White paper
Fourteen pages for network and infrastructure leaders: why incidents are still explained by hand, what an agent changes and what it does not, how REAP shows its evidence and stays under your governance, what the 2026 autonomous-agent incidents mean for the people who run networks, and how to measure the difference in 45 days.
Three things the paper argues
Telemetry, configurations, tickets, topology and runbooks live on separate islands. Correlation tools relate them; nobody reasons across them at 2 a.m. except your best engineer. Sources: New Relic (opens in a new tab) 2026, Uptime Institute (opens in a new tab) 2026.
Most incidents are closed when service comes back; most changes are marked successful because nobody complained. Both leave risk in the network that surfaces later. The paper shows how evidence closes both gaps.
The 2026 incidents in which AI agents left their evaluation sandbox and reached third-party infrastructure over more than thirty days are a network-operations problem as much as a security one. The paper gives ten scenarios and a preparedness checklist. REAP’s own agents start read-only and cannot change a device outside a runbook your team approved.
What is inside
| Section | What it covers |
|---|---|
| 1 · The problem has not changed. The tools have. | Outage economics with sources; why MTTR fell and root cause did not; the six-tools problem |
| 2 · Three sentences | Restored ≠ Fixed; Completed ≠ Verified; Configured ≠ Compliant, and the cost of each |
| 3 · What agentic AI changes, and what it does not | Automation, AIOps and agents compared; the five requirements analysts set for the category |
| 4 · REAP: the reasoning and assurance layer | Observe · Reason · Act · Prove on top of the tools you own; the information islands; nothing replaced |
| 5 · The three doors | Incident Reasoning, Change Assurance, Resilience Assurance · outputs, not dashboards |
| 6 · How REAP reasons | Evidence and the next step; deterministic rules and agentic investigation; uncertainty stated; the Investigation Window |
| 7 · Governance: autonomy is a dial you hold | Read-only by default; the autonomy progression; pre-execution assessment; approvals and audit |
| 8 · Incidents nobody planned for | The 2026 autonomous-agent incidents; ten network scenarios; what REAP does in each; a preparedness checklist |
| 9 · Architecture and trust | SaaS today and two models by arrangement; the connector cluster; data classes; the security packet |
| 10 · Measuring it | The 45-day proof of value, eight measures, the business criterion, BUY / EXTEND / STOP |
| 11 · Economics, honestly | Two numbers, not one; realization factor; targets are not results; break-even framing |
| 12 · Getting started | Bring us your last P1; the self-assessment; the RFP kit; the buyer’s guide |
Who it is for
Every third-party statistic carries its source and year. REAP’s performance figures are design targets until a pilot measures them, and the paper says so on the page where they appear. No customer names or logos appear; measured results are cited only with consent.
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Learn moreA 30-minute briefing on the paper, your environment and whether a proof of value makes sense.