Tool Overview:
MinerEye

About MinerEye

MinerEye is a data discovery and protection platform that uses artificial intelligence to help organizations manage and secure their unstructured data. The platform's core offering, DataTracker, focuses on automating the discovery, classification, and protection of sensitive information across cloud and on-premise environments. The solution addresses the growing challenge of data sprawl in enterprise environments, particularly the risks associated with uncontrolled sharing of business-critical and personal information in cloud-based collaborative platforms.

What does MinerEye do?

The platform's primary function is automated data discovery and classification, processing up to 1 terabyte of data per hour. MinerEye's Interpretive AI technology examines files at the pixel and byte level, identifying personal information and business entities within various file types including images, PDFs, Office documents, text files, and binary data. The system applies virtual labels to files based on their content, enabling organizations to implement granular classification that reflects their security, privacy, and operational policies.

DataTracker incorporates risk scoring capabilities, automatically assigning risk scores to files based on their content and context. This scoring system helps organizations prioritize their data protection efforts and supports decision-making in compliance and forensics. The platform continuously monitors data repositories, adapting to changes in file forms and contents through machine learning algorithms.

What makes MinerEye different?

A key differentiator of MinerEye is its approach to data classification through virtual labeling. The platform provides a simulator for analyzing and resolving overlapping data protection and privacy policies among file data, addressing the common challenge of policy conflicts caused by end-user error or unsynchronized compliance requirements. This granular approach allows a single file to be matched with multiple virtual labels, providing more precise policy enforcement.

The platform's AI-driven automation sets it apart in terms of processing capability. Users can analyze 500TB of data while utilizing only 4TB of disk space and 20 CPUs, making it suitable for large-scale enterprise deployments. The system also features data minimization capabilities, automatically identifying redundant, obsolete, and trivial (ROT) files containing sensitive data that can be safely deleted.

Use cases and industries

MinerEye serves various sectors including banking and financial services, healthcare, retail and e-commerce, and technology companies. The platform supports multiple compliance frameworks including GDPR, CCPA, HIPAA, and PCI-DSS, helping organizations meet regulatory requirements for data protection and privacy.

For incident response scenarios, MinerEye enables rapid detection and reporting of compromised personal information and sensitive data. The platform can scan compromised data and report findings down to the entity detail within minutes, supporting organizations in meeting breach notification requirements and reducing the risk of non-compliance penalties.

In cloud environments, MinerEye integrates with major repositories such as Microsoft 365 to protect sensitive business and personal information. The platform's data segregation capabilities allow enterprises to identify and segregate data for various user groups within their infrastructures, establishing smaller security perimeters around related data and implementing access controls on a need-to-know basis.