5 steps to enable DataSecOps in your organization

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Cybersecurity is now a concern for all areas of the organization. Discover how to enable DataSecOps to secure data quickly and effectively.
We said in the introduction to the topic that DataSecOps is a combination of concepts linked to data-driven operations and data security, which is an essential factor in cyber resilience. From another perspective, DataSecOps is an agile, holistic and integrated approach to coordinate the management of constantly changing data, with the aim of adding value to the business by keeping it safe.


In Satori’s latest report, 85% of respondents say that breach or exposure of sensitive customer data is their top data security concern. 61% still use manual processes and tools to request data access, which is skype database and error-prone; nearly the same number of respondents say that meeting security and compliance requirements was slowing down their data projects.


Let's take a look at a typical DataSecOps architecture:



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Source: Cuelogic



As we can see, there is a whole set of components that help configure an environment that works securely with the data involved in daily operations.




Why DataSecOps refers to agility?

Today, data-related processes (changes affecting data or data accessibility) are much more frequent and important than before, and many users must use data in a variety of ways and from different locations using different devices.



What is Cyber ​​Resilience and how to achieve it?
Why adopt a holistic perspective?

As data democratization processes open the doors for more users to make use of their data, this translates into the diversification of areas involved in a data governance program . If the only DataSecOps-minded team in an organization is the data engineering team, the security team, or even both, this approach will not be sufficient.


What does it mean to have an embedded security approach?

This is because security is intertwined with all data projects and operations. Security should not just come into play through a security check at the end of a data project or in an annual audit; it should be a top priority and built into projects from design through inception, and continuing even after completion through ongoing monitoring.