6 Best Practices For Big Data Security In Cloud Computing

Best Practices For Cloud Computing

Data security is a subset of information security. As cloud computing becomes more prevalent in today’s world, there are a number of potential threats to the data you store.  Users’ main concerns with cloud technology relate to data security and privacy protection. In cloud architecture, data security and privacy protection issues pertain to both hardware and software. To understand more and create a best career you can enroll in any CCSP Certification.

Organizations can suffer financial losses as well as reputational damage due to insufficient data security. Look at the best practices for reducing the risk of analyzing massive amounts of data to reduce the data security risks.

1. Protect Authentication Gateways

Data breaches are often caused by weak authentication mechanisms. A hacker can potentially gain access to sensitive data by exploiting the vulnerabilities in the user authentication function. Designing the authentication process in a way that prevents flawed implementation is crucial. Ensure that no unauthorized users can exploit broken authentication tokens.

2. Implement encryption

By sending data back and forth between your network and a cloud service, you increase the risk of your data being stolen. Implement the highest levels of encryption when using cloud services to ensure your data remains secure.

 3. Access must be controlled by the user

You can control user access to your network and the cloud more effectively by establishing policies and guidelines. Organizations should begin with zero trust, giving users only the access they need to systems and data. To grant access to specific resources, organizations should create well-defined groups with assigned roles. In order for organizations to gain access to specific resources, they need to form groups with well-defined roles.

4. Work with a trusted cloud hosting provider

Companies need to partner with trusted cloud providers that adhere to industry standards and offer the best in-built security protocols. It is evident that a cloud provider is a trusted provider if they hold a variety of security certifications and compliances – something they are always willing to make public.

5. Describe cloud usage policies

Cloud accounts are used without adhering to established guidelines, despite the fact that businesses have developed a policy for securely using the cloud. Because of that, it’s paramount that organizations monitor employees’ usage patterns and activity. By doing so, organizations can prevent any suspicious cloud activities, protecting sensitive data and applications.

6. Practice sound password

The purpose of good password hygiene is to prevent unauthorized access and implement a strong password security policy. A strong password security policy should require one uppercase letter, one lowercase letter, one symbol, and at least 14 characters. For maximum protection, organizations should also enforce password updates every 90 days.

Why you should maintain cloud security?

Cloud computing growth has prompted organizations to address security, governance, and compliance issues as they move more data and workloads to the cloud.

Best Practices For Big Data Security

The top reasons why cloud data security is a critical aspect of cloud computing are outlined below. Many IT professionals are concerned that their sensitive data will be exposed by accidental leaks or sophisticated cyber attacks.

Sensitive data are preserved safely in the cloud setup, yet you must track who has the access and where your data is going. Monitor the permission on folders and files located on your cloud-premise, along with aspects like user location, user roles, and device type.

More than 70 percent of organizations utilizing the public cloud have had a security incident in the past year. Cloud security is therefore of greater importance than ever before. Cloud security is the culmination of innovative technologies, processes, controls, and policies to maintain a defense against increasing cyber threats.

Gain visibility

Organizations typically access cloud services from multiple locations, departments, and devices, so you tend to lose visibility into your cloud infrastructure as a result of this kind of complexity.

You cannot tell who is actually using your cloud services and what type of information they are accessing without the appropriate tools and processes in place. This lack of visibility increases the risk of a data breach.

A cloud data security program can, however, give organizations access to cloud data and better identify risks.

Avoid compliance violations with cloud data security.

By moving workloads and applications to the cloud, you can introduce compliance violations.

Your organization is needed by many limitations to understand where its data is stored. They need to know who has access to it, how it’s going t be processed, and how the data is protected.

Additionally, some regulations require that your cloud provider holds compliance credentials. If your organization fails to take the appropriate steps to transfer data to the cloud or choose a cloud services provider, compliance violations can occur.

Maintain business continuity

By protecting your business from threats like denial-of-service attacks (DDoS attacks), a comprehensive cloud data security plan helps maintain business continuity.

An attack on your business can impact your bottom line if unexpected outages or system downtime impact your business operations. Beware of attacks that are done through various cloud services and target availability, service level agreements, and performance.


Your enterprise IT department and data scientists are likely to run those predictive analytics algorithms, create data visualizations, and employ the rest of the data analysis techniques they’ve accumulated on your Big Data. However, you need to ensure there are no loopholes in your implementation.

Stay abreast of the latest cloud provider security updates so you can update your policies accordingly. As cloud services change, so do the challenges and threats you face by using them.

The threat intelligence and machine learning models of security providers will also have to be adjusted as threats continue to evolve. Several key technologies can be used to achieve each phase, sometimes in conjunction with cloud-based security features.

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