Provides a data governance platform that automates the lifecycle management of unstructured data across hybrid, multi-cloud, and legacy systems. By using a proprietary classification engine, it uncovers hidden risks, ensures compliance with regulations like GDPR and HIPAA, and transforms scattered data into structured insights for improved security and efficiency.
Funding
$8.7M 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.
Founders
Product
Problem
Organizations struggle to manage and secure unstructured data scattered across diverse environments, including hybrid, multi-cloud, and legacy systems. This data sprawl creates silos, inefficiencies, and hidden risks, making it difficult to identify sensitive information, comply with regulations, and extract valuable insights.
Solution
Data X-Ray provides a unified platform for unstructured data lifecycle management, enabling organizations to discover, classify, and govern data across complex environments. Its classification engine identifies patterns and relationships within files, transforming unstructured data into structured insights. The platform automates data governance processes, ensures compliance with regulations like GDPR and HIPAA, reduces storage costs by identifying redundant data, and enhances data security through integration with DLP tools. By connecting the dots between disparate data sources, Data X-Ray brings clarity and control to unstructured data management.
Target Audience
The primary target audience includes Chief Privacy Officers, IT & Data Architects, Data Scientists, Security Leaders, and Chief Data Officers responsible for data governance, security, and compliance within organizations managing large volumes of unstructured data.
Features
- Automated data discovery and classification across hybrid, multi-cloud, and legacy systems
- Industry-leading classification engine that identifies sensitive data and hidden risks
- Native integrations with data catalogs like Collibra for enhanced data governance
- Comprehensive lifecycle management, including data retention, archiving, and deletion
- Seamless integration with DLP tools for enhanced sensitive data protection
- File activity monitoring and audit trails for transparency and accountability
- AI governance features to categorize data for AI applications and ensure compliance
- Data Security Posture Management (DSPM) capabilities