Production breaks and the channel fills with "did anyone deploy?"
NOFire finds the change behind every production incident: cause, blast radius and owner, each conclusion linked to the exact deploy, log line or trace it came from. It keeps a signed record of every action AI agents take in production, captured outside the agent. The map of services, owners and dependencies builds itself from the running environment. Built by the creators of urunc, a CNCF Sandbox project.
Every claim is a link. Click any conclusion and see the exact deploy, log line or trace it came from, in your own tools.
The map builds itself, dated and sourced. Every service, owner and dependency, derived from what actually runs rather than what a YAML file declares. Time-versioned, so you can ask what was true at 03:14. Ownership derived automatically, overridable, and flagged when it goes stale.
Agents get the same record as humans. A signed log of every command, file and call, landing in your own SIEM. A log the agent wrote is not evidence.
We show you where you are blind. "No signal here yet" is an answer, not a gap we hide. Coverage sits next to every finding, and absence from the record is never presented as absence of action.
For what breaks. Incidents close where they land: cause, blast radius, owner, each conclusion linked to its source. Always-on checks watch for deploy risk, drift and lag between incidents, without sitting in your deploy path. Every incident makes the next one faster.
For what your AI does. Agent activity in your security team's own pipeline: detections in their dashboard, correlation rules that fire, one click from detection to signed evidence. For teams shipping agent features where someone else's code runs, each skill executes in its own hardware-isolated microVM with no standing credentials, egress allowlisted, nothing surviving teardown, and a signed record of what it actually ran.
Receipts. 89% on our own published benchmark, methodology and failures included, rerunnable by anyone. The isolation boundary is open source: urunc, a CNCF Sandbox project, on Linux and macOS.
Connects to what you already run. Observability: Grafana, Prometheus, Datadog, Coralogix, Loki, Tempo, Elasticsearch, OpenSearch, Honeycomb, New Relic, Splunk, Sentry. Incident management: PagerDuty, Grafana IRM. Code and CI/CD: GitHub Actions, GitLab. Infrastructure: Kubernetes, AWS, CloudWatch, Google Cloud. Databases: MongoDB Atlas, PostgreSQL. Code agents: Cursor, Claude Code. Collaboration: Slack, Microsoft Teams. Project tracking: Linear, Confluence, Atlassian. Plus CLI, MCP and custom HTTP. Read-only, scoped, no write tokens. Nothing to re-instrument.
Security and deployment. GDPR and UK GDPR with a standard DPA, SCCs, a published sub-processor list, and EU or UK data residency. SAML SSO with Okta, Google, Azure AD, Auth0, OneLogin and Ping, SCIM provisioning, and roles mapped from your IdP groups. TLS 1.3 in transit, AES-256 at rest, customer-managed keys on Enterprise. Immutable, tamper-evident audit logs streamed to your SIEM as signed receipts. PII redacted before anything reaches a model, and your data is never used to train cross-customer systems. Run it as SaaS in a US or EU region, or inside your own VPC via Terraform or Helm, where your data never leaves your network. Available on AWS Marketplace, with private offers that burn down committed AWS spend.
How you buy it. One predictable price for your whole production environment: not per seat, not per incident. You never buy storage, and your telemetry stays where it lives.
Who it is for. Teams where engineers own production directly, typically 200 to 2,000 employees, and enterprise divisions that behave the same way. Highest urgency in ecommerce and iGaming, banks and fintech, and edtech.
One record that compounds: the map gives every incident its blast radius and owner, every incident feeds the memory, and agent actions land on the same map, so machines get the same accounting as humans.
Who Is the Company Behind NOFireAI?
