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Data is essential to federal agencies for weather forecasting intelligence gathering and analysis, energy research, and much more. They must manage, analyze, and make meaning of massive amounts data while making sure it is in the right hands. Many agencies are turning towards cloud computing to protect their sensitive data. Cloud technologies provide a secure, high-performance way to manage large-scale data analytics and data sciences without the worry that data security will be compromised.

But, just putting data in the cloud isn’t enough. Data is constantly being hacked by criminals both inside and outside of organizations. To safeguard data federal agencies must use a comprehensive security ecosystem which includes the right technology platforms and tools to ensure that data is secure while in transit, at rest, and in the cloud.

A defense-in-depth design with strict access control at every layer of the data stack is vital to safe and secured data management. This prevents thieves stealing valuable information, and stops data from getting deleted or hacked even if the server goes down.

Another key best practice is to implement data segregation that separates sensitive data from sensitive data. This helps to prevent data breaches and enables organizations to adhere to regulations including GDPR.

To ensure that data is as secure as possible, organizations are encouraged to employ encryption to conceal the contents of https://softwarewind.pro/2020/05/18/get-office-management-software-by-data-room databases and files. Encryption works by transforming normal text into code that is not readable, so only authorized users can read it. Many encryption solutions also provide security key management options, which enable companies to keep track of keys.