Data is crucial to federal agencies for forecasting of weather as well as intelligence gathering and analysis, energy research and many more. These agencies require storage and analyze, as well as make sense of massive amounts of information while ensuring that it remains in the hands of the right people. Many agencies are turning to cloud computing to protect their sensitive data. Cloud technologies provide the security, speed and efficiency to manage large-scale data analytics and data sciences without the fear that data will be compromised.
But merely putting data into the cloud isn’t enough. Data is constantly under attack by bad actors, both inside and outside organizations. To safeguard the data of federal agencies, they must utilize a wide range of security tools and platforms that incorporate the most appropriate technology platforms to ensure the security of data while it is in transit, at rest and in the cloud.
A defense-indepth structure that is strict in its access control at every level of the data stack is key to secure and safe data management. This helps prevent thieves from stealing important data and stops data being lost or stolen even if the server is down.
Another good practice is to implement data separation that separates sensitive data from highly sensitive data. This helps stop data breaches and permits organizations to be in compliance with regulations like GDPR.
To ensure that data is as secure as is possible it is recommended that businesses use encryption to obscure the data in databases and files. Encryption transforms normal text to an unreadable code that only authorized users can understand. Many solutions offer security key management capabilities, which allows organizations to track and manage keys.
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