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Data Protection Plan: Guide & 8 Steps for Creation

by Makenzie Buenning, IT Editorial Expert
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Instant Summary

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Key Points

  • Data Protection Plan Defined: This outlines strategies to safeguard sensitive data from cyber threats, data breaches, or accidental loss while ensuring recoverability.
  • Why Data Protection Plans Matter: Implementing a data protection plan helps meet compliance requirements and ensures business continuity.
  • Sensitive Data to Protect: This includes personal identifiable information (PII) such as SSNs, addresses, emails, and critical business data.
  • Components of a Data Protection Plan: The 3 core components of a data protection plan are data lifecycle management, access controls, and data storage and backup.
  • Steps to Create a Data Protection Plan: Identify critical data, understand data regulations, select a backup type and schedule, organize data, limit data access, plan for data restoration, document the plan, and monitor and update regularly.
  • Pro Tips for Stronger Data Protection: Frequent backups, automation, redundant systems, and data restore testing can help strengthen your data protection plan.

There has been a sharp increase in the amount of personal and organizational data that is stored online and on devices. Losing this data could result in disastrous consequences for businesses or individuals, which means that data protection is certainly necessary. Data protection plans are essential for the safety and security of data within all organizations.

What is a data protection plan?

A data protection plan involves any steps taken to safeguard important organizational data. This includes protecting information from ransomware or other cyber threats or restoring backed-up information in case it’s compromised.

A data protection policy provides guidelines to direct and standardize how your organization protects its sensitive data. Data protection plans should be aligned with an organization’s data protection policy.

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What does a data protection plan cover?

A data protection plan covers a wide array of information that falls under the umbrella of “sensitive data.” Sensitive data is confidential information that should be protected from either loss or unwarranted access.

Examples of personal sensitive data are phone numbers, addresses, emails, dates of birth, social security numbers or equivalents, and other identifying information. Sensitive data can also be any essential organizational data that needs authorized access, is central to an organization’s data storage, or is necessary for the continual operations of an organization.

Why is a data protection plan important?

Creating a data protection plan for your organization is key to ensuring organizational data is protected and secure. If any part of your IT system fails, a data protection plan will have an action item in place to address the failure. This provides peace of mind for you and your organization.

Data protection plans also help to address the laws and regulations surrounding the use of consumers’ and clients’ personal data. For example, the General Data Protection Regulation (GDPR) is a regulation in the EU that was established to empower individuals to control the data collected about them. Organizations collecting this personal data are also being held accountable through the use of guidelines on what can or can’t be done with this personal data, paying fees for noncompliance.

3 important components of a data protection plan

Data protection plans contain many components to ensure that data is protected holistically. Elements typically included in data protection plans are as follows:

1) Data lifecycle

A successful data protection plan begins by considering the different phases of the data lifecycle, from beginning to end. Data lifecycle management ensures that you protect your data through the entire lifecycle, instead of having data protection be a last resort.

The data lifecycle starts out with the input or collection of information. The data is then evaluated, and where it’s stored is determined. Following storage, data is used as well as shared and spread to locations where it’s needed.

The lifecycle “ends” with establishing limited access, along with reusing the data where needed, until such time that the data is archived and eventually discarded with the proper steps. Throughout each stage of this lifecycle, data protection should be a priority.

2) Data access management

Controlling access to the data is crucial for ensuring its protection. This can be accomplished through means such as password protection, encryption, role-based access control, multi-factor authentication (MFA), and so on. For instance, with password protection and encryption, only personnel with the correct passwords or decryption methods have access, keeping the information secure.

Managing data access is one of the best ways to ensure data protection. By limiting those who have access, you can prevent adverse results such as the release of sensitive data, fraudulent use of the data, or data destruction.

3) Data storage

Data storage is essential to ensuring quick and easy access to copies of data in case you have information that has been compromised in any way. Determine which storage locations, types, and methods will work best for your organization, and then create a backup strategy to reflect those determinations.

The 3-2-1 backup strategy is a general recommendation for organizations when it comes to storing backups. To follow this method, store three copies of your data in different locations; then make sure that two copies are on different mediums and one is stored away from the site of the organization.

Watch our “Data Protection Methods for IT & MSP Teams” video to learn more.

How to create a data protection plan

Follow these steps to ensure the creation of a successful data protection plan:

Decide what data to protect

Determine what data within your organization needs to be protected for business operations, regulations related to personal data, or other key components. Then you can create your data protection plan knowing the information you’re aiming to protect.

Know the regulations

Data regulations such as the

are necessary to know so your plan can be created in line with those regulations. It’s equally important to review your data protection plan annually so that it remains compliant as these regulations evolve.

Choose a backup type and schedule

Certain backup types will work better for some organizations than others, so choose a type of backup that aligns with your data protection goals. Consider creating a schedule as well, with automated backups, to ensure that data is backed up and protected and you don’t forget to do it manually.

Organize the data

Sort out the data so that, when needed, it’s easy to find and access. This helps with operations within the organization as well as efficiently restoring lost data.

Control access to data

Restrict data access to only individuals who need access to the information so they can perform their responsibilities. Data should only be available on a need-to-know basis.

Make a plan for data restoration

Your data protection plan is only as good as its ability to effectively restore compromised data, so be sure to plan for efficient data restoration.

Document your data protection plan

A quality plan for data protection should be documented to ensure that all organizational members know and are aware of the plan if their data is compromised. IT documentation is an excellent tool used to record this important information.

Continually monitor the data

Keep track of the data backups and ensure that they’re being carried out regularly. This ensures that if an issue crops up, you can proactively resolve it.

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4 tips for data protection plans

Data protection plans can seem daunting given how important it is to keep data secure, but following these tips can help make your data protection plan run more smoothly:

1) Back up data often

If your original data is compromised, you can only guarantee having the information you’ve previously backed up. Prevent the unnecessary loss of data by performing backups of organizational data often so there are fewer gaps between the data sets.

2) Set automated systems

It’s risky to leave data protection up to forgetful human minds, so take advantage of automated systems to carry out your data protection plan. Use “set and forget” solutions to take the work and worry out of the process.

3) Establish backup redundancies

It might seem like a waste to keep more than one copy of the data on hand, but backup redundancies are key when it comes to maintaining continuity in business operations. This is an easy way to ensure that you always have the necessary data available.

4) Test your data restoration procedures

Data protection plans are designed for the purpose of restoring data that’s been compromised in any way. For extra reassurance, regularly test how your data is restored to devices or environments to ensure that this data can be recovered when needed.

Protect your organization’s crucial data

Overall, a data protection plan enables your organization to take charge and protect vital data in your possession. Read about proactive IT management to learn more about how to make the management of your IT environment’s data more effective.

NinjaOne Data Protection, which now comes with SaaS backup capabilities, gives you the tools you need to be prepared against data loss and secure organizational information—all through a single pane of glass. Sign up today for a free trial or watch a free demo.

FAQs

A data protection plan itself isn’t always explicitly required, but most data protection regulations effectively mandate one.

Laws like the GDPR, NIS2, HIPAA, and SOC 2 require organizations to demonstrate how they secure, back up, and recover sensitive data—something that’s nearly impossible without a documented data protection plan.

A data protection plan should be reviewed at least once per year and updated whenever there are major changes to regulations, infrastructure, SaaS tools, or business operations. Many organizations also update their plans after security incidents or audit findings.

A data protection policy defines the rules and expectations for handling data, while a data protection plan explains how those rules are enforced in practice.

The policy sets direction; the plan details

  • tools,
  • processes,
  • backups,
  • access controls, and
  • recovery actions.

Yes. Modern data protection plans should explicitly address ransomware. This includes

  • immutable or air-gapped backups,
  • defined recovery time objectives (RTOs),
  • restore testing, and
  • incident response steps

to ensure data can be recovered without paying a ransom.

Most SaaS providers operate under a shared responsibility model, meaning customers are still responsible for protecting their own data.

A strong data protection plan includes independent SaaS backups to protect against accidental deletion, ransomware, insider threats, and sync errors.

Without a data protection plan, organizations face

  • higher risk of data loss,
  • longer downtime,
  • regulatory penalties, and
  • reputational damage.

In the event of an audit or breach, the lack of a documented plan can also be viewed as noncompliance with security and privacy regulations.

Responsibility typically falls on IT, security, or compliance teams, but effective data protection plans require collaboration across departments.

Many organizations assign ownership to a security lead or IT administrator while ensuring leadership oversight and regular reviews.

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