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Protecting Your Business-Critical Data in the Data-Driven Economy

Scotty Calkins
Datadobi

To borrow a phrase from the British mathematician and entrepreneur, Clive Humby, "data is the new oil." It's what our economy runs on. Organizations use data to fuel their operations, make smart business decisions, improve customer relationships, and much more. Because so much value can be extracted from data its influence is generally positive, but it can also be detrimental to a business experiencing a serious disruption such as a cyberattack, insider threat, or storage platform-specific hack or bug.

If your organization was a victim of one of these scenarios and suddenly lacked access to data repositories, would operations screech to a halt?

Your data is basically a carbon copy of your company and if you don't have access to your business-critical data, you can't do business. If you are unfortunate enough to be attacked, you need a plan in place to restore your data quickly and to any target if you don't want to suffer costly downtime. During major disruptions, certain copies of your data may be unavailable for quite some time. But you can get your business-critical apps up and running quickly and keep an uninterrupted flow of business if you add an extra layer of protection for business-critical data — what's called a "golden copy."


Identifying Business-Critical Data

Organizations with petabytes of data may initially find it daunting to identify the datasets that are critical to keeping the business. Business-critical data will look different for every organization; generally, it's any data absolutely needed to continue running your business.

A widely used fitness tracker and watchmaker experienced a massive outage late last year, leaving users disconnected from their applications for days after suffering a ransomware attack. No one was able to access their user history from the application, leaving the organization unable to continue operations. The application data would be considered business-critical data in this scenario; it's exactly the type of data that needs to be protected and accessible.

Air Gapping and Traditional Disaster Recovery

Once an organization identifies its business-critical data, it can add an additional air-gap solution for an extra layer to their traditional business continuity plan. An air-gap solution — storing your data in a bunker site (whether on-premises or in the cloud) that is isolated from your network — provides an extra layer of security against both insider and external threats.

An air-gap solution puts a barrier between the golden copy of business-critical data and employees who may unintentionally (or in rare cases intentionally) do harm to it. Instead, control is shifted to a limited set of cyber-protection administrators, often under the auspices of the legal department or risk management department. In order to open the bunker site, it will require a specific set of protocols to be in place. Organizations can set the number of steps in the pipeline. The harder data is to access, the harder it is to attack it, and the more protected it is. Moving control of the golden copy to very strict procedures prevents any malicious insiders from attacking data.

An air-gap solution not only safely isolates a golden copy of your most important data, it also gives you an all-important copy of your company as well. The air gap gives organizations the security of knowing they are protected from attackers whether from within or outside of the company. It gives organizations the ability and flexibility to get back up and running as fast as possible.

In a data-driven economy, attacks on data have the ability to cripple business. Adding a golden copy of business-critical data gives organizations peace of mind, and the ability to stay afloat in the midst of a crisis.

Scotty Calkins is Senior Systems Engineer at Datadobi

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Protecting Your Business-Critical Data in the Data-Driven Economy

Scotty Calkins
Datadobi

To borrow a phrase from the British mathematician and entrepreneur, Clive Humby, "data is the new oil." It's what our economy runs on. Organizations use data to fuel their operations, make smart business decisions, improve customer relationships, and much more. Because so much value can be extracted from data its influence is generally positive, but it can also be detrimental to a business experiencing a serious disruption such as a cyberattack, insider threat, or storage platform-specific hack or bug.

If your organization was a victim of one of these scenarios and suddenly lacked access to data repositories, would operations screech to a halt?

Your data is basically a carbon copy of your company and if you don't have access to your business-critical data, you can't do business. If you are unfortunate enough to be attacked, you need a plan in place to restore your data quickly and to any target if you don't want to suffer costly downtime. During major disruptions, certain copies of your data may be unavailable for quite some time. But you can get your business-critical apps up and running quickly and keep an uninterrupted flow of business if you add an extra layer of protection for business-critical data — what's called a "golden copy."


Identifying Business-Critical Data

Organizations with petabytes of data may initially find it daunting to identify the datasets that are critical to keeping the business. Business-critical data will look different for every organization; generally, it's any data absolutely needed to continue running your business.

A widely used fitness tracker and watchmaker experienced a massive outage late last year, leaving users disconnected from their applications for days after suffering a ransomware attack. No one was able to access their user history from the application, leaving the organization unable to continue operations. The application data would be considered business-critical data in this scenario; it's exactly the type of data that needs to be protected and accessible.

Air Gapping and Traditional Disaster Recovery

Once an organization identifies its business-critical data, it can add an additional air-gap solution for an extra layer to their traditional business continuity plan. An air-gap solution — storing your data in a bunker site (whether on-premises or in the cloud) that is isolated from your network — provides an extra layer of security against both insider and external threats.

An air-gap solution puts a barrier between the golden copy of business-critical data and employees who may unintentionally (or in rare cases intentionally) do harm to it. Instead, control is shifted to a limited set of cyber-protection administrators, often under the auspices of the legal department or risk management department. In order to open the bunker site, it will require a specific set of protocols to be in place. Organizations can set the number of steps in the pipeline. The harder data is to access, the harder it is to attack it, and the more protected it is. Moving control of the golden copy to very strict procedures prevents any malicious insiders from attacking data.

An air-gap solution not only safely isolates a golden copy of your most important data, it also gives you an all-important copy of your company as well. The air gap gives organizations the security of knowing they are protected from attackers whether from within or outside of the company. It gives organizations the ability and flexibility to get back up and running as fast as possible.

In a data-driven economy, attacks on data have the ability to cripple business. Adding a golden copy of business-critical data gives organizations peace of mind, and the ability to stay afloat in the midst of a crisis.

Scotty Calkins is Senior Systems Engineer at Datadobi

Hot Topics

The Latest

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...