Resources

NOFire is recognised in the 2026 Gartner Market Guide for AI SRE Tooling. How analysts are mapping the emerging category of Context & Control Models for production AI.

Sandboxing for Agentic Execution.

A falsifiable definition of a sandbox for agentic execution: seven testable properties, an honest threat model, and where today's isolation technologies actually land.

System of Record for Your Production Story.

Why every service catalog goes stale by week two, why that just became an emergency now that agents act on it, and the architecture that stays true: observed, not declared.

The Platform Leader’s Case for a Self-Maintaining Catalog.

The maintenance-tax model, the agent-readiness risk, the migration path off Backstage, and a decision framework for engineering leaders.

The AI SRE Benchmark.

Methodology, dataset, results. How we evaluated NOFire against 12 academic baselines on 735 fault-injection scenarios (RCAEval).

The AI SRE Adoption Guide.

What it takes to put AI agents into production without losing control of them, for the engineering leader carrying that call.

AI SRE Buyers Guide.

From demo to decision. Two gate questions to ask before any demo, six properties each with a test, and a vendor-neutral worksheet with eight must-pass rows.

AI SRE ROI Worksheet.

Your hours, your hires, your downtime numbers, filled in. What incidents cost you now, weighed against reclaiming that time or buying it back.

Build vs Buy.

An honest framework for the Context & Control Model decision: strategic cost, expertise gaps, opportunity cost, and the hybrid path that usually wins.

Runtime Policy Patterns.

The dozen policy primitives every team building with AI agents needs: blast radius, schema drift, network boundary, sandbox grants, signed audit.