Federal agencies depend on data to fulfill a variety of functions such as weather forecasting, intelligence analysis as well as energy research. These agencies need to manage, analyze, and make meaning of massive amounts data, while also ensuring that it stays in the right hands. Many agencies are turning to cloud technology to safeguard their sensitive data. Cloud technologies provide security and performance that is high-quality, as well as a way to manage massive-scale data analytics and data science without the risk that data security will be compromised.
However, just putting data in the cloud isn’t enough. Data is constantly being targeted by criminals both inside and outside organizations. To safeguard data, federal agencies need to make use of a broad range of security tools and platforms that include the proper technology platforms to make sure that data is protected during transit as well as in the cloud.
A defense-in-depth design with strict access control at every layer of the data stack is essential to secure and safe data management. This stops thieves from stealing valuable information, and stops data from getting deleted or compromised even if the server is down.
A second important best practice is data separation. This is the process of separating data with low sensitivity from data with a high sensitivity. This can protect against data breaches and also allows companies to comply with laws such as GDPR.
To ensure data is as secure as is possible, companies are encouraged to employ encryption to hide the contents of files and databases. Encryption transforms normal text into an unreadable code that only authorized users are able to read. Many solutions also offer security key management capabilities that allow organizations to keep track of keys.
Leave a Reply