MinerEye will be presenting its new Data Tracker solution at the Security Shark Tank® During RSA 2018 Conference in San Francisco.

"Companies cannot protect, manage or utilize information they can't find," said MinerEye CEO and Co-Founder Yaniv Avidan. “Using our Interpretive AITM, MinerEye fuses computer vision and machine learning to track information at the byte and pixel level, which no other solution has achieved."

Most data tracking and classification technologies categorize data based on descriptive elements such as file size, type, name and location. MinerEye dives deeply into the basic data form to its essence, uncover and categorize data groups that have not been pre-specified. Using AI, and a small number of exemplar files as training set, MinerEye learns, detects, and categorizes unspecified types of information. For example, it can detect and group sensitive contracts, customer complaints, log files, corporate M&A documents, or legacy employee information.

“Data Tracker is easily installed and maintained with no local agent, an insignificant network and CPU footprint − a single virtual machine manages 120 terabytes throughout its lifecycle − and fast deployment that delivers exponential ROI for our customers,” says Avidan.

MinerEye enables enterprises to immediately save millions in data storage costs, fast-track cloud migration, continuously protect against security breaches, and ensure regulatory compliance, especially GDPR, which takes effect May 25, 2018.

MinerEye Data Tracker helps companies consolidate internal file server data into cloud repositories such as OneDrive as part of Office 365 and Azure adoption. While many organizations, as well as Microsoft, have faced major challenges completing hybrid-cloud initiatives, MinerEye customers have successfully overcome these challenges by swiftly identifying, classifying, tracking and downsizing on-premise data before and after it moves to the cloud. MinerEye integrates with Azure Information Protection to automate the propagation of labeling and protection to undermanaged and unstructured data.

“With the emergence of GDPR and other compliance measures, organizations need full control and awareness of their data at all times in order to meet regulatory requirements,” said Malcolm Harkins, chief security and trust officer of Cylance. “MinerEye’s application of artificial intelligence and machine learning brings a fresh vision and approach to the complex fields of data governance and data protection, providing organizations with a scalable and comprehensive solution for tracking and protecting sensitive data.”

"As data becomes the new endpoint, MinerEye will become the fundamental layer that automates information governance wherever it resides by identifying data in all its states using the power of AI," Avidan says.

MinerEye Data Tracker Features:

Fast Track Cloud Migration - MinerEye classifies and mediates the movement of current and legacy data, and eliminates redundancies while continually monitoring both cloud and on-premise repositories.

Automated Data Protection - MinerEye tailors automated classification capabilities to current data security controls, ensuring consistent and comprehensive classification of all essential data. MinerEye Data Tracker can easily detect and understand unusual data behavior indicating activities that could present risk: suspicious or irregular movement, deletion, or modification of specific data.

Data Segregation - MinerEye’s AI continuously maps and issues alerts on data residency issues and data sharing violations that are prevalent among large data set carriers.

Data Minimization - MinerEye helps companies eliminate excess, obsolete and redundant data that has accumulated over time and takes up valuable data storage. Reducing storage costs results in millions of dollars in savings. MinerEye also limits personal data collection, storage and usage to only relevant locations, keeping volume and management costs lower and safer.

Easy Installation and Maintenance with No Footprint - Data Tracker technology is encapsulated in an Open Virtual Machine that scans data repositories remotely using read permissions only. The product is easy to install and maintain, and leaves zero footprint on network and storage. A single machine supports up to 120 terabytes of data throughout its lifecycle, which can be distributed and configured to match the company's network storage and security systems architecture and data flows.