ML Driven Data Classification
Data Classification Re-imagined for the Modern Data Landscape
Built for the Enterprise Environment
BigID’s data classification is purpose-built for all types of data – everywhere: from structured to unstructured; files and documents; mail and images; data at-rest and data in-motion.
Deep Learning and NLP
Automatically classify more types of data in more places: regular expression is just the start.
Get next-gen classification with BigID that leverages not just pattern based discovery, but ML classification based on NLP and NER, AI insight based on deep learning, and patented file analysis classification.
Identify similar, duplicate, and redundant data with fuzzy classification for a layered classification and discovery approach.
Classify by category, type, and sensitivity – and identify high-risk data more accurately.See it in Action
Graph based Analysis
Leverage graph based analysis to identify related data, automatically discover dark data, and surface relationships between disparate points of sensitive, regulated, & personal data.
Inventory related data and discover hidden relationships, miscategorized data, and more. Use BigID’s advanced ML for fewer false positives, improved accuracy, and faster time to value.
Classify All Sensitive Data, Everywhere
BigID’s advanced data classification automatically finds, identifies, and classifies regulated data like PCI and HIPAA, personal data including PII and contextual PI, NPI data, credentials, passwords, and security keys, IP data, and document types.
Custom and OOB Classifiers
Get hundreds of classifiers out-of-the box: from regulated data types to security classifiers to data privacy regulations.
Create your own classifiers to fit with your business needs, and easily apply them across all your data – on-prem and in the cloud.Try BigID in Your Environment
Classification At Scale
Scale classification with a dynamic approach for your enterprise environment: scan the way that makes sense for your business – prioritizing sensitive data first, with simple classifier builders, exclusion / inclusion ranges in data stores, and metadata, physical, and document data all at one time.