So we build the trust layer. A pre-ingestion gate that keeps poisoned and untrustworthy data out of what models ingest, protecting the AI as much as the people it serves. Smart redaction that keeps secrets out of prompts. Output controls that catch insecure responses before they land. And a tamper-evident record of decisions, endpoint to cloud.
Trust in AI should not be asked for. It should be built, enforced, and provable.
Nothing unvetted should reach a model.
We hold a position on this, not just a product. What goes into an AI, as context today or training data tomorrow, should be evaluated before ingestion: for hidden instructions, for hostile payloads, for provenance that does not hold up. Our Pre-ingestion Trust Gate does exactly that on live traffic, and we advocate for it as an industry norm, because every downstream safety measure inherits the quality of what the model was fed.
Our dataset coverage is honest about its scope: an AI Bill of Materials that inventories model and dataset artifacts, plus static inspection for code smuggled inside data files. Not statistical poisoning analysis of training sets. The capability register says so, in public.
Humans stay in control
Every AI interaction can be seen, audited, and governed in real time. Enforcement is graded rather than binary, a person can approve or deny an action at the moment it happens, and the rule that decided is one a human can change.
We look out for the AI, too
The Pre-ingestion Trust Gate filters harmful, poisonous, untrustworthy content before it ever becomes model context. An AI fed lies repeats them to every human it serves, so protecting what AI ingests is protecting the people downstream of it.
Proof over promises
A public register labels all 64 capabilities honestly. A hash-chained ledger makes decisions checkable. And the 15-minute local proof-of-concept means your reviewers verify behavior directly, with no trust required in advance.
The mission is expansive on purpose. The claims underneath it are not: 17 framework policy packs across 18 registered frameworks and 290 controls, every capability labeled on the public register, and the whole loop provable on your own laptop.