Tetra Security raises $55M to build verifiable model governance for AI deployments

Tech · 5 min read

Tetra’s product issues verifiable attestations for model training datasets, hyperparameters, and deployment artifacts, enabling auditors to trace decisions and model provenance. The platform also supports runtime policy enforcement to prevent models from leaking sensitive outputs.

Backed by Sovereign Fund Partners, the $55 million round will scale integrations with cloud providers and add certification pathways for regulated industries. Tetra positions itself as essential infrastructure for organizations needing auditability and tamper-evident records of AI behavior.

Early adoption is coming from insurance and healthcare firms, which require detailed documentation around model training and decisioning. Tetra will also introduce a lightweight agent for edge deployments to ensure local enforcement of model-level policies.