guidanceSupported by the pinned and hashed official NIST publication.
Provides trustworthiness-oriented lifecycle guidanceSupported by the official framework description and StegVerse mapping.
Can inform StegVerse review/evidence postureDemonstrated by the installed mapping fixture, report, and hosted validation PASS.
Determines current actor standingNot demonstrated / outside framework role.
Reconstructs current delegationNot demonstrated / outside framework role.
Decides commit-time admissibilityNot demonstrated / explicitly not claimed.
Grants execution authorityNo.
Produces a native runtime authorization resultNot applicable; AI RMF is guidance rather than an authorization runtime.

Failure Classes

SOURCE_MISSING
SOURCE_VERSION_UNDEFINED
SOURCE_HASH_MISMATCH
MAPPING_INCOMPLETE
EVIDENCE_STALE_OR_MISSING
AUTHORITY_OR_DELEGATION_INVALID
SEMANTIC_SCOPE_DIVERGENCE
MALFORMED_OR_UNDEFINED_MAPPING
AUTHORITY_OVERCLAIM

Any attempt to convert organization-level or lifecycle risk-management alignment into action-level permission fails closed at the StegVerse boundary.

Validation Completion Criteria

This bounded evaluation is complete only when source identity and content hash are preserved, mapping/fixture/report surfaces validate, the six-family governance contract remains deterministic, terminology and provenance validators pass, and the public page continues to distinguish review evidence from standing, admissibility, certification, and execution authority.

Next Safe Build Target

A later NIST-endorsed implementation, profile, or independent interoperability artifact may be ingested as a new evidence packet. It must not retroactively strengthen this bounded guidance crosswalk without its own provenance, validation, and authority review.

Completion boundary

All locally executable work required for this bounded standards-framework evaluation is represented: official source/version identification, immutable source-content receipt, installed mapping fixture, benchmark mapping, compatibility report, six-family StegVerse governance contract, hosted validation observation, claims-versus-capabilities analysis, terminology reconciliation, governance-chain placement, failure classes, and explicit non-capabilities.

Because NIST AI RMF 1.0 is a guidance framework rather than an authorization runtime, native runtime execution and runtime replay are not applicable completion requirements and must not be manufactured. A future NIST-endorsed implementation, profile, or external interoperability package would constitute a new evidence transition rather than a missing local task in this bounded AI RMF 1.0 crosswalk.

Non-Claims

NIST AI RMF is not a StegVerse canonical formalism.
NIST AI RMF does not prove transition admissibility.
Voluntary risk-management guidance does not grant execution authority.
StegVerse compatibility evidence is not NIST certification or endorsement.
Hosted validation of the crosswalk is not native NIST runtime execution.

Challenge Path

A reader may challenge this reflection by identifying the claim, challenged field, reason, supporting evidence, and requested correction or standing change.

This page reflects a bounded admissibility packet. Publication does not create standing. The reflected claim inherits only the standing that can be reconstructed from the referenced evidence, authority, and admissibility conditions.