unified
UC-AI-07 — Verify, validate, and control AI deployment and changes
Verify and validate each AI system against its requirements and responsible-AI objectives, documenting test plans, acceptance criteria, and results before release approval. Gate deployment on a documented deployment plan and sign-off confirming requirements are met. Route updates, retraining, and other changes through the same assessment and approval process, including impact reassessment where relevant, and retain verification records and deployment and change approvals.
Record JSON · Open in map · Data retrieval guide
Catalog revision: 24028ffcfc2b295fa1b08ee6caa84b765f0731b321496bf4f548c49ad2177028. A connection does not establish full coverage.
Attributes
- domain
- AI Governance
- type
- preventive
- category
- technical
Details
- unified_id
- UC-AI-07
- title
- Verify, validate, and control AI deployment and changes
- statement
- Verify and validate each AI system against its requirements and responsible-AI objectives, documenting test plans, acceptance criteria, and results before release approval. Gate deployment on a documented deployment plan and sign-off confirming requirements are met. Route updates, retraining, and other changes through the same assessment and approval process, including impact reassessment where relevant, and retain verification records and deployment and change approvals.
- domain
- AI Governance
- control_type
- preventive
- control_category
- technical
- members
- framework
- iso-42001
- control_id
- A.6.2.4
- coverage
- full
- relationship
- superset_of
- framework
- iso-42001
- control_id
- A.6.2.5
- coverage
- full
- relationship
- superset_of
- framework
- aiuc-1
- control_id
- C002
- coverage
- full
- relationship
- superset_of
- guidance
- source
- nist-ai-tevv-athlon
- sourceTitle
- NIST AI 200-2: TEVV-Athlon Framework for Evaluating AI Systems
- propositionId
- NIST-TEVV-01
- propositionTitle
- Define evaluation objectives, context, and measurements
- sourcePages
- NIST AI 200-2 ipd sections 2.1-2.2, pp. 3-6
- source
- nist-ai-tevv-athlon
- sourceTitle
- NIST AI 200-2: TEVV-Athlon Framework for Evaluating AI Systems
- propositionId
- NIST-TEVV-02
- propositionTitle
- Run evaluations and examine results and limitations
- sourcePages
- NIST AI 200-2 ipd sections 2.3-2.4, pp. 6-7
- source
- nist-ai-tevv-athlon
- sourceTitle
- NIST AI 200-2: TEVV-Athlon Framework for Evaluating AI Systems
- propositionId
- NIST-TEVV-03
- propositionTitle
- Evaluate AI systems in realistic operating settings
- sourcePages
- NIST AI 200-2 ipd section 4.3.2, pp. 14-15; Appendix C, pp. 25-26
Source
No record-specific source URL is provided.
Connections
- AI System Development, Data & Deployment Gate operates UC-AI-07 — Verify, validate, and control AI deployment and changes
- UC-AI-07 — Verify, validate, and control AI deployment and changes mitigates Inaccurate, unreliable or hallucinated AI outputs
- strength
- primary
- rationale
- Pre-release verification/validation against acceptance criteria is the testing control the risk says is insufficient, catching errors before deployment.
- UC-AI-07 — Verify, validate, and control AI deployment and changes maps_to A.6.2.4 — AI system verification and validation
- framework
- iso-42001
- control_id
- A.6.2.4
- coverage
- full
- relationship
- superset_of
- delta
- Not provided
- source_version
- 2023
- provenance
- mapper
- coworkcanvas-compliance-graph
- reviewDate
- 2026-09-07
- direction
- canonical_to_source
- defaultConfidence
- medium
- defaultStatus
- active
- note
- Each member is a documented relationship claim from the canonical unified control to a source control or guidance proposition. relationship: equal|superset_of (full) / intersects_with|subset_of (partial) / informs (guidance). confidence 'medium' = single-mapper, documented, not yet externally corroborated. source_version is the member framework's edition from the standard version register.
- UC-AI-07 — Verify, validate, and control AI deployment and changes mitigates AI safety failures causing physical or psychological harm
- strength
- related
- rationale
- Verifying safety requirements before release blocks unsafe systems from shipping.
- UC-AI-07 — Verify, validate, and control AI deployment and changes maps_to C002 — Conduct pre-deployment testing
- framework
- aiuc-1
- control_id
- C002
- coverage
- full
- relationship
- superset_of
- delta
- Not provided
- source_version
- July 15, 2026 release (quarterly update cadence)
- provenance
- mapper
- coworkcanvas-compliance-graph
- reviewDate
- 2026-09-07
- direction
- canonical_to_source
- defaultConfidence
- medium
- defaultStatus
- active
- note
- Each member is a documented relationship claim from the canonical unified control to a source control or guidance proposition. relationship: equal|superset_of (full) / intersects_with|subset_of (partial) / informs (guidance). confidence 'medium' = single-mapper, documented, not yet externally corroborated. source_version is the member framework's edition from the standard version register.
- UC-AI-07 — Verify, validate, and control AI deployment and changes mitigates Harmful AI bias and discrimination against protected groups
- strength
- related
- rationale
- Validating against responsible-AI fairness objectives tests for discriminatory behavior before release.
- UC-AI-07 — Verify, validate, and control AI deployment and changes maps_to A.6.2.5 — AI system deployment
- framework
- iso-42001
- control_id
- A.6.2.5
- coverage
- full
- relationship
- superset_of
- delta
- Not provided
- source_version
- 2023
- provenance
- mapper
- coworkcanvas-compliance-graph
- reviewDate
- 2026-09-07
- direction
- canonical_to_source
- defaultConfidence
- medium
- defaultStatus
- active
- note
- Each member is a documented relationship claim from the canonical unified control to a source control or guidance proposition. relationship: equal|superset_of (full) / intersects_with|subset_of (partial) / informs (guidance). confidence 'medium' = single-mapper, documented, not yet externally corroborated. source_version is the member framework's edition from the standard version register.
- UC-AI-07 — Verify, validate, and control AI deployment and changes mitigates Insufficient AI resilience and fallback mechanisms
- strength
- related
- rationale
- Acceptance testing can exercise robustness/fallback under out-of-distribution inputs before release.
- UC-AI-07 — Verify, validate, and control AI deployment and changes informed_by NIST-TEVV-01 — Define evaluation objectives, context, and measurements
- framework
- nist-ai-tevv-athlon
- control_id
- NIST-TEVV-01
- coverage
- guidance
- relationship
- informs
- delta
- Not provided
- source_version
- NIST AI 200-2 ipd (Initial Public Draft), August 2026
- provenance
- mapper
- coworkcanvas-compliance-graph
- reviewDate
- 2026-09-07
- direction
- canonical_to_source
- defaultConfidence
- medium
- defaultStatus
- active
- note
- Each member is a documented relationship claim from the canonical unified control to a source control or guidance proposition. relationship: equal|superset_of (full) / intersects_with|subset_of (partial) / informs (guidance). confidence 'medium' = single-mapper, documented, not yet externally corroborated. source_version is the member framework's edition from the standard version register.
- sourcePages
- NIST AI 200-2 ipd sections 2.1-2.2, pp. 3-6
- UC-AI-07 — Verify, validate, and control AI deployment and changes mitigates Emergent behaviour and unsafe AI system integration
- strength
- primary
- rationale
- System-level V&V against requirements exercises the integrated pipeline, catching interface mismatches and emergent failures component testing misses.
- UC-AI-07 — Verify, validate, and control AI deployment and changes informed_by NIST-TEVV-03 — Evaluate AI systems in realistic operating settings
- framework
- nist-ai-tevv-athlon
- control_id
- NIST-TEVV-03
- coverage
- guidance
- relationship
- informs
- delta
- Not provided
- source_version
- NIST AI 200-2 ipd (Initial Public Draft), August 2026
- provenance
- mapper
- coworkcanvas-compliance-graph
- reviewDate
- 2026-09-07
- direction
- canonical_to_source
- defaultConfidence
- medium
- defaultStatus
- active
- note
- Each member is a documented relationship claim from the canonical unified control to a source control or guidance proposition. relationship: equal|superset_of (full) / intersects_with|subset_of (partial) / informs (guidance). confidence 'medium' = single-mapper, documented, not yet externally corroborated. source_version is the member framework's edition from the standard version register.
- sourcePages
- NIST AI 200-2 ipd section 4.3.2, pp. 14-15; Appendix C, pp. 25-26
- UC-AI-07 — Verify, validate, and control AI deployment and changes mitigates Model/data drift and inadequate post-deployment monitoring
- strength
- related
- rationale
- Routing updates/retraining through reassessment and sign-off prevents the uncontrolled updates the risk names, but does not detect the distribution drift at the risk's core; continuous monitoring (UC-08) is the operative defense.
- UC-AI-07 — Verify, validate, and control AI deployment and changes informed_by NIST-TEVV-02 — Run evaluations and examine results and limitations
- framework
- nist-ai-tevv-athlon
- control_id
- NIST-TEVV-02
- coverage
- guidance
- relationship
- informs
- delta
- Not provided
- source_version
- NIST AI 200-2 ipd (Initial Public Draft), August 2026
- provenance
- mapper
- coworkcanvas-compliance-graph
- reviewDate
- 2026-09-07
- direction
- canonical_to_source
- defaultConfidence
- medium
- defaultStatus
- active
- note
- Each member is a documented relationship claim from the canonical unified control to a source control or guidance proposition. relationship: equal|superset_of (full) / intersects_with|subset_of (partial) / informs (guidance). confidence 'medium' = single-mapper, documented, not yet externally corroborated. source_version is the member framework's edition from the standard version register.
- sourcePages
- NIST AI 200-2 ipd sections 2.3-2.4, pp. 6-7
- ISO/IEC 42001 AI Management System Internal Audit tests UC-AI-07 — Verify, validate, and control AI deployment and changes
- AI Governance & Risk/Impact Assessment oversees UC-AI-07 — Verify, validate, and control AI deployment and changes