generated: '2026-09-19' method: searched probe: true source: https://getvda.ai/llms.txt probed: - {url: 'https://getvda.ai/privacy', status: 200, note: SPA shell (17,108-byte index), no privacy page} - {url: 'https://getvda.ai/terms', status: 200, note: SPA shell} - {url: 'https://getvda.ai/legal/subprocessors', status: 200, note: SPA shell} - {url: 'https://getvda.ai/legal/dpa', status: 200, note: SPA shell} - {url: 'https://getvda.ai/privacy/requests', status: 200, note: SPA shell} - {url: 'https://getvda.ai/accessibility', status: 200, note: SPA shell} - {url: 'https://getvda.ai/accessibility/vpat', status: 200, note: SPA shell} - {url: 'https://getvda.ai/transparency', status: 200, note: SPA shell} - {url: 'https://getvda.ai/security/sbom', status: 200, note: SPA shell} - {url: 'https://getvda.ai/docs/data-residency', status: 200, note: SPA shell} - {url: 'https://getvda.ai/ai/transparency', status: 200, note: SPA shell} - {url: 'https://getvda.ai/legal/report-content', status: 200, note: SPA shell} - {url: 'https://witness.getvda.ai/privacy', status: 200, note: Witness SPA shell (10,147 bytes), same for /terms /legal /security /accessibility /legal/subprocessors /legal/dpa /transparency /security/sbom /ai/transparency} - {url: 'https://getvda.ai/.well-known/security.txt', status: 404} note: >- Every conventional legal / regulatory path on the apex and Witness hosts returns the single-page-app shell — there is no privacy policy, terms of service, DPA, subprocessor list, VPAT, SBOM or transparency report anywhere on the surface, and the homepage links none. The only signals that carry SUBSTANCE are embedded in the served agent cards and llms.txt documents: an in-band data-residency and LLM-data-handling statement in the C2MD card metadata, an AI-transparency statement about what the generated artefacts are and are not, and the field-level honest-status labelling. Everything else is absent, and absence is the measurement. The company's PRODUCT is regulatory evidence (EU AI Act Article 12 reports, GDPR Article 35 DPIA scaffolds) — that is what it sells, not a statement about its own posture, and it is not recorded as one. signals: data_residency: url: https://c2md.getvda.ai/.well-known/agent-card.json section: metadata.vda-md:dataResidency / vda-md:llmDataHandling regions: [EU-west (europe-west1)] evidence: - source: https://c2md.getvda.ai/.well-known/agent-card.json http_status: 200 fetched: '2026-09-19' quote: >- "vda-md:dataResidency": ["EU-west"] ... "vda-md:llmDataHandling": "Vertex AI Gemini in europe-west1. Google does not use inputs to train foundation models (Vertex default). Zero-data-retention is NOT currently configured: inputs/outputs may be cached up to 24h in-region and prompts may be logged for abuse monitoring under standard Vertex AI terms." - source: https://acp.getvda.ai/readyz http_status: 200 fetched: '2026-09-19' quote: '{"status":"ready","region":"europe-west1", ...}' note: >- A published, specific residency statement (region, sub-processor model, retention caveat) carried inside the machine-readable card rather than on a legal page. Scoped to C2MD; no suite-wide residency page exists. ai_transparency: url: https://getvda.ai/llms.txt section: Honesty evidence: - source: https://getvda.ai/llms.txt http_status: 200 fetched: '2026-09-19' quote: >- "Generated compliance artefacts follow a lifecycle: DEMO DATA (showcase runs) -> DRAFT (a real Compliance Officer is attached) -> ATTESTED (post sign-off). They are audit-preparation drafts, not a finished regulatory filing until attested. VDA produces the evidence and controls that support compliance; it does not itself deliver legal compliance." - source: https://c2md.getvda.ai/.well-known/agent-card.json http_status: 200 fetched: '2026-09-19' quote: >- "vda-md:humanApprovalGate": "All generated bundles require compliance-officer sign-off before deployment. C2MD never claims to deliver legal compliance"; "vda-md:piiPreProcessing": "Microsoft Presidio, applied selectively ..." note: >- A published statement of what the AI-generated outputs are (drafts), which model produces them (Vertex AI Gemini), how PII is pre-processed, and the human gate before use — the substance of an AI-transparency disclosure, carried in llms.txt and the card rather than on an /ai/transparency page (which is the SPA shell).