Data is vital to federal agencies for forecasting the weather, intelligence gathering and analysis, energy research, and much more. They need to store, analyze and make sense of huge amounts of information while ensuring that it is in the hands of the right people. To safeguard their data’s sensitive information, many agencies are turning to cloud-based technologies, which offer a secure method to manage large-scale high-performance data science and data analytics without the risk of compromising data.
But merely putting data into the cloud isn’t enough. Data is constantly under attack by bad actors, both inside and outside organizations. To ensure the security of data federal agencies must make use of a comprehensive security system which includes the right technology platforms and tools to ensure that data is protected during transit, in rest and in the cloud.
The key to secure and secure data management is to have a defense in depth design with strict access controls at every level of the data stack. This prevents thieves stealing valuable information, and stops data from getting deleted or compromised even if a server goes down.
Another best practice is data https://softwarewind.pro/2021/02/26/recent-trends-in-antivirus-software-development-for-2021/ separation. This allows sensitive data from data with a high sensitivity. This helps prevent data breaches and allows organizations to comply with regulations such as GDPR.
In order to ensure that data is as safe as it can be it is recommended that businesses use encryption to obscure the contents of databases and files. Encryption transforms normal text into unreadable code which means only authorized users can read it. Many encryption solutions also provide security key management features, which help organizations keep track of keys.