How to Protect Data at Rest
Key Takeaways
⇨ Data at rest is a serious area of cybersecurity concern.
⇨ Data at rest contains valuable types of information like vendor and employee information as well as product data.
⇨ There are three categories of solutions for security data at rest: awareness and policy, data categorization, and automation.
Companies often prioritize data they are actively using within their cybersecurity planning and infrastructure. However, it is important that they do not overlook data at rest. Examples of data at rest include archives, online backups, client copies for quality assurance and development environments, and disaster recovery sites.
Though it may not be top of mind, stores of data at rest contains significant amounts of important information on vendors, customers, employees, and products. If penetrated, malicious actors can access bank account information, identities, corporate intellectual property, processes, and trade secrets.
In this article, you will learn about the three categories of tools and techniques that can protect this data: awareness and policy, data categorization, and automation. It will also show you how a methodical approach to security can envelop data at rest into a holistic security model.
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