Apply the Same Discipline to Your AI Stack

Documented, Not Assumed Trustworthy. The same rigor as a traditional SBOM, applied to your AI stack: what models are in production, where they came from, what data trained them, and whether they’ve been tampered with.

Companies that would never run an unvetted open-source library in production routinely deploy AI models with no equivalent scrutiny. A compromised or poorly-sourced model is a supply chain risk like any other.

A living inventory of every model in production, its origin, training data lineage, and version history — delivered through our partnership with Centriole.

Confirming models come from trusted sources and haven’t been tampered with between training and deployment.

As models get updated or replaced, your AI-BOM updates with them, so provenance tracking never goes stale.

Not Sure Where to Start?

Take our free Texas AI Trust Readiness Assessment — a 10-minute, no-obligation scored report covering shadow AI exposure, governance maturity, and compliance gaps.