Top 7 Cloud Data Protection Best Practices

Types of Cloud Data Protection

1. Encryption

Cloud security relies heavily on encryption to ensure data protection. It involves encoding data in such a way that only authorized users can access it. Implementing encryption for data in transit and data at rest can help protect sensitive data from unauthorized access and data breaches. 

Cloud cryptography uses encryption methods to protect data in the cloud. It enables users to securely access shared cloud services, as any data hosted by cloud providers is encrypted.

2. Authentication and Authorization

To confirm the identity of a user, a technique called authentication is used. However, authentication alone does not guarantee the security of data. Another layer, called authorization, is also needed. Authorization checks whether a user has the permission to access the data or perform the action they want.

Without authentication and authorization, there is no data security. To establish a reliable and secure online environment, it is essential to verify the identity of the person and the validity of the information they provide. This identity check ensures that the person is real and not a fraudster or a bot.

3. Safe Deletion Procedures

Data sometimes needs to be deleted for various reasons. To ensure complete and secure deletion of data, appropriate procedures should be followed. 

Data should not simply be wiped away, but instead securely erased by using a process called “shredding” or overwriting the data multiple times with random information until it is no longer recoverable. Automatic deletion can also be enabled for data that is no longer required or is outdated.

4. Access Control

An adequate access control system can protect your company’s data by ensuring that only authorized individuals have access to it. Access control is a means of ensuring the authenticity of users and verifying that they possess the requisite permissions to access corporate data.

A robust access control system has the capability to:

• Easily adapt to virtual environments (e.g., private clouds).

• Effortlessly integrate with an organization's cloud resources and applications.

Protecting your organization’s cloud-based data requires a combination of these techniques. It’s not just about having one or two measures in place— it’s about creating a comprehensive strategy that covers all aspects of cloud data protection.

Looking for more information on information security management?

At ISMS Connect, we break down complex InfoSec topics for SMBs. We maintain a community where customers can directly access templates, guides, and help from consultants to get ready for certification by themselves.

Why is Cloud Data Protection Important?

Maintains Data Visibility

Cloud data visibility refers to the ability to see all the data in your cloud and how it is secured. This helps you to detect and prevent data security issues and data risks in your cloud environment. 

To create and maintain a data security program with the right controls and technology, organizations need to have full data visibility. For example, they need to know what data they have, where it is located, who can access it and what is the appropriate protection method that will reduce risk.

Ensures Data Integrity

Data integrity is the process of ensuring that data is accurate, consistent, and reliable throughout its life cycle. It is a key aspect of data management, as it can help businesses gain a competitive edge, especially in the era of Big Data. By maintaining data integrity, organizations can improve their data quality, make better data-driven decisions, and reduce the risk of data loss or corruption.

Maintains Compliance

Cloud compliance refers to the process of ensuring that an organization’s use of cloud-based services, resources, and technologies adheres to relevant laws and regulations governing data privacy, security, and management. Achieving cloud compliance helps organizations mitigate risks and protect sensitive information. 

Many cloud services must comply with specific regulations and standards to protect sensitive data. Take the Payment Card Industry Data Security Standard (PCI DSS) as an illustration. This standard is implemented to guarantee the security of debit and credit card transactions. It includes specific provisions for cloud-based deployments.

8 Cloud Data Protection Best Practices

1. Understand Shared Responsibility

In a cloud environment, ensuring security is a joint effort involving both the cloud service provider and the customer. The provider takes on the responsibility of safeguarding the cloud infrastructure, while the customer is accountable for protecting their data and controlling access within the cloud.

To summarize, your responsibilities are usually:

• Data security and privacy (encryption, data masking)

• Access control (authentication, authorization)

• Regulatory compliance

For instance, if you're using a cloud service like Amazon Web Services (AWS), understand that AWS is responsible for the security of the underlying infrastructure (physical servers, data centers), while you're responsible for securing your data and managing access. To implement this, you should use access controls, encryption, and security groups to protect your data within AWS.

2. Identify Security Gaps Between Systems

Different cloud providers offer different capabilities, which can lead to inconsistencies in cloud data protection and security. For example, you may be using AWS for one part of your infrastructure and Azure for another. It’s important to identify the gaps and address them to ensure a consistent level of security across all systems.

To identify security gaps, compare the security features and services provided by both providers. For instance, AWS might have a specific feature for DDoS protection that Azure lacks. In this case, you should fill the gap by using a third-party DDoS protection service, like: 

• CloudFlare

• Incapsula

• Imperva SecureSphere

3. Ensure Built-in Security at All Stages

Cloud data protection should be integrated at all stages—from design to deployment. 

This includes implementing robust authentication and authorization rules, using built-in security policies from the cloud provider, enabling encryption of all data before transfer, and regularly auditing access.

For example, when designing a cloud application, incorporate security practices from the start. 

In AWS, you can use Identity and Access Management (IAM) to enforce authentication and authorization, and Amazon S3 bucket policies to control access to your data. This built-in security approach ensures that security is an integral part of your system.

4. Seek Data Protection Consultancy

Data protection consultancy involves seeking professional guidance to ensure the security and compliance of your data. It includes assessing current practices, identifying risks, implementing measures, and maintaining data protection policies. The goal is to meet legal requirements, enhance data security, and reduce the risk of breaches.

This is something the ISMS Connect team can help you with, too.

We can perform vulnerability assessments on your current ISMS to help you identify any weak areas and suggest measures for improvement. We can also help you develop a plan to ensure your data remains secure, compliant with industry standards, and protected from unauthorized access.