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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

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...