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# In the Age of AI, Operating a Business Requires Ongoing Recovery Efforts

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#### Is TIME a reliable news source?

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![](https://static.time.com/v3/assets/bltea6093859af6183b/blt4a0a0c2fc557d6ea/6aedf1523c8cbe247befaf19/TIME_Graphic.jpg?branch=production&width=1200&quality=75&auto=webp&crop=3:2)

By Sanjay Mirchandani, President & CEO, Commvault

“When you invent the ship,” the philosopher Paul Virilio once observed, “you also invent the shipwreck.” He went on to say, “Every technology carries its own negativity, which is invented at the same time as technical progress.” AI is no exception.

Of course, as we see nearly every day, the shipwrecks are already here. They’re coming from both directions: the agents of your attackers and increasingly, your own.

For instance, in April, an AI coding agent on a routine task decided on its own, to delete a storage volume that held a small software company’s live database and its backups. The deletion took nine seconds. The most recent copy the company could reach was three months old, and the business spent about 30 hours in chaos before its cloud provider pulled the data from a disaster backup of its own.[\[1\]](#%5Fftn1)

Then, in September, the threat intelligence firm GreyNoise reported that an attacker had used hundreds of AI agents to break into 11 organizations in 26 seconds, and at least 395 organizations in all. At one U.S. high school, the attacker went from a foothold to the keys to the entire network in seven minutes.[\[2\]](#%5Fftn2)

Together, those incidents paint the shape of a new kind of risk. I call it “AI vulnerability”: the exposure a business takes on once AI can act on its systems, whether that AI works for a malicious attacker or for the business itself. From outside, the attacks now operate at a scale no human team could match. From inside, agents change settings, grant access, and move data with no one watching.

In fact, an agent doesn’t need bad intent to do serious damage. In some instances, it only needs to be wrong once. That’s the level of risk that comes from the speed, scale, and autonomy of most AI deployments. Even the attacker in the GreyNoise case couldn’t keep its own agents on task. It told them to stay away from targets in 28 countries, and in some cases, they went after those targets anyway. If a criminal can’t keep its own agents on task, no company should assume its agents will stay on task either. 

Today, every business runs on AI, and so every business carries AI vulnerability. That leads to a truth leaders need to absorb quickly: in the AI era, you can’t run your business without recovery.

For decades, the enterprise has treated recovery as insurance: a service you pay for, test once a year, and hope never to use. The strategy was prevention, with recovery as the measure of last resort. That made sense when the attacks (and the world) moved at human speed. Neither does anymore. I learned as a CIO who lived through a breach that the hardest hours come after the event, when you are frantically working out what changed and what you can still trust. AI compresses those hours into minutes or less.

This is the new reality we’re all facing, and it’s forcing a reassessment of what it means to be secure in the AI era. Security can no longer mean prevention alone. Tighter permissions, approval steps, and better guardrails all reduce the odds of a disaster, but no defense stops everything, and no playbook anticipates every mistake an agent might make. What decides the outcome is how fast and how cleanly you can bring the business back. Resilience is the state every board wants, and recovery is the only way to get there.

So, just as AI is forcing a redefinition of resilience, it’s also setting three new criteria for recovery.

**First, recovery starts before the incident.** It's preemptive. Not relegated to a reaction after an event. It starts with knowing what you have: every workload, every identity, every agent, what’s protected and what isn’t. You can’t recover what you don’t know you have. It means watching for a change you didn’t authorize. And it means keeping clean, trusted copies isolated from the systems they protect. In the case of the software company, the backups sat beside the live data, so one agent error took down both. 

**Second, it never stops.** The estate changes every day and so does the risk to it. New data and scores of non-human identities that have access to that data are coming online all the time. Recovery must be continuous – an always-on state of constant vigilance and action. 

**Third, recovery has to reach beyond data.** When it comes to restoring the business, you can’t just restore the data. Applications, cloud environments, identities, and AI agents have to come back together, in the right sequence at the right time, to get the whole business back, clean, trusted, and ready to run. For boards and executive teams, this comes down to a few direct questions. Do we know everything our business runs on, including which agents can act on it? Would we know within minutes if an attacker, or one of our own agents, changed something that matters? Can we bring back our applications, identities, and agents, not just our data, in a state we can trust?

Everyone is telling business leaders what AI will do for the business. Far fewer are asking what happens when AI breaks the business. **The companies that plan for the downside as seriously as the upside will run AI with confidence instead of caution.** AI is going to impact your company whether you are ready or not. The question is whether you can recover when it does.

[_\[1\]_](#%5Fftnref1) _ABC News, “‘Rogue’ AI agent from Cursor goes haywire, deletes company’s entire database,” April 30, 2026\._ <https://abc7ny.com/post/rogue-ai-agent-cursor-goes-haywire-deletes-tech-companys-database/19008099/>

[_\[2\]_](#%5Fftnref2) _GreyNoise, “Agents Gone Wild: An AI-Orchestrated Global Campaign Against PaperCut NG/MF,” September 9, 2026\._ <https://www.greynoise.io/blog/ai-orchestrated-campaign-against-papercut-ng-mf>

  
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[LEARN MORE](https://www.commvault.com/)

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