runtime / posture
soc‑2‑type‑IIaudited · 2026
gdprDPA on file
iso‑27001in progress
deploy · in‑vpcaws · gcp · azure
identity · oktasaml + scim
data · redactedpre‑model
model · bedrockcustomer‑owned
audit · signed0x9f…ab
Give production AI operational clarity
The Context & Control Model for Production. Built for the platform and SRE teams who own it.
Trusted by
What it does
Context
Catch the change that would have caused the incident before it deploys.
Dependencies sit in the model. Changes get scored against it before they ship, so by the time something would have broken, your team already has the blast radius and the fix.
Memory
The next incident starts with everything your team has already solved.
Investigations feed back into the model instead of getting discarded. The fix that worked last time is already in the system the next time something similar hits.
Control
Runtime policy checks every agent action before it executes, and blocks anything that would violate it.
Engineers stop being in every loop. They set policy once; the system handles enforcement at runtime.
Security & Privacy
NOFire runs where your production runs, SaaS or fully inside your VPC. Read‑only by default, scoped to your IdP, and audited on every action. The model is also the control plane.
- SOC 2 Type II · GDPR · ISO 27001 in progress
- SaaS or in‑VPC deployment, same product
- SAML SSO, SCIM, RBAC bound to your IdP
- PII redaction before any model call
- Bring your own model: Bedrock, Azure OpenAI, Vertex
- Every agent action signed and replayable
We built the first context and control model for production, so ownership stays where it belongs, with engineers.
Nine years building and operating Observability at global scale convinced me: AI agents need a proper model of production and a runtime that gates every action against it. We built both, as one system.
Get production ownership back.
A 30-minute call with a founder. We map your stack to the Context & Control Model, live.