{
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  "record_id": "VXI-EXT-PROCUREMENT-FIGMA-TRAINING-01-v1",
  "record_kind": "external_reference",
  "title": "Figma AI evidence: Feature access and content-training settings",
  "system": "Figma",
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  "index_status": "PUBLIC_SAFE_SOURCE_REVIEW",
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    "Is Figma AI access separate from content training?",
    "Does paying for Figma disable model training automatically?",
    "Which Figma admin setting controls content training?",
    "Does turning Figma training off cover new edits?",
    "Can a Figma training toggle prove historical model deletion?",
    "Do Figma Starter and Enterprise training defaults differ?",
    "Which team does a Figma training setting apply to?",
    "Can an agent infer training status from available Figma AI tools?",
    "What dated evidence supports a Figma no-training claim?",
    "Does the Figma setting cover an external design assistant?",
    "What should a Figma procurement review preserve?",
    "When should Figma training policy be checked again?"
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      "reliance": "DOCUMENTED_CAPABILITY_ONLY"
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    "Independent execution, completeness or security testing",
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  ],
  "public_summary": "Figma documents separate controls for AI feature access and content training. Training defaults depend on plan, and switching training off applies to new content and edits. Verify the actual team or organization setting; neither a paid plan nor an AI-enabled interface alone proves the training choice.",
  "related_record_ids": [
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    "VXI-EXT-PROCUREMENT-ATLASSIAN-RESIDENCY-01-v1",
    "VXI-EXT-PROCUREMENT-SUPABASE-BACKUP-01-v1",
    "VXI-EXT-PROCUREMENT-LINEAR-SCIM-01-v1"
  ],
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    "source_type": "official_external_documentation",
    "source_title": "Figma content-training controls by plan",
    "source_url": "https://help.figma.com/hc/en-us/articles/17725942479127-Manage-AI-settings-and-content-training-for-your-team-or-organization",
    "checked_on": "2026-10-14",
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  },
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    "classification": "DOCUMENTED_WITH_DEPLOYMENT_BOUNDARY",
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    "required_buyer_context": "Plan, team or organization scope, current content-training setting and the date any change took effect.",
    "missing_evidence": "A broader claim needs evidence matching the intended use. Payment does not upgrade the evidence state."
  },
  "private_boundary": "Raw logs, thresholds, private paths, source code, protected mechanisms and reconstruction-level details are excluded from public and paid delivery.",
  "decision_profile": {
    "schema": "varexis-vendor-evidence-review/1",
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    "checked_on": "2026-10-14",
    "claim_to_check": "Our paid Figma account automatically excludes all content from AI training.",
    "documented_statement": {
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      "The plan and team or organization to which that setting applies",
      "Clarification of historical-content treatment if the review requires it"
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    "review_condition": {
      "status": "varexis_review_policy",
      "statement": "Require configuration evidence before making a customer-specific no-training claim; do not infer retroactive removal from a prospective setting."
    },
    "unknowns": "The buyer configuration, contract, effective entitlement and operational evidence have not been inspected. Missing evidence does not establish absence or failure of the feature.",
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        "url": "https://help.figma.com/hc/en-us/articles/17725942479127-Manage-AI-settings-and-content-training-for-your-team-or-organization",
        "final_url": "https://help.figma.com/hc/en-us/articles/17725942479127-Manage-AI-settings-and-content-training-for-your-team-or-organization",
        "title": "Figma content-training controls by plan",
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    "commercial_reliance_boundary": "Procurement evidence support only; no supplier clearance, legal conclusion, configuration audit or verification of the buyer's claim is supplied.",
    "paid_value": {
      "decision_context": "Preserve the configuration questions behind a design-data procurement decision.",
      "free": "Complete review, practical questions, sources and limitations; may be saved locally.",
      "single_request": "Existing server-saved version-bound route snapshot for later authenticated retrieval.",
      "evidence_receipt": "The same snapshot plus the existing unsigned delivery receipt.",
      "excluded": [
        "Fresh vendor research",
        "Continuous monitoring or change alerts",
        "Testing the buyer configuration",
        "Private evidence or vendor certification"
      ],
      "integrity": "Hashes identify content versions; they do not prove truth or provide a signature."
    },
    "revalidation": {
      "trigger": "A saved purchase does not recheck the source or buyer configuration.",
      "specific_watch": "Recheck plan defaults, organization scope and the effect of later setting changes."
    }
  },
  "paid_access_note": "The full published answer and boundaries are free. Paid access saves the selected route and source versions, with an unsigned receipt when purchased. Preview coverage before paying. Fresh research, bespoke assessment and protected evidence are excluded.",
  "service_route": {
    "request_guide": "/varexis-index/request.html",
    "request_workflow": "/varexis-index/request-workflow.json",
    "service_id": "single_request",
    "service_routes_url": "/varexis-index/service-routes.json",
    "payment_required": true,
    "availability_endpoint": "/api/index/capabilities",
    "operational_status": "AUTOMATIC_SERVICE_CAPABILITIES_GATED",
    "checkout_url": "/index-access"
  },
  "authority_boundary": "VAREXIS-INDEX informs evidence reliance. It does not provide advice, certification, deployment authority, security assurance, production approval, or guarantee.",
  "human_page": "/varexis-index/catalog.html#figma-ai-training-setting-check",
  "machine_readable_record": "/varexis-index/records/figma-ai-training-setting-check.json"
}