Data Classification Reimagined
-
BigID
|
BigID |
|
|---|---|
| Modern Data Landscape Coverage | |
| All Structured Data | |
| Data Lakes & Warehouses | |
| Files & Docs | |
| Mail & Messaging | |
| Images | |
| SaaS | |
| AWS | |
| Azure | |
| GCP | |
| Data Pipelines | |
| Kafka | |
| Kinesis | |
| Next-Gen Classification Technology | |
| Pattern based Discovery | |
| ML-based NLP and NER | |
| AI-focused Deep Learning | |
| Fuzzy classification to identify duplicate and similar data | |
| Graph based analysis | |
| Classification Where You Need It | |
| Data fields in databases & warehouses | |
| Data elements in docs and PDFs | |
| Data strings in mail and messages | |
| Sensitive data in images | |
| Unstructured data, AVRO, and Parquet | |
| Column metadata | |
| PII & contextual PI | |
| PHI & HIPAA data | |
| NPI data | |
| Permutations of customer IDs | |
| Credentials, passwords, and API keys | |
| Entire documents | |
| Customizable Classification | |
| Sensitivity to balance false positives with false negatives | |
| Ability to turn reference data into classifiers | |
| ML based supervised learning for expert tuning | |
| Inclusion / exclusion controls for databases and data stores | |
| Workflow and collaboration capabilities | |
| Classification for Governance | |
| Integrates with metadata metadata catalog like BigID | |
| Metadata exchange with Collibra | |
| Metadata exchange with Informatica EDC | |
| Metadata exchange with Alation | |
| Metadata exchange with SAP | |
| Metadata exchange with ASG | |
| Privacy-Aware | |
| Find PII & PI | |
| Build and maintain a personal data inventory | |
| Map data flows for GDPR RoPA and CCPA data sharing | |
| Find all data connected to a data subject identity | |
| Automate data access and deletion rights | |
| Take Action for Security | |
| Remediate data | |
| Encrypt data | |
| Automatically archive or delete data | |
| Manage retention and data aging | |
| Dynamic data masking | |
| Integrate with DLP | |
| Low Cost of Ownership | |
| Avoid agents which are hard to implement and maintain | |
| Make updates stateless and low impact | |
| Leverage ML and automation | |
| Provide deployment optionality from docker to VM | |
| Leverage enterprise infrastructure like password vaults, kubernetes, AD / Okta | |
| Make scans customizable, resilient and self-healing | |
| Deployment options for on-prem and cloud | |
| Scalability | |
| Hyperscan to accelerate unstructured scanning | |
| MegaScale for scanning data lakes and warehouses | |
| Dynamic lateral scale-out and scan splitting |
Next-Gen Classification
Re-imagine data classification for today’s modern data landscape: BigID’s data classification is purpose-built for all types of data – everywhere, to scale for enterprise environments.
Awards & Recognition
Schedule a demo
Get a custom demo with our data experts in privacy, protection, and perspective – and see BigID in action.
Industry Leadership
