Safe and Secure Data Management for Federal Agencies

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Data is essential to federal agencies for forecasting the weather as well as intelligence gathering and analysis, energy research and much more. These agencies must store, analyze and create meaning of massive amounts data, while also ensuring that it stays in the hands of the right people. Many agencies are turning to cloud-based technologies to safeguard their sensitive data. These technologies offer a secure, high-performance way to manage large-scale data analytics and data science without the concern that data security will be compromised.

However, simply putting data in the cloud isn’t enough. Data is constantly being attacked by bad actors, both inside and outside organizations. To safeguard data, federal agencies need to employ a full range of security tools and platforms, which include the most appropriate technology platforms to ensure the security of data while it is in transit as well as in the cloud.

A defense-in-depth architecture with strict access control at each layer of the data stack is key to safe and secured data management. This prevents thieves from stealing important data and also stops data from being compromised or deleted even when a server is down.

Another good practice is implementing data separation, which separates low-sensitivity data from highly sensitive data. This helps to prevent data breaches and helps organizations to comply with the regulations, including GDPR.

In order to keep data as secure as it can be, it’s recommended that organizations use encryption to conceal the contents of databases and files. The encryption process transforms normal text into code that is not readable that only authorized users are able to read it. Many solutions also come with security key management capabilities, which allow organizations to keep track of the keys.

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