Cloud platform Box introduces automated file classification into Box Shield, its machine-learning-based security platform to prevent data leaks and compromises.
Box launched Private Beta in August before fully launching two months later. Initially, Box Shield was shipped with a handful of core features, including “Smart Access,” which allows administrators to define rules and access policies to control certain actions between employees, such as content and link sharing, and to set up automated threats and data breach detection alerts. A few months ago, Box added automatic malware detection to the mix.
With automated classification, Box automatically scans files using machine learning to recognize personally identifiable information (PII) in files in real time when uploaded to the cloud or moved between locations. In this way, companies can protect all of their documents, including spreadsheets, PDFs and box notes, and ensure that confidential or private information is categorized with the correct access and sharing rights.
With automated file classification, Box Shield classifies files based on guidelines defined by the administrator, making it easier to enforce these guidelines on a large scale and ensure compliance with the growing number of data protection laws such as GDPR and longstanding regulations such as HIPAA.
For example, Box Shield can recognize and classify files that contain social security numbers, bank account details, or driver̵
Shield can then enforce access controls, e.g. B. restricting downloads or sharing links to folders.
The launch fits a broader trend in which automation has infiltrated the cybersecurity industry. However, there is also a time when more people are working from home due to the COVID 19 crisis, which increases the risk of external and internal threats to companies. According to Box, Shield was used 8 million times in June alone to block access to shared links to classified files, and prevented almost 1 million downloads of classified files.