There are a lot of discussions these days around DevSecOps—the marriage of development, security, and operations to improve the speed and quality of software. And it's no wonder why.

DevSecOps has drastically changed the way organizations develop and deploy software. The speed and agility that it brings to the table is something that security teams have been striving for years.

But what about DataOps? DevSecOps is all well and good, but if your data isn't safe, you're in trouble.

That's why it's important to have best practices for DataOps security in place. In this article, we'll discuss some of those best practices and how you can implement them in your own organization. This way, you can be sure that your data is secure and that your DevOps team is able to work at the speed they need to.

So, what are some of the best practices for DataOps security? Let's take a look.

 

Best Practices for DataOps Security

Implementing role-based access control to restrict access to sensitive data

DataOps teams need to have access to sensitive data in order to do their job, but that doesn't mean that everyone on the team needs access to all of the data. That's where role-based access control comes in.

With role-based access control, you can restrict what data each person on your team can see and access. This helps to ensure that only the people who need to see the data have access to it. And if someone does try to access data that they shouldn't have access to, you'll be able to quickly spot it and take action.

 

Use of DevOps tools for security

One of the benefits of using DevOps tools for security is that it enables organizations to move faster and become more agile. Security can often be seen as a roadblock to agility, but by using DevOps tools, organizations can speed up the process of getting new features and functionality into production while still maintaining a high level of security.

Another benefit of using DevOps tools for security is that it helps to ensure that security is built into the application from the beginning. This can help to reduce the number of vulnerabilities that exist in the application and minimize the risk of a security breach.

Finally, using DevOps tools for security can help to improve collaboration between IT and security teams. By working together early in the development process, the two teams can better understand each other's needs and work together more effectively to secure the application.

 

Monitoring and auditing data access and activity

Another important aspect of DataOps security is monitoring and auditing data access and activity. This helps to ensure that only authorized individuals have access to your data and that they are only accessing it for the purposes that you have approved.

Monitoring and auditing data access and activity can also help you detect unauthorized access or activity. If you suspect that someone has accessed your data without your permission, you can use the logs to track down who did it and take appropriate action.

 

Encrypting data at rest and in transit

Data encryption is one of the most important aspects of DataOps security. Encryption helps to protect your data from being accessed by unauthorized individuals. It also makes it more difficult for attackers to steal your data if they do manage to get access to it.

When encrypting data, you should always encrypt both data at rest and data in transit. Data at rest is data that is stored on your servers or in your databases. Data in transit is data that is being transmitted between your servers and your users' devices.

Encrypting both data at rest and data in transit helps to ensure that your data is as secure as possible.

 

Automating your security

DataOps security is all about reducing the risk of data breaches and other security incidents. Automating your security can help to achieve this by streamlining your security processes and making it easier to identify and fix vulnerabilities. Automating your security also helps to ensure that all aspects of your security are properly managed and updated regularly.

There are a number of different ways that you can automate your security. One popular option is to use DevOps platforms like Shipyard. This is a cloud-based platform that allows you to create automated data pipelines at record speed. It has a drag-and-drop visual user interface that lets business users easily use the platform's automation features and optimize processes for various use cases.

Aside from Shipyard, there’s also DataKitchen, StreamSets, and Rivery. No matter which platform you utilize, automated security is a great way to improve the security of your DataOps processes.

Having a plan for when things go wrong

When it comes to data security, having a backup plan when things go wrong is one of the best practices. If something happens and you don't have a plan in place, you'll be scrambling to try and figure out what to do. This can lead to data being compromised or lost altogether.

But if you have a backup plan and a way to recover your data, you'll be much better off. Having a plan in place will help you to quickly and easily get your data back if something does happen.

 

Educating your team

Your team needs to understand the importance of data security and how to protect sensitive information. They should also be aware of the risks associated with working with data, such as malware, ransomware, and phishing attacks.

Education is the key to preventing data breaches and protecting your organization’s data. The more your team knows about DataOps security, the better they can protect your organization’s data.

 

Conclusion

DataOps security is a critical part of protecting your organization's data. By following the best practices listed above, you can help to keep your organization's data safe and secure.