AI agents with system access self-govern — they propose actions, approve them, and execute them as one process. When compromised, every layer of protection falls at once, because they're all the same layer. Nonaxis separates them with deterministic enforcement end to end.
Three isolated instances with different capabilities constrain each other. The entire governance pipeline is deterministic — no LLM in the decision path. Unknown situations escalate to humans, never to another model.
Full tool access, sandboxed. Proposes actions to the governance bus. Cannot self-approve.
Read-only access, isolated process. Static analysis, pattern matching, and risk scoring on every proposal.
No LLM. Deterministic rules. Issues cryptographic execution tokens. Unknowns escalate to humans.
Four verbs. Schema-validated JSON. Works at any deployment layer — kernel, container, or application.
The specification is published and the reference implementation is tested. We're looking for design partners deploying AI agents in regulated or high-consequence environments.