unified
UC-AI-23 — Prevent misuse of AI systems for cyber offense and catastrophic harm
Recognize and refuse requests that seek meaningful uplift for offensive cyber operations or for biological, chemical, nuclear, or radiological harm, calibrated to the capability level of the deployed models; monitor for misuse patterns, escalate and report confirmed attempts, and keep refusal policies, classifiers, and escalation procedures current as capabilities change. Retain misuse-detection configurations, incident records, and periodic review evidence.
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-23
- title
- Prevent misuse of AI systems for cyber offense and catastrophic harm
- statement
- Recognize and refuse requests that seek meaningful uplift for offensive cyber operations or for biological, chemical, nuclear, or radiological harm, calibrated to the capability level of the deployed models; monitor for misuse patterns, escalate and report confirmed attempts, and keep refusal policies, classifiers, and escalation procedures current as capabilities change. Retain misuse-detection configurations, incident records, and periodic review evidence.
- domain
- AI Governance
- control_type
- preventive
- control_category
- technical
- members
- framework
- aiuc-1
- control_id
- F001
- coverage
- full
- relationship
- superset_of
- framework
- aiuc-1
- control_id
- F002
- coverage
- full
- relationship
- superset_of
- guidance
Source
No record-specific source URL is provided.
Connections
- UC-AI-23 — Prevent misuse of AI systems for cyber offense and catastrophic harm mitigates Misuse of AI systems for offensive cyber operations or catastrophic harm
- strength
- primary
- rationale
- Refusal policies and classifiers for offensive-cyber and CBRN uplift, with escalation of confirmed attempts, are the direct defense against catastrophic misuse.
- UC-AI-23 — Prevent misuse of AI systems for cyber offense and catastrophic harm maps_to F001 — Prevent AI cyber misuse
- framework
- aiuc-1
- control_id
- F001
- 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-23 — Prevent misuse of AI systems for cyber offense and catastrophic harm mitigates AI power concentration and erosion of societal trust
- strength
- related
- rationale
- Misuse safeguards on frontier-capability systems limit their use to erode public safety and societal trust.
- UC-AI-23 — Prevent misuse of AI systems for cyber offense and catastrophic harm mitigates AI safety failures causing physical or psychological harm
- strength
- related
- rationale
- Refusing uplift for weapons and attacks prevents the most severe category of AI-enabled harm to people.
- AI Guardrail Configuration & Agent Permission Review operates UC-AI-23 — Prevent misuse of AI systems for cyber offense and catastrophic harm
- UC-AI-23 — Prevent misuse of AI systems for cyber offense and catastrophic harm maps_to F002 — Prevent catastrophic misuse
- framework
- aiuc-1
- control_id
- F002
- 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.