Cloud security

Cloud data protection best practices every business should know


Cloud Data Protection Best Practices & Challenges

Moving your company's data to the cloud is a smart move for efficiency and scale, but it also brings new risks. When your sensitive information is managed by a cloud service provider, you can't just assume it's secure. You need a clear strategy. This guide covers the essential cloud data protection best practices to help you keep your business assets safe from threats you can't always see.

We'll go beyond the basics to provide IT professionals and business leaders with a practical, no-nonsense guide. We will explore the shared responsibilities, technical safeguards, and strategic planning needed to build a resilient framework that protects your assets without hindering operational flexibility.

Key takeaways

  • Shared responsibility: A company's overall cloud security depends on a clear division of responsibilities between the organization and the cloud service provider. Both parties must fulfill their roles to ensure data security.
  • Due diligence: Before committing to a provider, research their data protection tools, compliance certifications, and track record.
  • Security gaps: Actively identify and secure potential gaps between different cloud environments, particularly in multi-cloud setups. Don't rely solely on the provider. Implement additional measures like Cloud VPNs.
  • Data encryption: Encrypting all data—at rest and in transit—is a fundamental practice for preventing breaches.
  • Strict access control: Enforce a strict access policy to ensure only authorized users can access sensitive data.
  • Endpoint security: Secure end-user devices, as they can serve as entry points for attackers.
  • Incident response: Have a clear exit and incident response strategy in place with your provider to react quickly and effectively to a data breach.

What is cloud data protection?

Cloud data protection is a collective term for policies, technologies, and applications to secure cloud-based data. Its best practices should cover all stages of data moving in and out of a cloud environment, including long-term archiving and in-transit when uploaded from the user's device.

Organizations use the cloud in various deployment and service models, and cloud data protection helps set the proper controls to ensure data security. This framework is independent of who owns or supervises the network. The main goal is to provide cloud security and safeguard any weaknesses in cloud infrastructure, such as:

  • Deterrent: Policies intended to ward off potential attackers. While most hackers ignore them anyway, it does help to repel those who are less experienced or are looking for easily exploitable networks.
  • Preventative: Policies and applications directly contribute to the system's resilience against unauthorized access. Firewalls, endpoint protection, and two-factor authentication help minimize the attack surface a hacker could use to its advantage.
  • Detective: Controls intended to detect and monitor ongoing or past incidents. Usually, preventative and detective controls work in tandem, i.e., suspicious behavior automatically triggers a system-wide lockdown to prevent data loss.
  • Corrective: Various methods limit the damage after the incident has already happened. They could range from written post-mortem detailing the attack to regular data backup plans.

Why is it essential to protect data in the cloud?

Nowadays, it's common for a company to store sensitive data or corporate data in public, private, and hybrid clouds. While this arrangement frees the company's internal IT department from maintenance and the need to set up a physical server, it also exposes a company to numerous security challenges:

  • Cloud providers and companies usually share responsibilities to ensure data security. So, while a cloud provider provides some of its data protection in the cloud, the client may not always have a full view of its infrastructure. Cloud data protection helps address these visibility issues.
  • The shared responsibility model doesn't always mean that both parties clearly understand their responsibilities.
  • Organizations might not even know where their data is stored. The cloud provider can move it across the infrastructure without the organization's knowledge. Sometimes, multiple clients can use the same server.
  • Public clouds have a much larger volume of incoming and outgoing traffic, making it harder to pinpoint suspicious connections.
  • If an organization relies on multiple cloud providers, the security may be inconsistent, which hackers could exploit. Enhanced data security measures are essential to protect data in such scenarios.
  • Some data may be subject to regulatory compliance, requiring appropriate security measures for its protection.

Cloud data protection: best practices

You can do a lot to improve cloud-hosted data security. Here are the best industry practices for mitigating cloud data protection risks.

Have a clear division of responsibilities

The data center isn't responsible for server security. It just provides a framework on which to build. Usually, it only includes hardware and software for its management. The configurations, however, typically fall on the client.

Your overall security status will depend on both parties sharing the responsibility of ensuring data security in the cloud. It will only work if both parties have clear responsibilities and each carries out its share.

Do your research

Before shaking hands with a provider, you should look into what tools it offers for remote data and access management. If compliance regulations apply to your industry, ensure your cloud provider has the proper certificates. If you're using an uncertified provider, you may not meet the compliance standards.

Remember to find out everything else about your provider—look for any previous data breach reports and see if your provider's name pops up. The more you know beforehand, the easier it will be to decide.

Secure gaps between systems

The more cloud environments you rely on, the more gaps in your infrastructure that malicious individuals could exploit. It's the organization's responsibility to identify these and implement potential solutions.

It's not enough to trust that the cloud provider vendor will take care of everything and that there's no need to do anything else. Implementing additional measures, like Cloud VPN services, will help you control the hosted data and ensure its security status.

Encrypt everything

Data encryption should be a standard practice for all cloud resources. It's one way of preventing data breaches. It ensures that if someone gains access to the server, they can't read its contents without the private key, enhancing cloud security.

Encrypting files before transfer to cloud storage is also a good practice. In addition, you can fragment your data into shards and store them across multiple clouds. Even if a hacker could access a small amount of data, it would remain useless.

Strict access permissions

Ensure only the users who need to access the data can access it. Enforce strong credential policies and add additional IP allowlists to allow only specific IP ranges to connect to your network.

Audit your permissions and set your credential lifecycle terms. Avoid password reuse and keep your passwords constantly refreshed to prevent other database dumps from affecting your database's security.

Secure end-user devices

User-controlled endpoints are the most susceptible part of your network infrastructure. Private gadgets used at work or as a part of the bring your own device (BYOD) policy can be a severe threat. They can function as an attack vector to gain entry into your cloud environment.

To prevent this, you should monitor active traffic, restrict traffic on your network perimeter, and restrict what data can exit or enter your systems.

Have an exit strategy

With your cloud-hosting vendor, devising an incident response plan outlining the actions taken after the data breach would help. A written plan will help you react quickly and recover from the shock.

Dedicate some sections to when a data breach occurs to give you additional insights into what should happen when the detection software finds an unauthorized agent on your internal network.

Main cloud data protection benefits

Adopting the right cloud data security measures ensures your company's data privacy and improves network security. Here are the key benefits of cloud data security

Active security risk mitigation. Keeping data outside the company allows one to have a complete overview of what data is going in and out of the server—via active monitoring.

Govern data access. Partition cloud servers can allow specific users into specific servers with varying levels of access rights. Allow better control of who can access what files and which files were downloaded by whom.

Data and security policies. Implementing cloud network protection usually involves an action plan detailing many internal practices. This can often be a good starting point for developing fully-fledged data and security policies to prepare an organization better to withstand any cyber threats that it could experience in the future.

Preventing data loss. Cloud data protection connects to broader data loss prevention. It should have other benefits related to minimizing risks of accidental employee leaks, which could further complicate data access segmentation.

Challenges of cloud data protection

Securing data within cloud environments is fraught with complexities. Here are some key challenges:

  • Visibility limitations: Multi-cloud setups reduce visibility and control over corporate data. Due to shared responsibility models in cloud environments, tracking the location and status of the company's data is challenging.
  • Complex data interactions: Data distribution across various applications and environments complicates the enforcement of strict access controls.
  • Data encryption constraints: While encryption is crucial for protecting sensitive data at rest, it's not always possible in cloud settings, which can leave data vulnerable. Also, encryption of data in transit makes it hard to detect potential leaks.
  • Configuration management issues: The complexity of ensuring all configurations are correctly set up can lead to data exposure, especially if sensitive data ends up in publicly accessible areas.
  • Need for cloud-focused security solutions: Traditional security solutions fall short in cloud environments. This calls for tailored security strategies and tools essential for robust cloud data protection.

Protect your cloud data with NordLayer

Achieve cloud data security by implementing the Zero Trust security model and transitioning to the SASE (Secure Access Service Edge) framework, which uses a cloud framework to deliver network security solutions.

NordLayer provides a flexible network security solution that easily integrates into your current infrastructure. It boosts data and cloud security while facilitating remote work.

Contact our team to discover an easy way to increase the security of your cloud data, no matter where it's stored.

Frequently asked questions

What is the difference between cloud data security and cloud data protection?

Cloud data security is a broad term for all measures used to protect data within cloud systems. It's the overall strategy. Cloud data protection is a more specific subset that focuses on the practical steps and technologies used to prevent data loss or corruption, such as encryption and data backups. One is the plan, and the other is the action.

Why do businesses need both cloud security and cloud data protection?

Businesses need both for a comprehensive defense. Cloud security protects the entire cloud infrastructure from external threats and unauthorized access, essentially securing the container. Cloud data protection focuses on safeguarding the data itself, ensuring its integrity and availability, even if the container is breached. You need both to secure the system and the data within it.

What are common mistakes companies make in cloud data protection?

A common mistake is a misunderstanding of the shared responsibility model, leading companies to assume the provider handles everything. Other errors include poor access management (like not using multi-factor authentication), neglecting to encrypt data, and failing to have a unified security strategy across multiple cloud service providers, which can lead to exploitable gaps.


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