Federal agencies depend on data for a variety of purposes including https://softwarewind.pro/2021/04/08/office-management-software-to-simplify-your-work/ weather forecasting, intelligence analysis and energy research. These agencies must store, analyze and make sense of huge amounts of data while ensuring that it stays in the hands of the right people. To protect their sensitive data, a lot of agencies are turning to cloud computing which offer a safe method of managing large-scale high-performance data analytics and data science without risk of compromising data.

But simply putting data into the cloud isn’t sufficient. Data is constantly under attack from bad actors, both within and outside of organizations. To protect data, federal agencies must employ a full range of security tools and platforms that have the right technology platforms to ensure the security of data while it is in transit, at rest and in the cloud.

A defense-indepth structure that is strict in its access control at each layer of the data stack is vital to secure and safe data management. This helps prevent thieves from stealing valuable information and stops data from being compromised or deleted even if a server goes down.

Another good practice is to implement data separation that separates data with low-sensitivity from sensitive data. This can help prevent data breaches and allows companies to comply with regulations such as GDPR.

To ensure data is as secure as possible, organizations are encouraged to employ encryption to hide the contents of databases and files. Encryption transforms normal text to an unreadable code that only authorized users are able to decipher. Many security solutions also include key management capabilities, which allow organizations to keep track of keys.