Box Cloud offers automation to classify sensitive data


Box, the American cloud services provider, more into file sharing service, has announced that it is offering an automated service to classify sensitive data through its advanced security platform dubbed ‘Box Shield’.

Technically Box Shield is the all-in-one security product offered by Box to secure data in the cloud. Now, the service has been enriched with a new automated service that auto scans files and classifies them based on the content stored in it.

As most of the companies are allowing their employees to work from home, the trend has generated a big trouble to companies that are struggling to keep their data safe from hackers on go.

This is where Box Shield is helping its customers by blocking shared link access to sensitive files from being downloaded fraudulently. Now, with the help of integrated machine learning tools, Box Shield will automatically classify files while being uploaded and edited to enable secure remote access from anywhere.

More details about Automated Classification

With the help of Artificial Intelligence, Box Shield will classify files as soon as they are uploaded, edited, migrates or copied- all depending upon some pre-defined policies defined by the administrator. Therefore, the data classification efforts will help companies leverage the automated tools to enforce policies to better comply with GDPR and other data privacy laws.

Note- Box Shield can identify files having social security numbers, bank details, driver’s licenses and other sensitive data as ‘critical’ files. A source from the American Content Management Company says that the classification will depend on the custom terms and phrases used within the files such as NDA, bank account number, confidential, internal use, and such. The service will go live to all eligible customers from the second week of August 2020.

Naveen Goud is a writer at Cybersecurity Insiders covering topics such as Mergers & Acquisitions, Startups, Cyber Attacks, Cloud Security and Mobile Security

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