Data tagging

Data tagging better manages the exposure and concentration of sensitive documents to protect them effectively.

What is data tagging?

Data tagging enables MSPs and their end users to see how much of their data being backed up is classed as highly sensitive or sensitive, allowing them to better manage their exposure and concentration of sensitive documents to protect them effectively.

For example, it may identify that 90% of an organisation’s most sensitive files are stored on a single machine, or that 75% of data held within a Google Workspace user’s account is highly sensitive.

The benefits of data tagging

Greater visibility of sensitive data being stored and backed up across customer platforms
Completely automated process. No user input is required unless the customer would like to re-categorise a file classification. This can also be done in bulk if required
Enables MSPs to provide recommendations, advice or even additional services to manage sensitive end users’ data

How data tagging works

The data is decrypted and sent securely (using SSL encryption) to the feature extraction engine, where it is scanned within milliseconds.

The data remains encrypted on the customer machine and in the backup. Encryption keys remain encrypted using the OS API so that they cannot be accessed by anyone.

The data is then classified based on criteria outlined in the GDPR, FOI and POPIA regulations. Since the identifiers that make a file highly sensitive or sensitive are functionally the same for any data protection regulation, Data Tagging is also useful for organisations that aren’t required to adhere to these regulations and legislation.