Defense & National Security
Verified AI supply chains for defense and sovereign deployments.
Approved models must stay the approved models, from sovereign and public-sector deployments to the disconnected edge, with no adversary-origin lineage. Model cards alone are not evidence.
What VAIL verifies
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Model provenance
Verify where a model came from, including fine-tunes and distillations, before you adopt it.
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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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Governance and compliance
Keep a timestamped record of which model ran, when, and where it came from.
Built for
- Stakeholders
- Defense and intelligence leaders, national cloud operators, procurement officers, and AI governance boards.
- Deployment
- No SDK, no code changes, and no access to customer traffic. Managed, in your cloud, or air-gapped.
Research
All publications-
Cisco and VAIL · 2026
Models don't have passports: AI lineage crosses organizational and geographic borders
Weight analysis and behavioral fingerprints, applied independently, each recover the documented Qwen lineage inside NVIDIA Nemotron models. The method for screening adversary-origin lineage.
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ICDS 2025
Hardware-Rooted Trust Anchors for Sovereign AI Processing
Verifies a model's identity, location, and confidentiality on untrusted infrastructure, for sovereign processing.
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ACM CAIS 2026 · Demo
Behavioral Fingerprints for LLM Endpoint Stability and Identity
The monitor that confirms a deployed model has not changed, detecting swaps of family, version, inference stack, and quantization.
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VAIL White Paper · 2025
Security Assurances for AI in High-Stakes Environments using Verifiable Computation
Why mission systems need cryptographic evidence of which model ran, how it was trained, and what produced each inference.
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