Cloud Data Security: 7 Tips for Securing Your Data in the Cloud

Cloud Data Security: 7 Tips for Securing Your Data in the Cloud

  • January 17, 2023

Four out of five organizations suffered a serious cloud security incident last year.

Despite the security risks, organizations continue to deploy and invest in more cloud infrastructure because of the affordability and scalability it offers. As organizations move more data to the cloud, it’s essential they understand persistent cloud security challenges and how best to address them. 

Below we’ll cover what cloud data security is, why it’s important, and the most common challenges confronting organizations. Then we’ll look at best practices to help protect your organization from serious cloud security incidents.

What is cloud data security?

Cloud data security refers to the efforts made to protect an organization’s data in the cloud from loss, leakage, and/or misuse. 

This includes data at rest and in transit, as well as data that is managed internally by the organization and externally by a third party, like a cloud service provider.

A cloud data security strategy aims to:

  • Protect data across networks, applications, and cloud environments
  • Provide complete visibility into changes in the cloud environment
  • Control access to data for users, devices, and software
  • Identify and mitigate the evolving risks of cloud deployments
  • Define data security policies

How secure is your data in the cloud?

Data is no more or less secure in the cloud than it is in a physical server or data center. However, this data must be protected against the unique risks and threats in a cloud environment. 

The issue is that many companies that are migrating sensitive or critical data to the cloud rely on their existing security strategy and traditional tools. To protect this data, companies must update their strategy to meet the security requirements of the cloud environment. 

Another issue is that organizations rely on the cloud provider to take care of all security functions. This is a mistake. Cloud data security is a shared responsibility between the cloud provider and customer.

In most shared responsibility models, the provider is responsible for the underlying hardware while the customer is responsible for the infrastructure and application layer. For example, if you are storing data in AWS Cloud, AWS is responsible for security of the infrastructure that runs all of the services in the AWS Cloud. The customer is responsible for the secure configurations of the cloud services in use as well as any customer data. 

However, this model depends on the cloud service provider. We advise asking your vendor for a Customer Responsibility Matrix (CRM), which documents which security controls and components your organization is responsible for and which the vendor is responsible for.

Why cloud data security is important

Companies are not only collecting more data than ever before — they’re also storing more of it in the cloud and often in multiple environments, including public, private, and hybrid clouds and SaaS applications.  

This presents challenges for protecting and securing their business, financial, and customer data. Challenges include:

  • Locating their data 
  • Having visibility into who is accessing their data, with what devices, and for what purpose 
  • Knowing how cloud providers are storing and securing their data  
  • Mitigating the risk of security breaches, data loss, and malware

Companies must also comply with data protection and privacy laws and regulations, like GDPR, CCPA, and HIPAA. Doing so can be difficult for companies that store data in multiple cloud environments because they must consistently implement security controls and document compliance across these environments.

Organizations that fail to address these challenges are more likely to experience security incidents, which can result in serious repercussions. An incident may result in fines for failed audits and compliance violations, reputational damage, a loss of business due to system downtime, and more.

Take Capital One’s 2019 data breach that affected over 100 million people, for example. Due to numerous weaknesses in its management of the cloud environment, among other reasons, Capital One was fined $80 million by the Office of the Comptroller of the Currency.

A robust cloud data security strategy can help address all these challenges and avoid cloud security incidents, including data breaches, leaks, compliance violations, and failed audits.

Cloud data security challenges

Cloud computing offers a wide range of benefits — cost-effectiveness, backup and recovery of data, scalability. To reap those benefits however, you must overcome the challenges of securing data in cloud computing. Let’s take a closer look at these challenges below.

Cloud misconfigurations

Cloud misconfigurations are the primary risk for organizations storing data in the cloud. Attackers can use automation to detect misconfigurations they can exploit in order to gain access to your cloud environment.

In a survey by Fugue, 92% of IT professionals said they were worried that their organization was vulnerable to a major data breach related to cloud misconfiguration. That same survey revealed that 36% of organizations surveyed were experiencing 100 or more cloud misconfigurations per day. 

Causes of cloud misconfigurations include:

  • lack of awareness of cloud security and policies
  • lack of adequate controls and oversight
  • too many cloud APIs and interfaces to adequately govern
  • negligent insider behavior
  • increase in processing errors

Snyk statistic that 92% of IT professionals are worried their organization was vulnerable to a major data breach related to a cloud misconfiguration

Data leaks and losses

Cloud data leaks were among the most common cloud security incidents in the past year, with 26% of organizations experiencing a data leak, according to Snyk’s 2022 State of Cloud Security Report.

Data leaks and losses could be caused by a range of factors, including:

  • viruses or malware
  • software corruption
  • human error
  • hackers or insiders that purposely delete or leak information

Lack of visibility into user activity

To keep data secure in the cloud, you need visibility into which applications are being accessed, by whom, and what they’re doing inside those applications. This becomes more difficult when applications are housed on third-party infrastructure. 

A lack of visibility into user activity in the cloud can hinder an organization’s ability to identify and mitigate risks and respond to incidents. This is why logging and monitoring of your system and its users is critical.

Data security policy violations

Violations of data security policies can compromise the security of data stored in the cloud and lead to incidents like data breaches. These violations can occur due to human error or malicious intent.

For example, an employee might mistakenly move or modify data in the cloud environment. As a result, other employees may not be able to find that data or it could get into the wrong hands. This is just one example of how human error can lead to data loss. 

In Snyk’s 2022 State of Cloud Security Report, 28% of survey respondents cited lack of awareness of cloud security policies as an underlying cause of cloud security failures, making it the top-cited cause.

Unsecured APIs

Cloud providers make APIs available to engineers so they can build and configure their cloud environments. This collection of APIs make up the cloud control plane. If improperly secured, these APIs can increase the cloud attack surface and make you more vulnerable to data breaches. 

Cloud data security best practices

Wondering how you can improve your cloud security? We offer seven best practices below. 

List of seven tips for improving cloud data security

1. Understand your cloud environment.

Your ability to secure data in cloud environments hinges on your understanding of those environments. You must be able to answer the following questions:

  • Is your cloud environment public, private, or hybrid?
  • How is your infrastructure built and how does traffic flow through it? 
  • What data do you have in the cloud and where is it located?
  • Which data is exposed, how is it exposed, and what are the potential risks?     
  • Which applications are being accessed and by whom?
  • How are applications accessed? Do you have identification and authentication controls implemented?
  • How are people using data in those applications?
  • Which data do you need to protect and at what level?

2. Comply with regulations and guidelines.

Meeting industry and government regulations across your entire cloud infrastructure is a challenge. But having the proper security policies and standards in place will not only help you achieve compliance across cloud environments — it will also help keep your data safe. 

The first step in achieving cloud compliance is identifying which regulations and industry standards apply to your organization. 

Common cloud security frameworks include:

3. Take a policy-as-code approach. 

Security policies that exist solely in PDF documents are less effective than policy that exists in code. This approach to policy management, known as policy-as-code (PaC), used code-based automation instead of manual processes to create, update, and share policies.

With PaC, tools and applications can automatically validate code and configurations so policies are implemented and enforced consistently across the organization. It can also be used to check other code and environments in the cloud for unwanted conditions that could result in an exploitation or compliance violation. 

4. Encrypt sensitive data.

Cloud encryption is the process of converting plain text into cipher text using mathematical algorithms in order to make the data unreadable to unauthorized users. Only users with the correct decryption key will be able to convert the cipher text back into plain text. Users who are granted the decryption keys must have their identity established and verified through some form of multi-factor authentication.

This is a simple but effective method for protecting sensitive data in the cloud, even in the case of a data breach. It also protects data in transit, ie. data moving to and from cloud-based applications.

5. Create identity and access management policies. 

Identity and access management (IAM) policies are critical to a cloud data security strategy. IAM policies can be applied to users and groups to authorize what they can access or to cloud resources to authorize what can be done with them. Together, these policies verify that only the right people with the right privileges are accessing data stored in the cloud and using it in the right way. 

6. Educate employees.

Organizations that store data in the cloud must provide employee training that covers the fundamentals of cybersecurity and their data security policies. Awareness of security best practices and policies, like using multi-factor authentication, can help protect the cloud environment. 

This training should also cover shadow IT, the use of information technology systems, devices, software, applications, and services without explicit IT department approval. While shadow IT can seem harmless — like sending work documents to a personal email to work from home — it can lead to lost data, an increased attack surface, and non-compliance. 

Organizations should consider offering basic training to all employees, and high-level training for more advanced users and administrators who are directly involved in the implementation or management of the organization’s cloud infrastructure. 

7. Monitor and log user activity.

Setting up a monitoring and logging system in your cloud infrastructure can help your security team identify how people are accessing and using data in the cloud environment. This can help identify and alert you to any employees that are violating data security policies by uploading sensitive data to public clouds or using non-approved services and applications, for example.

It can also make remediation easier. If a hacker gains access to the cloud environment and makes any changes to its settings or data, you can see exactly what changes have been made and revert them. 

How Secureframe can help you improve your cloud security

You don’t have to tackle the challenge of securing data in the cloud alone. 

Secureframe can help by connecting with your cloud infrastructure including AWS, Azure, and Google Cloud. We scan your cloud provider and deliver risk reports along with tailored step-by-step guides for remediation. 

Schedule a demo today to find out how Secureframe can help you improve your cloud security posture.