Federal agencies depend on data for a variety of reasons such as weather forecasting, intelligence analysis and energy research, among others. These agencies need to organize, analyze and interpret the meaning of massive amounts information while ensuring that it is in the hands of the right people. To protect their data’s sensitive information, many agencies are turning to cloud technology which offer a safe method of managing 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 organizations. To protect data federal agencies must implement a robust security framework which includes the right technology platforms and tools to ensure that data is secured in transit, at rest and in the cloud.
A defense-in-depth architecture with strict access control at every level of the data stack is essential to secure and safe data management. This stops thieves from stealing valuable data and stops data being deleted or compromised, even if the server goes down.
Another best practice is to implement data segregation that separates data with low-sensitivity from highly sensitive data. This helps prevent data breaches and helps organizations to be compliant with regulations, including GDPR.
To keep data as safe as they can, companies are advised to use encryption to conceal the contents of their databases and files. The encryption process transforms normal text into a code that is unreadable, so only authorized users can read it. Many solutions offer security key management features, which allows organizations to keep track and control keys.
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