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Rubrik: Why Isolated Recovery Environments Matter in Cyber Events

Rubrik
07/07/2026
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and attacked in so many different ways. It's always hard when someone says, how long would it take for us to recover in a cyber event? I don't know. It's going to take us a day or two to figure out what was even impacted. Like we'll have the initial things that we know for sure that are down, but what else is there, what other things are impacted, so it's not what we typically thought of in a DR type event. It's just that fog of war understanding. And then once you figure out what's down, now you've got to figure out how to bring it back. And so having the ARE environment, I mean, you could sit there and run Monte Carlos because of the automation. You can sit there and look at various scenarios and say, Hey, what if we were hit this way? What if we hit this way? Like, okay, let's bring that back up. And you can go through and say, okay, what fails? What are the dependencies? Okay. If we're hit this way, then, Hey, we've got to be thinking about this. So I think there's a lot of opportunity and it gives you a lot more flexibility to think about how you would respond by having that isolated recovery environment stood up and ready to go.

TL;DR

  • Cyber incidents differ fundamentally from traditional DR events because the scope of damage is unknown for days, making immediate recovery planning nearly impossible.
  • Stanford Health Care's Christian Lindmark highlights that identifying what was impacted is itself a multi-day task before any recovery work can begin.
  • Isolated recovery environments (ARE) enable teams to simulate multiple attack scenarios in advance, uncovering dependencies and failure points before a real incident strikes.

Summary

In this short clip from a longer Rubrik podcast episode, Christian Lindmark of Stanford Health Care articulates one of the most underappreciated challenges in cyber incident response: the fog of war that prevents teams from even knowing what was impacted until days after an attack. Unlike traditional disaster recovery scenarios where the scope of damage is immediately visible, a cyberattack can silently compromise systems in ways that take significant time to map. Lindmark explains that the first day or two following an incident are often consumed simply by understanding the blast radius — identifying what is definitively down and what else may be affected. This uncertainty makes pre-defined RTO commitments nearly impossible to honor. His solution is the Automated Recovery Environment (ARE), which enables teams to run Monte Carlo-style simulations across various attack scenarios before an incident occurs. By modeling different attack vectors and testing recovery sequences in an isolated environment, organizations can identify system dependencies, anticipate failure points, and build response playbooks that hold up under real-world pressure. The key insight is that preparation in an isolated environment transforms reactive chaos into structured, rehearsed response.

Chapters

0:00 - The Cyber Recovery Challenge
0:19 - Fog of War Explained
0:24 - Simulating Attack Scenarios with ARE
0:39 - Value of Isolated Recovery Readiness

Key Quotes

0:07 "It's going to take us a day or two to figure out what was even impacted."
0:19 "It's just that fog of war understanding."
0:24 "Having the ARE environment, I mean, you could sit there and run Monte Carlos because of the automation."
0:43 "It gives you a lot more flexibility to think about how you would respond by having that isolated recovery environment stood up and ready to go."

FAQ

What makes cyber incident recovery different from traditional disaster recovery?

Unlike physical disasters where the damage is immediately visible, a cyberattack can impact systems in ways that take one to two days just to identify. Teams must first map the blast radius before they can begin any recovery work, making standard RTO estimates unreliable.

What is an Automated Recovery Environment (ARE) and why does it help?

An ARE is an isolated environment where teams can simulate various attack scenarios and test recovery sequences before an actual incident. It allows organizations to identify system dependencies and failure points in advance, enabling faster and more structured response when a real attack occurs.


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