BigID provides a cloud-native platform that utilizes machine learning for data discovery, classification, and security across hybrid environments. The solution enables organizations to manage sensitive data, ensure regulatory compliance, and mitigate risks associated with data privacy and security breaches.
Funding
$306.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+6Founders
Product
Problem
Organizations struggle to discover, classify, and secure sensitive data across increasingly complex and hybrid environments. This lack of visibility makes it difficult to manage data privacy, ensure regulatory compliance, and mitigate the risk of data breaches.
Solution
BigID offers a cloud-native platform that leverages machine learning to provide comprehensive data intelligence and security. The platform automatically scans, discovers, and classifies data across cloud, on-premises data centers, and hybrid environments, enabling organizations to understand their data landscape. By uncovering dark data and identifying high-risk information, BigID helps businesses improve their security posture, automate privacy operations, and achieve regulatory compliance. The platform's modular design and open ecosystem allow for seamless integration with existing technology stacks, providing a unified approach to data visibility and control.
Target Audience
BigID primarily targets enterprise organizations across various industries that require comprehensive data visibility and control to manage data privacy, security, and compliance in complex, hybrid environments.
Features
- Automated data discovery and classification across structured, unstructured, and semi-structured data sources
- AI-powered sensitive data identification with customizable NLP classifiers and graph technology
- Data Security Posture Management (DSPM) for uncovering dark data and surfacing critical risks
- Data Privacy Management (DPM) with data-driven automation for regulatory compliance
- Cloud DLP capabilities for identifying and labeling sensitive data and enforcing policies
- Insider risk reduction through access governance controls and least privilege modeling
- Support for various compliance frameworks, including GDPR, CCPA, NIST, and HITRUST
- Open API and modular architecture for integration with existing security and governance tools