Federal agencies rely on data for a variety of reasons such as weather forecasting, intelligence analysis, energy research and more. These agencies require storage and analyze the meaning from massive amounts of data while ensuring that it remains in the right hands. To safeguard their sensitive data, many agencies are turning to cloud computing that provide a secure method to manage large-scale high-performance data science and data analytics without risking the loss of data.

But merely putting data into the cloud isn’t enough. Data is constantly being attacked by malicious actors, both inside and outside of organizations. To safeguard data, federal agencies must utilize a wide range of security tools and platforms that include the proper technology platforms to make sure that data is protected during transit at rest, as well as in the cloud.

The key to safe and secure data management is a defense in depth architecture with strict access control at every layer of the data stack. This helps protect against thieves who steal valuable data and stops data being deleted or hacked, even if the server goes down.

Another best practice is data separation. This is the process of separating sensitive data from data with high sensitivity. This prevents data breaches and helps organizations to comply with regulations such as GDPR.

To ensure that data is as secure as they can, companies are encouraged to https://softwarewind.pro/2020/05/18/get-office-management-software-by-data-room use encryption to hide the contents of files and databases. The encryption process transforms normal text into code that is not readable which means only authorized users can read it. Many security solutions provide key management capabilities, which allows organizations to keep track of and manage the keys.