Tool Overview:
Heureka Software

About heurekasoftware

Heureka Software is a data governance and privacy compliance platform specifically focused on managing unstructured data across enterprise environments. The platform aims to address the challenges organizations face with the rapidly growing volume of unstructured data, which typically comprises 80% of organizational data and grows at a rate of 63% annually.

What does heurekasoftware do?

The platform's core functionality centers on in-place indexing and classification of unstructured data. Once deployed, it creates a full text and metadata index in the background, updating daily with new or modified information. The system includes an automated classification engine that performs daily scans for personally identifiable information (PII) such as national identity numbers, credit card numbers, and bank routing information.

Through its centralized dashboard, the platform provides visibility into networked unstructured data, displaying critical information about what data exists, where it resides, and who has access to it. The system keeps indexes local, which is particularly relevant in privacy-sensitive environments where data movement is restricted.

For compliance purposes, Heureka enables rapid response to Subject Access Requests (SARs) by allowing users to search unstructured data across the enterprise through a single interface. The platform supports various data privacy regulations including GDPR and CCPA by enabling organizations to interrogate unstructured data on-demand at its source.

What makes heurekasoftware different?

A key technical differentiator is Heureka's ability to perform searches across thousands of machines simultaneously while maintaining local indexes. The platform was awarded patent #10,970,297 for its endpoint data indexing technology, which allows it to identify, index, and classify unstructured data in place and at rest with minimal infrastructure impact.

The platform's Advanced Classification and Tagging (ACT) system maintains a central classification library where all tags applied to documents are uploaded and shared across machines running Heureka. This ensures consistent classification across duplicate files throughout the network. The system can also import classification decisions from AI/Machine Learning platforms and E-Discovery review tools.

Use cases and industries

Heureka serves organizations dealing with large volumes of unstructured data, particularly in regulated industries where data privacy compliance is critical. The platform supports multiple workflows:

eDiscovery and Investigations: The system enables iterative searching and analyzing before collection, allowing for early data assessment and precise targeting of relevant documents. This approach aims to reduce the over-collection and over-processing of non-relevant data.

Data Privacy Compliance: The platform helps organizations prepare for and maintain compliance with data protection regulations by enabling rapid identification and classification of sensitive information across enterprise systems. It provides tools for managing Subject Access Requests and data deletion requirements.

Risk Management: Through its daily risk intelligence capabilities, the platform automatically identifies and tags PII information, generating risk scores based on the type and quantity of sensitive data found. A risk dashboard tracks trends over 30-day periods and provides tools for remediating file-level issues.

The platform supports Windows, Linux, and Apple operating systems, covering desktops, laptops, and file shares. According to company materials, organizations using the platform have reported at least 35% cost savings in their unstructured data management processes.