• Network Analytics
  • Application Analytics
  • Unstructured Filesystems
  • Structured Repositories
  • Cloud API


  • Machine Learning
  • Artificial Intelligence
  • Proprietary NLP
  • Documents Classification


  • Data Lineage
  • PII Merging
  • Copies of Information
  • Master Catalog


  • Privacy Regulation
  • Compliance
  • Risk Management
  • Security
  • Data Governance

Partial visibility into your data is putting your organization at risk​

Total Amount of GDPR Fines to Date: 144,800,045 Euros uses a unique network analytics approach, powerful ML and AI techniques together with unprecedented data lineage accuracy to continuously discover and catalog all your sensitive and protected data into a PII Inventory and a Master Data Catalog.
  • In motion and at rest
  • Structured and unstructured
  • Known and unknown
  • Within home-grown and off-the-shelf Applications
We automatically discover and analyze all usage of data and its lineage without relying upon the organization’s knowledge of the existence or location of the data. Adding a multilayer machine learning analytic engine gives us the ability to “read and understand” the data and link all the pieces into a full picture represented as both a PII inventory and a Master Catalog.

To achieve and maintain compliance with the latest privacy regulations, such as GDPR, CCPA and LGPD, an effective privacy technology requires three core elements:

  • Discovery
    Finding your known and unknown sensitive data within your network allows for immediate risk reduction.
  • Mapping
    Organizing your data flow to understand precise data lineage and business processes enables you to achieve core compliance requirements.
  • Personal Data Catalog
    A continuously updated in near-real time Master Data Catalog ensures you maintain compliance.