What is immutable data?
As the name suggests, immutable data is information that cannot be deleted or changed. This type of data cannot be stored in traditional databases: it must be entered into special databases that do not overwrite the new information on the old but maintain a history of all data, creating a new dedicated folder each time it is entered.
Cloud backup: the most secure immutable backup
It is good to remember that data stored in immutable backups, even if they are better guarded, are still not invulnerable to ransomware, which is why it is certainly useful to set and keep several restore points (annual, monthly, weekly, daily) and a physical and geographical separation between backups. This practice is also known as the “3-2-1 rule,” or “rule “.
It should be considered that a backup copy is better protected if it is disconnected from the network, which, however, makes it dormant and isolated. Recovering it and bringing it back online sometimes takes a lot of time, and in disaster recovery, time is precisely the most valuable element.
So how to protect the data while keeping its eventual recovery as performant as possible? The best expedient is to turn to cloud enterprise backup, a type of online backup that offers important advantages, such as:
- lower cost than local
- Near-instantaneous access to data
- higher level of protection
Combining a cloud storage service with an immutable backup is therefore the most effective solution for one’s disaster recovery plan to date. In order to do so, there are several tools on the market among which tools such as Wasabi and Veeam Backup & Replication stand out for efficiency.
In addition to providing a cloud backup extension, these software enable continuous security monitoring and avoidance of encryption by cryptographic ransomware, increasing security exponentially.
Finally, since Microsoft guarantees data access but is not responsible for the data, it is important to engage a provider who can back up data stored through Microsoft 365, eliminating the risk of data loss.