Healthcare & Life Sciences
Validated clinical AI that stays validated.
Clinical and patient-facing AI must behave as intended and within policy after validation, with a record of when the model or agent changed.
What VAIL verifies
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Supply chain integrity
Verify that the model running is the one you approved, and catch swaps, tampering, and unauthorized updates.
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Continuous behavioral monitoring
Probe live agents on a schedule to confirm they behave as intended and stay within policy.
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Governance and compliance
Keep a timestamped record of which model ran, when, and where it came from.
Built for
- Stakeholders
- CMIOs, clinical AI validation leads, and compliance and risk officers.
- Deployment
- No SDK, no trace access, and no customer data read. Managed, in your cloud, or air-gapped.
Research
All publications-
ACM CAIS 2026 · Demo
Behavioral Fingerprints for LLM Endpoint Stability and Identity
Confirms that the model behind a clinical or operational workflow is the one that was validated.
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Cisco and VAIL · 2026
Models don't have passports: AI lineage crosses organizational and geographic borders
Establishes where a model came from, including fine-tunes of known bases, before adoption.
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VAIL White Paper · 2025
Security Assurances for AI in High-Stakes Environments using Verifiable Computation
Why clinical AI needs cryptographic evidence of which model ran and that it was the one cleared for use.
Go further
Request an assessment.
Tell us which model or agent you need verified. We reply within one business day with a scope and a start date.
Or write to contact@projectvail.com