Data is essential to federal agencies for forecasting of weather, intelligence gathering and analysis, energy research and many more. These agencies require storage and analyze the meaning of huge amounts of data and ensure that it stays 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 science without the worry that data is compromised.
But simply putting data into the cloud isn't sufficient. Data is constantly being attacked by malicious actors, both inside and outside organizations. To protect data, federal agencies need to utilize a complete security ecosystem that includes the right technology platforms and tools to ensure that data is secured while in transit, at rest and in the cloud.
A defense-in-depth design with strict access control at all levels of the data stack is essential to safe and secured data management. This stops thieves from stealing https://softwarewind.pro/2020/04/28/modern-software-development-for-board-room valuable information, and stops data from getting lost or stolen even if a server is down.
Another key best method is to implement data separation that is able to separate low-sensitivity data from sensitive data. This helps avoid data breaches, and permits organizations to be in compliance with regulations like GDPR.
To ensure that data is as secure as possible, organizations are encouraged to use encryption to conceal the contents of their databases and files. The encryption process transforms normal text into an unreadable code that only authorized users can decipher. Many security solutions provide key management capabilities that allow organizations to keep track of and manage keys.