Dismantling Data and Risk Silos

Spanning hunderds of types of data Systems

Relational Databases

Data Warehouses

NoSQL Databases

File Systems

Object Storage

Document
Stores

Graph
Databases

In-Memory Databases

Time-Series Databases

Columnar Databases

Cloud Data Storage

Data Lakes

ERP Systems-

CRM Systems

Middleware

Uncover Hidden Data Resources

Establishing a robust methodology, this process involves deploying advanced scanning and discovery mechanisms to pinpoint elusive shadow and inherent data assets scattered across the diverse infrastructure of major cloud service providers, including AWS, Azure, GCP, and OCI. Through systematic analysis and extraction, the identified data assets are meticulously cataloged, providing a thorough and organized repository that encompasses the entirety of both officially recognized and potentially overlooked data resources.

Discover Sensitive Data

Uncover, categorize, and designate hundreds of sensitive data elements within vast multi-cloud environments and autonomously managed structured and unstructured data systems, scaling seamlessly to the petabyte level. This process involves employing cutting-edge technologies for efficient discovery and classification, ensuring a meticulous labeling approach that enhances data governance and compliance.

Build a Searchable Catalog of Data

By implementing these measures, organizations can effectively search, visualize, and synchronize metadata associated with sensitive data elements across structured and unstructured data systems, leveraging the capabilities of third-party data catalogs for enhanced governance and decision support.