Federal agencies rely on data for a variety of purposes for example, weather forecasting intelligence analysis as well as energy research. They must manage, analyze, and make sense of huge amounts of data while making sure it is in the hands of the right people. Many agencies are turning to cloud technologies to protect their sensitive data. Cloud technologies provide the security, speed and efficiency to manage massive-scale data analytics and data science without the concern that data is compromised.
However, just placing data in the cloud isn’t enough. Data is constantly being attacked https://softwarewind.pro/2020/05/18/get-office-management-software-by-data-room by bad actors both inside and outside of organizations. To ensure the security of data, federal agencies need to utilize a complete security ecosystem that includes the right technology platforms and tools to ensure that data security is maintained during transit, in rest, and in the cloud.
The key to secure and secure data management is a defense in depth architecture, with strict access controls at every level of the data stack. This prevents thieves from stealing important information and prevents data from being compromised or deleted even if a server goes down.
Another key best practice is implementing data separation that separates sensitive data from sensitive data. This helps avoid data breaches, and helps organizations comply with regulations, such as GDPR.
To keep data as safe as possible, organizations are advised to use encryption to hide the contents of files and databases. The encryption process transforms normal text into an unreadable code that only authorized users are able to understand. Many solutions also come with security key management features, which enable organizations to keep track of keys.