Data is essential to federal agencies for forecasting weather conditions as well as intelligence gathering and analysis, energy research, and much more. These agencies need to store and analyze the meaning from massive amounts of data while ensuring that it stays in the hands of the right people. To protect the sensitive data they store, many agencies are turning to cloud technologies that provide a secure method to manage large-scale high-performance data analytics and data science without risking the loss of data.
However, just placing data in the cloud isn’t enough. Data is constantly under attack by bad actors, both inside and outside organizations. To keep data safe, federal agencies need to utilize a complete security ecosystem that incorporates the appropriate technology platforms and tools to ensure that data is secured while in transit, at rest, and in the cloud.
The key to safe and secure data management is to have a defense in depth design with strict access control at every level of the data stack. This helps prevent thieves from stealing important information and prevents data from being compromised or deleted even in the event of a server failure.
Another key best practice is data separation. This allows data with low sensitivity from data with high sensitivity. This can protect against data breaches and allows organizations to comply with regulations like GDPR.
To ensure that data is as secure as they can, businesses are advised to use encryption to hide the contents of files and databases. Encryption transforms normal text into code that is not readable, so only authorized users are able to read it. Many security solutions provide key management capabilities that allow organizations to keep track of and manage keys.
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