Federal agencies rely on data for a variety of reasons for example, weather forecasting intelligence analysis, energy research and more. These agencies must store, analyze and create meaning of massive amounts data while making sure it is in the right hands. Many agencies are turning to cloud-based technologies to safeguard their sensitive data. These technologies offer an efficient, secure and high-performance method to manage massive-scale data analytics and data sciences without the worry that data will be compromised.
However, just putting data in the cloud isn’t enough. Data is constantly attacked by bad actors both inside and outside organizations. To protect the data of federal agencies, they must make use of a broad range of security tools and platforms that have the appropriate technology platforms to ensure data is protected during transit, at rest and in the cloud.
The key to secure and secure data management is to have a defense in depth structure, with strict access controls at every level of the data stack. This stops thieves from stealing important information and prevents data from being lost or compromised even if a server goes down.
Another best practice is implementing data separation that separates data with low-sensitivity from sensitive data. This helps stop data breaches and also allows companies to comply with laws such as GDPR.
To keep data as safe as possible, organizations are encouraged to employ encryption to conceal the contents of files and databases. The encryption process transforms normal text into a code that is unreadable which means only authorized users can read it. Many security solutions provide key management functions, which allows organizations to keep track and manage the keys.
