NOFireAI Reviews & Product Details

NOFire finds the change that broke production, and shows you the proof. It is built on a live, self-building map of everything running in production and every change in it, so anyone on your team can find what broke, not just the one person who knows the system. The same map shows what your AI agents changed, too. For platform and SRE teams: find the change that broke it. When an incident lands, NOFire shows the change behind it, its blast radius and its owner, with every conclusion linked to the exact deploy, log line or trace it came from, in your own tools. No more "did anyone deploy?" in the incident channel. Every incident feeds the map, so the next one starts with more context. For security teams and teams putting AI agents into production: prove exactly what your agents did. NOFire keeps an independent, signed record of every command, file and call an agent makes, captured outside the agent and delivered into your own SIEM. A log the agent wrote is not evidence. For agent features that run someone else's code, brig, our open-source isolation release, runs each skill in its own hardware-isolated microVM with no standing credentials, allowlisted egress, nothing surviving teardown, and a signed record of what it actually ran. What makes it different - Every claim is a link. Click any conclusion and see the exact deploy, log line or trace it came from. - The map builds itself, dated and sourced. Every service, owner and dependency comes from what actually runs, not from what a YAML file declares. It is time-versioned, so you can ask what was true at 03:14. Ownership is derived automatically, can be overridden, and is flagged when it goes stale. - Agents get the same record as humans. - We show you where you are blind. Coverage sits next to every finding. "No signal here yet" is an answer, not a gap we hide. Proof you can check: 89% root-cause accuracy on our own published benchmark, with the methodology and the failures included, rerunnable by anyone. The isolation layer is urunc, a CNCF Sandbox project created by the NOFire team. 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 and scoped, with no change to your application code. Security and deployment. SOC 2 Type II. 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. PII is redacted before anything reaches a model. Enterprise never trains on your data by default, and Team can add a zero-training option. 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. AvHow you buy it. Starter is $0, free forever: connect read-only, see your map in your first session, 500 credits a month, no credit card. Team is $2,000 a month, billed annually and sized to your production, with 10,000 credits a month, all integrations and SSO. Enterprise is a custom annual commit with BYOC, BYOK and dedicated FDE capacity, also through AWS Marketplace. Every plan has unlimited seats for humans and agents.ing at nofire.ai/get-pricing. Who it is for. Teams where engineers own production directly, typically 200 to 2,000 employees, and enterprise divisions that work the same way. Highest urgency in ecommerce and iGaming, banks and fintech, and edtech.