Personal data discovery, classification and identity correlation
Privacy runs on knowing whose data it is. BigID finds personal and sensitive data by its context and the entities in it, then the patented identity graph ties each record back to a person, so every request, consent decision, record of processing and breach notice starts from the real estate.
- Discover personal data across structured, unstructured and semi-structured sources in cloud, SaaS and on-prem, at petabyte scale
- Classify by context and entity with NLP, contextual named entity recognition and document classifiers, so a name or number is recognized by what surrounds it
- 2,000+ pretrained classifiers for PII, PHI, financial and regulated data, in any language and global format
- Composite classifiers that catch combinations of attributes that identify a person together
- Patented identity graph that correlates records to the individual they belong to, customer, employee or patient
- Identifier correlation that unifies email, phone, username and account IDs into one profile
- Find inferred and derived personal data wherever it appears, with no schema knowledge needed
- Residency, ownership, purpose and access mapped to every personal data finding
- Personal data in AI: training sets, vector databases, model inputs and outputs
- Prompt-based classification and natural language search to describe what you are looking for in plain language