Better defense with 4-3-2-1

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Today's organizations are larger than ever, generating massive amounts of data every day. Recovering from data loss can be a lengthy process, taking days and reducing productivity. Organizations need other backup options that allow them to quickly and comprehensively recover data while protecting against ransomware and other modern threats.

Those looking to improve on the traditional 3-2-1 strategy turn to a more robust 4-3-2-1 backup plan, which involves storing data in the cloud and creating an immutable copy of the data. With this plan:

— You have four copies of data: current production data plus three backup copies.

— You store these copies of the data in three different places; one of them should be in the cloud, and the other two can be any combination of local or offline locations.

— You use two types of storage (local and offline).

- You have one immutable copy of the data that bahamas mobile database be changed in any way by any user of the system.

An important addition to the 4-3-2-1 backup strategy is the mandatory storage of data in the cloud. In the event of a ransomware attack, if the production site is severely compromised, data replicated in the cloud can be restored to mitigate damage.

Another valuable element of the 4-3-2-1 is having a completely immutable copy. Even if the cloud has been compromised by ransomware, it is vital to have an immutable copy locked away. Ransomware can infect entire infrastructure systems; if you have a copy of your data that cannot be modified by any potential bad actor in the system, full recovery is still possible.

Today's cyber threats require serious protection to keep a company's data safe. Organizations are moving beyond traditional backup strategies and strengthening data protection by making more copies of data and distributing them across different storage locations. Accordingly, companies should look for multiple data storage options and the flexibility to easily create as many copies as they want, stored anywhere, regardless of the number of workloads.