Blog
September 26, 2024

How to Create a Data Classification Policy/Model

Discover the importance of data classification policies for protecting sensitive information. Learn how to create a comprehensive policy, implement it effectively, and ensure compliance.

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Key points

  • A data classification policy is essential for securing sensitive information.
  • Proper categorisation helps mitigate risks associated with data breaches.
  • Organisations without a clear policy face potential legal and financial repercussions.
  • Metomic offers tools to streamline the creation and management of data classification policies.

With rising data breaches and stricter regulations, effective data classification policies are vital for protecting sensitive information.

Data classification policies are essential tools for any organisation that wants to keep its information secure and well-organised. At their core, these policies help businesses categorise data based on its sensitivity and importance, making it easier to manage and protect.

As data breaches become increasingly common, prioritising data security is more important than ever. Not only does it help safeguard sensitive information, but it also builds trust with customers and stakeholders.

Moreover, with regulatory requirements around data protection growing stricter, organisations must adapt to stay compliant. Embracing a robust data classification policy isn't just a best practice—it's becoming a necessity in today’s world.

What is a data classification policy?

A data classification policy is a framework that helps organisations categorise their data based on sensitivity and importance. Its primary purpose is to ensure that sensitive information is properly protected, reducing the risk of data breaches and compliance issues.

Essentially, a data classification policy defines categories for data—such as public, internal, confidential, and private. By organising data this way, organisations can implement appropriate security measures for each category, ensuring that sensitive data receives the highest level of protection.

Implementing a clear data classification policy not only safeguards sensitive information but also enables compliance with regulatory standards and protects valuable assets.

Dr Peter Aiken, a recognised authority in data management and former president of the Data Management Association (DAMA), estimates that fixing poor data governance can consume 20% to 40% of IT budgets. Clearly, having a solid data classification policy is vital, as it allows organisations to allocate resources more efficiently and mitigate costs associated with data mismanagement.

Who is responsible for creating one?

Developing a data classification policy isn’t a one-person job; it involves several key roles within an organisation.

The process typically includes collaboration between IT and security teams, along with input from compliance officers and data governance specialists. Each stakeholder brings valuable insights that help shape an effective policy tailored to the organisation's needs.

IT teams play a crucial role in understanding the technical aspects of data storage and protection. They know what data exists, where it’s located, and the existing infrastructure. Meanwhile, security teams are essential for assessing risks and identifying the appropriate safeguards needed to protect sensitive information.

Collaboration between these teams is vital. Without clear communication and a shared vision, organisations can find themselves with gaps in data management practices. In fact, a recent survey found that six in ten (57%) senior executives in the UK financial services sector believe their organisation is at risk of a data breach due to poor data management.

Engaging multiple perspectives in the policy development process ensures that the resulting framework is effective and aligned with the organisation’s overall goals.

What are the benefits for organisations?

Implementing a data classification policy offers numerous benefits that can enhance an organisation’s data management efforts.

First, it enhances security for sensitive data. By categorising information based on sensitivity, organisations can apply appropriate safeguards, helping to prevent breaches and build trust with clients.

Additionally, a solid policy aids in compliance with increasingly strict regulatory standards, streamlining the audit process and saving valuable resources.

Another advantage is better resource allocation for data protection. By identifying critical data, organisations can focus their budgets and efforts where they matter most.

As work and business shift more towards cloud-native platforms, the need for effective data classification will only grow. By 2025, over 95% of new digital workloads will likely be implemented in these environments, making it essential for organisations to refine their data classification practices now.

What are the risks of not creating one?

Failing to implement a data classification policy can expose an organisation to serious risks.

One of the most immediate concerns is the increased likelihood of data breaches. Without a clear system in place to protect sensitive information, it becomes far easier for data to slip through the cracks, leading to potentially costly incidents.

Legal liabilities and fines are another risk. As data protection regulations grow stricter, including things like GDPR, organisations without proper data governance can face hefty penalties. This is especially concerning given that the average cost of a data breach has now reached $4.88 million.

Beyond financial losses, a data breach can severely damage an organisation's reputation, causing customers to lose trust and, in many cases, take their business elsewhere, with 66% of consumers saying they wouldn’t trust a company that had suffered a data breach.

In short, neglecting to establish a data classification policy not only jeopardises security but can also lead to significant financial and reputational harm.

How can organisations create a data classification policy? What are the best practices?

Creating a solid data classification policy isn’t as complicated as it sounds, but it does take some thoughtful planning and teamwork.

Here’s what you should keep in mind:

1. Start by organising your data

‍Group your data into categories (like confidential, internal, or public) to ensure that sensitive information gets the protection it needs.

2. Involve the right people

Make sure your IT and security teams, along with key business leaders, are part of the process to cover all the bases.

3. Focus on training

Since human error is a huge factor in data breaches, regular employee training and awareness are key to reducing mistakes.

4. Keep it simple

Your policy should be straightforward and easy for everyone to understand, with clear instructions on how to handle data safely.

5. Review and update regularly

As new threats or regulations come up, be sure to tweak and improve the policy so it stays relevant.

6. Get everyone on board

Make sure all departments are aligned with the policy, so it’s followed consistently across the company.

Companies with good data classification systems detect security issues faster, with 24% spotting incidents within minutes and 43% within days.

By sticking to these steps, you’ll be well on your way to a policy that keeps your data safe and builds a culture of security within the organisation.

We’ve provided you with a Data Classification Policy template, so you can see how your organisation might create one of your own.

How can organisations implement and ensure the policies are adhered to, minimising human error?

Even the best data classification policy won’t protect your organisation if it isn’t properly implemented or followed. So, how do you make sure everyone’s on board and reduce human error?

  • Make adherence easy: Start by integrating the policy into your employees’ daily workflows. The simpler and more intuitive the process, the more likely people are to follow it.
  • Use technology to your advantage: Automation tools can help monitor compliance, flagging any misuse or mishandling of data before it becomes a bigger issue. This ensures employees don’t have to rely purely on memory or manual checks.
  • Track progress: Use regular audits to see where things are going right and where they could improve. This helps to identify any weak spots in compliance.
  • Encourage accountability: Make sure employees understand how important their role is in keeping data safe, and tie compliance to individual responsibilities to keep everyone engaged.

By combining practical training with smart tech, you can make policy adherence second nature in your organisation—helping to keep both human error and security risks at bay.

How can Metomic help?

Metomic makes it easier to establish and maintain your data classification policies with some handy features that fit right into your workflow.

  • Data Classification Software: Our AI technology automatically finds and classifiies sensitive data across your cloud and SaaS environments. This gives you a clear picture of what you have, which is vital for effective data classification.‍
  • Customisable classification labels: You can easily apply context-aware labels to your data. This helps you spot what needs protection and keeps you compliant with industry standards.‍
  • Enabling complex workflows: With classification labels, you can set up workflows that, for example, revoke public access to files marked as 'Confidential'. It’s a simple way to add extra security.‍
  • Compliance support: Metomic helps you tick all the right boxes for regulatory requirements like ISO 27001, GDPR, and HIPAA by accurately tagging and managing your data based on its classification.

With these features, Metomic can help you create and maintain an effective data classification policy, making sure your sensitive information stays secure and compliant.

Getting started with Metomic.

Getting started with Metomic is a breeze and can significantly enhance your data security by helping you establish a robust data classification policy. Here’s how to begin:

Free risk assessment

We offer free risk assessments to help you identify potential data security risks across your organisation, including for Google Drive, and Slack.

Book a personalised demo

If you’d like a more hands-on approach, book a personalised demo with our security experts. They'll show you how Metomic can be customised to meet your organisation's unique data classification needs.

By taking these steps, you’ll be well on your way to creating an effective data classification policy that keeps your sensitive information secure.

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Table of contents
Table of contents
Table of contents
Table of contents

Ben van Enckevort

CTO and Co-Founder

Ben van Enckevort is the co-founder and CTO of Metomic

Key points

  • A data classification policy is essential for securing sensitive information.
  • Proper categorisation helps mitigate risks associated with data breaches.
  • Organisations without a clear policy face potential legal and financial repercussions.
  • Metomic offers tools to streamline the creation and management of data classification policies.

With rising data breaches and stricter regulations, effective data classification policies are vital for protecting sensitive information.

Data classification policies are essential tools for any organisation that wants to keep its information secure and well-organised. At their core, these policies help businesses categorise data based on its sensitivity and importance, making it easier to manage and protect.

As data breaches become increasingly common, prioritising data security is more important than ever. Not only does it help safeguard sensitive information, but it also builds trust with customers and stakeholders.

Moreover, with regulatory requirements around data protection growing stricter, organisations must adapt to stay compliant. Embracing a robust data classification policy isn't just a best practice—it's becoming a necessity in today’s world.

What is a data classification policy?

A data classification policy is a framework that helps organisations categorise their data based on sensitivity and importance. Its primary purpose is to ensure that sensitive information is properly protected, reducing the risk of data breaches and compliance issues.

Essentially, a data classification policy defines categories for data—such as public, internal, confidential, and private. By organising data this way, organisations can implement appropriate security measures for each category, ensuring that sensitive data receives the highest level of protection.

Implementing a clear data classification policy not only safeguards sensitive information but also enables compliance with regulatory standards and protects valuable assets.

Dr Peter Aiken, a recognised authority in data management and former president of the Data Management Association (DAMA), estimates that fixing poor data governance can consume 20% to 40% of IT budgets. Clearly, having a solid data classification policy is vital, as it allows organisations to allocate resources more efficiently and mitigate costs associated with data mismanagement.

Who is responsible for creating one?

Developing a data classification policy isn’t a one-person job; it involves several key roles within an organisation.

The process typically includes collaboration between IT and security teams, along with input from compliance officers and data governance specialists. Each stakeholder brings valuable insights that help shape an effective policy tailored to the organisation's needs.

IT teams play a crucial role in understanding the technical aspects of data storage and protection. They know what data exists, where it’s located, and the existing infrastructure. Meanwhile, security teams are essential for assessing risks and identifying the appropriate safeguards needed to protect sensitive information.

Collaboration between these teams is vital. Without clear communication and a shared vision, organisations can find themselves with gaps in data management practices. In fact, a recent survey found that six in ten (57%) senior executives in the UK financial services sector believe their organisation is at risk of a data breach due to poor data management.

Engaging multiple perspectives in the policy development process ensures that the resulting framework is effective and aligned with the organisation’s overall goals.

What are the benefits for organisations?

Implementing a data classification policy offers numerous benefits that can enhance an organisation’s data management efforts.

First, it enhances security for sensitive data. By categorising information based on sensitivity, organisations can apply appropriate safeguards, helping to prevent breaches and build trust with clients.

Additionally, a solid policy aids in compliance with increasingly strict regulatory standards, streamlining the audit process and saving valuable resources.

Another advantage is better resource allocation for data protection. By identifying critical data, organisations can focus their budgets and efforts where they matter most.

As work and business shift more towards cloud-native platforms, the need for effective data classification will only grow. By 2025, over 95% of new digital workloads will likely be implemented in these environments, making it essential for organisations to refine their data classification practices now.

What are the risks of not creating one?

Failing to implement a data classification policy can expose an organisation to serious risks.

One of the most immediate concerns is the increased likelihood of data breaches. Without a clear system in place to protect sensitive information, it becomes far easier for data to slip through the cracks, leading to potentially costly incidents.

Legal liabilities and fines are another risk. As data protection regulations grow stricter, including things like GDPR, organisations without proper data governance can face hefty penalties. This is especially concerning given that the average cost of a data breach has now reached $4.88 million.

Beyond financial losses, a data breach can severely damage an organisation's reputation, causing customers to lose trust and, in many cases, take their business elsewhere, with 66% of consumers saying they wouldn’t trust a company that had suffered a data breach.

In short, neglecting to establish a data classification policy not only jeopardises security but can also lead to significant financial and reputational harm.

How can organisations create a data classification policy? What are the best practices?

Creating a solid data classification policy isn’t as complicated as it sounds, but it does take some thoughtful planning and teamwork.

Here’s what you should keep in mind:

1. Start by organising your data

‍Group your data into categories (like confidential, internal, or public) to ensure that sensitive information gets the protection it needs.

2. Involve the right people

Make sure your IT and security teams, along with key business leaders, are part of the process to cover all the bases.

3. Focus on training

Since human error is a huge factor in data breaches, regular employee training and awareness are key to reducing mistakes.

4. Keep it simple

Your policy should be straightforward and easy for everyone to understand, with clear instructions on how to handle data safely.

5. Review and update regularly

As new threats or regulations come up, be sure to tweak and improve the policy so it stays relevant.

6. Get everyone on board

Make sure all departments are aligned with the policy, so it’s followed consistently across the company.

Companies with good data classification systems detect security issues faster, with 24% spotting incidents within minutes and 43% within days.

By sticking to these steps, you’ll be well on your way to a policy that keeps your data safe and builds a culture of security within the organisation.

We’ve provided you with a Data Classification Policy template, so you can see how your organisation might create one of your own.

How can organisations implement and ensure the policies are adhered to, minimising human error?

Even the best data classification policy won’t protect your organisation if it isn’t properly implemented or followed. So, how do you make sure everyone’s on board and reduce human error?

  • Make adherence easy: Start by integrating the policy into your employees’ daily workflows. The simpler and more intuitive the process, the more likely people are to follow it.
  • Use technology to your advantage: Automation tools can help monitor compliance, flagging any misuse or mishandling of data before it becomes a bigger issue. This ensures employees don’t have to rely purely on memory or manual checks.
  • Track progress: Use regular audits to see where things are going right and where they could improve. This helps to identify any weak spots in compliance.
  • Encourage accountability: Make sure employees understand how important their role is in keeping data safe, and tie compliance to individual responsibilities to keep everyone engaged.

By combining practical training with smart tech, you can make policy adherence second nature in your organisation—helping to keep both human error and security risks at bay.

How can Metomic help?

Metomic makes it easier to establish and maintain your data classification policies with some handy features that fit right into your workflow.

  • Data Classification Software: Our AI technology automatically finds and classifiies sensitive data across your cloud and SaaS environments. This gives you a clear picture of what you have, which is vital for effective data classification.‍
  • Customisable classification labels: You can easily apply context-aware labels to your data. This helps you spot what needs protection and keeps you compliant with industry standards.‍
  • Enabling complex workflows: With classification labels, you can set up workflows that, for example, revoke public access to files marked as 'Confidential'. It’s a simple way to add extra security.‍
  • Compliance support: Metomic helps you tick all the right boxes for regulatory requirements like ISO 27001, GDPR, and HIPAA by accurately tagging and managing your data based on its classification.

With these features, Metomic can help you create and maintain an effective data classification policy, making sure your sensitive information stays secure and compliant.

Getting started with Metomic.

Getting started with Metomic is a breeze and can significantly enhance your data security by helping you establish a robust data classification policy. Here’s how to begin:

Free risk assessment

We offer free risk assessments to help you identify potential data security risks across your organisation, including for Google Drive, and Slack.

Book a personalised demo

If you’d like a more hands-on approach, book a personalised demo with our security experts. They'll show you how Metomic can be customised to meet your organisation's unique data classification needs.

By taking these steps, you’ll be well on your way to creating an effective data classification policy that keeps your sensitive information secure.

Key points

  • A data classification policy is essential for securing sensitive information.
  • Proper categorisation helps mitigate risks associated with data breaches.
  • Organisations without a clear policy face potential legal and financial repercussions.
  • Metomic offers tools to streamline the creation and management of data classification policies.

With rising data breaches and stricter regulations, effective data classification policies are vital for protecting sensitive information.

Data classification policies are essential tools for any organisation that wants to keep its information secure and well-organised. At their core, these policies help businesses categorise data based on its sensitivity and importance, making it easier to manage and protect.

As data breaches become increasingly common, prioritising data security is more important than ever. Not only does it help safeguard sensitive information, but it also builds trust with customers and stakeholders.

Moreover, with regulatory requirements around data protection growing stricter, organisations must adapt to stay compliant. Embracing a robust data classification policy isn't just a best practice—it's becoming a necessity in today’s world.

What is a data classification policy?

A data classification policy is a framework that helps organisations categorise their data based on sensitivity and importance. Its primary purpose is to ensure that sensitive information is properly protected, reducing the risk of data breaches and compliance issues.

Essentially, a data classification policy defines categories for data—such as public, internal, confidential, and private. By organising data this way, organisations can implement appropriate security measures for each category, ensuring that sensitive data receives the highest level of protection.

Implementing a clear data classification policy not only safeguards sensitive information but also enables compliance with regulatory standards and protects valuable assets.

Dr Peter Aiken, a recognised authority in data management and former president of the Data Management Association (DAMA), estimates that fixing poor data governance can consume 20% to 40% of IT budgets. Clearly, having a solid data classification policy is vital, as it allows organisations to allocate resources more efficiently and mitigate costs associated with data mismanagement.

Who is responsible for creating one?

Developing a data classification policy isn’t a one-person job; it involves several key roles within an organisation.

The process typically includes collaboration between IT and security teams, along with input from compliance officers and data governance specialists. Each stakeholder brings valuable insights that help shape an effective policy tailored to the organisation's needs.

IT teams play a crucial role in understanding the technical aspects of data storage and protection. They know what data exists, where it’s located, and the existing infrastructure. Meanwhile, security teams are essential for assessing risks and identifying the appropriate safeguards needed to protect sensitive information.

Collaboration between these teams is vital. Without clear communication and a shared vision, organisations can find themselves with gaps in data management practices. In fact, a recent survey found that six in ten (57%) senior executives in the UK financial services sector believe their organisation is at risk of a data breach due to poor data management.

Engaging multiple perspectives in the policy development process ensures that the resulting framework is effective and aligned with the organisation’s overall goals.

What are the benefits for organisations?

Implementing a data classification policy offers numerous benefits that can enhance an organisation’s data management efforts.

First, it enhances security for sensitive data. By categorising information based on sensitivity, organisations can apply appropriate safeguards, helping to prevent breaches and build trust with clients.

Additionally, a solid policy aids in compliance with increasingly strict regulatory standards, streamlining the audit process and saving valuable resources.

Another advantage is better resource allocation for data protection. By identifying critical data, organisations can focus their budgets and efforts where they matter most.

As work and business shift more towards cloud-native platforms, the need for effective data classification will only grow. By 2025, over 95% of new digital workloads will likely be implemented in these environments, making it essential for organisations to refine their data classification practices now.

What are the risks of not creating one?

Failing to implement a data classification policy can expose an organisation to serious risks.

One of the most immediate concerns is the increased likelihood of data breaches. Without a clear system in place to protect sensitive information, it becomes far easier for data to slip through the cracks, leading to potentially costly incidents.

Legal liabilities and fines are another risk. As data protection regulations grow stricter, including things like GDPR, organisations without proper data governance can face hefty penalties. This is especially concerning given that the average cost of a data breach has now reached $4.88 million.

Beyond financial losses, a data breach can severely damage an organisation's reputation, causing customers to lose trust and, in many cases, take their business elsewhere, with 66% of consumers saying they wouldn’t trust a company that had suffered a data breach.

In short, neglecting to establish a data classification policy not only jeopardises security but can also lead to significant financial and reputational harm.

How can organisations create a data classification policy? What are the best practices?

Creating a solid data classification policy isn’t as complicated as it sounds, but it does take some thoughtful planning and teamwork.

Here’s what you should keep in mind:

1. Start by organising your data

‍Group your data into categories (like confidential, internal, or public) to ensure that sensitive information gets the protection it needs.

2. Involve the right people

Make sure your IT and security teams, along with key business leaders, are part of the process to cover all the bases.

3. Focus on training

Since human error is a huge factor in data breaches, regular employee training and awareness are key to reducing mistakes.

4. Keep it simple

Your policy should be straightforward and easy for everyone to understand, with clear instructions on how to handle data safely.

5. Review and update regularly

As new threats or regulations come up, be sure to tweak and improve the policy so it stays relevant.

6. Get everyone on board

Make sure all departments are aligned with the policy, so it’s followed consistently across the company.

Companies with good data classification systems detect security issues faster, with 24% spotting incidents within minutes and 43% within days.

By sticking to these steps, you’ll be well on your way to a policy that keeps your data safe and builds a culture of security within the organisation.

We’ve provided you with a Data Classification Policy template, so you can see how your organisation might create one of your own.

How can organisations implement and ensure the policies are adhered to, minimising human error?

Even the best data classification policy won’t protect your organisation if it isn’t properly implemented or followed. So, how do you make sure everyone’s on board and reduce human error?

  • Make adherence easy: Start by integrating the policy into your employees’ daily workflows. The simpler and more intuitive the process, the more likely people are to follow it.
  • Use technology to your advantage: Automation tools can help monitor compliance, flagging any misuse or mishandling of data before it becomes a bigger issue. This ensures employees don’t have to rely purely on memory or manual checks.
  • Track progress: Use regular audits to see where things are going right and where they could improve. This helps to identify any weak spots in compliance.
  • Encourage accountability: Make sure employees understand how important their role is in keeping data safe, and tie compliance to individual responsibilities to keep everyone engaged.

By combining practical training with smart tech, you can make policy adherence second nature in your organisation—helping to keep both human error and security risks at bay.

How can Metomic help?

Metomic makes it easier to establish and maintain your data classification policies with some handy features that fit right into your workflow.

  • Data Classification Software: Our AI technology automatically finds and classifiies sensitive data across your cloud and SaaS environments. This gives you a clear picture of what you have, which is vital for effective data classification.‍
  • Customisable classification labels: You can easily apply context-aware labels to your data. This helps you spot what needs protection and keeps you compliant with industry standards.‍
  • Enabling complex workflows: With classification labels, you can set up workflows that, for example, revoke public access to files marked as 'Confidential'. It’s a simple way to add extra security.‍
  • Compliance support: Metomic helps you tick all the right boxes for regulatory requirements like ISO 27001, GDPR, and HIPAA by accurately tagging and managing your data based on its classification.

With these features, Metomic can help you create and maintain an effective data classification policy, making sure your sensitive information stays secure and compliant.

Getting started with Metomic.

Getting started with Metomic is a breeze and can significantly enhance your data security by helping you establish a robust data classification policy. Here’s how to begin:

Free risk assessment

We offer free risk assessments to help you identify potential data security risks across your organisation, including for Google Drive, and Slack.

Book a personalised demo

If you’d like a more hands-on approach, book a personalised demo with our security experts. They'll show you how Metomic can be customised to meet your organisation's unique data classification needs.

By taking these steps, you’ll be well on your way to creating an effective data classification policy that keeps your sensitive information secure.

Ben van Enckevort

CTO and Co-Founder

Ben van Enckevort is the co-founder and CTO of Metomic

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