On the latest All-In Podcast, Chamath Palihapitiya argued that enterprises cannot rely solely on AI vendors' promises—even with zero-data-retention policies. Hidden data exposure risks exist, and "you need an independent third-party layer to interface to these models."
That's the bigger issue.
As AI systems begin making decisions in regulated industries, trust can't come from the model itself. It requires independent verification.
That's why Inveniam built a trusted data infrastructure that provides provenance, permissions, auditability, and cryptographic proof—so institutions and AI systems can operate on independently verifiable data.
