You Can't Trust What You Can't Verify — The Case for AI Model Identity
About this episode
The episode discusses the challenges organizations face in verifying which AI model is running in their environment and introduces Project VAIL as a solution to these issues.
Most organizations deploying AI today cannot answer a deceptively simple question. Which model is actually running in their environment? It is not a hypothetical concern. Model substitution, supply chain compromise, adversarial fine-tuning, and jurisdictional compliance gaps are all live risk vectors — and the industry has largely been relying on contractual guarantees from AI vendors rather than technical controls to address them. That gap is exactly what Project VAIL was built to close. In ...
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