control
NIST-AGI-07 — Prompt provenance and data-flow tracking
The proposed project explores tracking the provenance of user prompts and input data so that risk assessments and policies can take those sources into account when deciding whether an agent may act.
Record JSON · Open in map · Data retrieval guide
Catalog revision: 24028ffcfc2b295fa1b08ee6caa84b765f0731b321496bf4f548c49ad2177028. A connection does not establish full coverage.
Attributes
- framework
- nist-ai-agent-identity
- type
- preventive
- category
- technical
Details
- control_id
- NIST-AGI-07
- framework
- nist-ai-agent-identity
- group
- Agent Identity and Authorization Topics
- domains
- risk_count
- 0
- control_type
- preventive
- control_category
- technical
- automation
- hybrid
- key_control
- False
- requirement_status
- Not provided
- requirement_frequency
- Not provided
- source_url
- https://www.nccoe.nist.gov/sites/default/files/2026-02/accelerating-the-adoption-of-software-and-ai-agent-identity-and-authorization-concept-paper.pdf#page=7
- source_pages
- Concept paper p. 6: Tracking Data Flows of an AI System
- statement
- The proposed project explores tracking the provenance of user prompts and input data so that risk assessments and policies can take those sources into account when deciding whether an agent may act.
Source
Connections
- NIST-AGI-07 — Prompt provenance and data-flow tracking belongs_to NIST Agent Identity (draft, Feb 2026)
- UC-DATA-11 — Control data flows, leakage, and cross-border transfers informed_by NIST-AGI-07 — Prompt provenance and data-flow tracking
- framework
- nist-ai-agent-identity
- control_id
- NIST-AGI-07
- coverage
- guidance
- relationship
- informs
- delta
- Not provided
- source_version
- February 2026 draft concept paper
- 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
- Concept paper p. 6: Tracking Data Flows of an AI System
- UC-AI-09 — Govern AI data quality, provenance, and preparation informed_by NIST-AGI-07 — Prompt provenance and data-flow tracking
- framework
- nist-ai-agent-identity
- control_id
- NIST-AGI-07
- coverage
- guidance
- relationship
- informs
- delta
- Not provided
- source_version
- February 2026 draft concept paper
- 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
- Concept paper p. 6: Tracking Data Flows of an AI System