Read Complete Article | https://www.aakashrahsi.online/post/rahsi-continuous-patch-model
Most orgs still treat patching like a noisy event.
Downtime, late-night change windows, emergency CABs, “we’ll catch the next cycle.”
In a CVE-era tenant, that’s not strategy — that’s gambling.
Rahsi Continuous Patch Model™ | Making Downtime and Exposure Windows Disappear is my blueprint for turning Windows Server, Azure, and endpoint patching into quiet background behaviour using Hotpatch, Windows Autopatch, Intune update rings, Entra, and Copilot as a reasoning layer — not just another tool list.
I’m not chasing zero-day drama.
I’m chasing zero-noise patching, where:
- Exposure windows shrink to measured minutes and hours, not vague “this month”.
- Hotpatch + Autopatch + Intune update rings move in orchestrated waves, not one-off pushes.
- Copilot helps ops teams reason over failures, blast radius, and exceptions in real tenant data.
- CABs stop arguing about “should we patch?” and start reviewing evidence of how safely we already are.
This is not a feature tour.
It’s a Microsoft-aligned operating model for anyone who wants their patching story to stand up in front of a board, an auditor, or an MSRC-style post-incident review — without burning humans out.
If you’re running Microsoft Intune, Defender, Azure, Windows Server, or Cloud PC, this model is my promise:
Patching can be fast, quiet, CVE-aware, and governance-ready at the same time.
I’ll be breaking this down into:
- Exposure Window Map — how to measure “time-to-covered” per CVE across servers, endpoints, and Cloud PC.
- Hotpatch + Autopatch + Rings Orchestration — designing waves that don’t wreck user experience.
- Copilot-as-Reasoning-Layer — prompts and patterns for analysing patch failures, exceptions, and blast radius.
- Proof-Packs for Leadership — how to show patching health to boards, regulators, and security leaders without screenshots and panic.
If you want to move from “patch Tuesday drama” to continuous, evidence-backed calm, this is the operating model I’m betting my name on.
— Aakash Rahsi
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