Data is crucial to federal agencies for forecasting of weather intelligence gathering and analysis, energy research and many more. These agencies must store and analyze and make sense from massive amounts of data while ensuring that it remains in the right hands. To protect their sensitive data, many agencies are turning to cloud-based technologies, which offer a secure way to manage large-scale, high-performance data science and analytics without the risk of compromising data.

However, simply putting data in the cloud isn’t enough. Data is constantly being attacked from malicious actors both within and outside organizations. To safeguard data federal agencies must 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.

The key to safe and secure data management is a defense in depth architecture with strict access controls at every level of the data stack. This helps protect against thieves who steal valuable information, and stops data from getting lost or stolen even if the server goes down.

Another important best practice is implementing data separation that separates data with low-sensitivity from highly sensitive data. This helps to stop data breaches and helps organizations comply with regulations like GDPR.

In order to ensure that data is as secure as it can be, it’s recommended that organizations use encryption to conceal the contents of files and databases. Encryption transforms normal text to an unreadable code that only authorized users are able to understand. Many solutions also offer security key management capabilities that help organizations keep track of the keys.