FEATURE : DISASTER RECOVERY AND BUSINESS CONTINUITY
Another strategy is to tier cold data from expensive storage and backups into a resilient destination such as object-locked storage in the cloud .
The AI tool can scan the content of files for sensitive data ( such as customer contact information or credit cards ) and then tag those files as containing PII .
By moving cold data to object-locked storage and eliminating it from active storage and backups , you can create a logically isolated recovery copy which is immutable , to prevent deletion or alteration . This will also drastically cut storage and backup costs – by 70 % or more – because this lower-performing , lower cost storage tier is not designed for rapid recovery .
Is there a role for AI to play here ?
Yes . The power of AI is that it can very quickly scan petabytes of data – or billions of files – to find specific data sets .
AI tools such as Amazon Macie can help if integrated with an unstructured data management workflow .
IT can use the output of the AI scan in the unstructured data management system to then segregate and move those data sets to a secure storage location where they can ’ t be copied or moved elsewhere in violation of corporate policy and industry regulations .
You can feasibly create an automated policy and workflow for this process to happen continuously . That way , you can be assured of which data sets require the highest level of protection – including DR .
Right-sizing DR and data protection is becoming mission critical today ; we simply can ’ t afford to treat all data the same , but we can protect all data at the level it needs to assure a holistic DR and security strategy . p
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