Advanced Unstructured Data Scanning and Discovery

Identify and protect unstructured data on-premises and in the cloud. Get 360° visibility on sensitive personal information in unstructured data, automatically classify personal data, correlate personal data attributes to identities, and deliver scalable performance across massive volumes of unstructured data.

Discovery In Depth

Leverage machine learning, AI, correlation and pattern matching technologies for a multi-pronged discovery strategy. Map, classify and label files to inform security, minimize risk of data breaches, execute privacy protection strategies, and automate the identification of key personal data attributes.

Comprehensive Data Source Coverage

Get a consolidated view of enterprise data and limit the potential for ‘blind spots’ in data protection: along with traditional on-premise file shares and Microsoft SharePoint, BigID coverage extends to AWS S3, Azure File and Storage, Box, Google Apps and Microsoft O365 OneDrive

Support Petabyte Scale

Avoid the need for dedicated hardware for discovery at limited scale: BigID’s split scan and distributed scanner capabilities allow for multiple scans to run concurrently with support for native indexing provided by services like Office 365 and Box.

AI for Personal Information Discovery

Improve accuracy and eliminate data copying for compliance through mapping of key personal data attributes: BigID’s named entity recognition leverages neural networks AI to automatically recognize individuals and a set of highly identifiable attributes within unstructured data files (like Word or PDF docs).

Automated File Classification and Labeling

Minimize manual efforts to tag and classify unstructured data files, and build identity and entity profiles in a comprehensive data catalog.  Identify, classify, and map tens of thousands of files using file cluster analysis capabilities based on vectorization.

Flexible Classification Rule Definition

Leverage BigID’s modern architecture to efficiently discover personal and sensitive information: activate out-of-the-box rules to classify standard identifiers as well as passwords and security keys, compile policy libraries, create custom classification rules, and define regular expressions.