"1) United States Patent No. 10,372,731 was granted: “Method Of Generating A Data Object Identifier And System Thereof” in the name of MinerEye Ltd.
Filing Date: November 23, 2016
Filing No: 15/360,612
Issue Date: August 6, 2019
Patent No.: 10,372,731
Patent Term: 20 years from the filing date
2) United States Patent No. 16/154,630 was granted: ""Methods And Systems For Clustering Files” in the name of MinerEye Ltd.
Filing Date: October 8, 2018
Filing No: 15/154,630
Issue Date: October 7, 2020
3) MinerEye was recognized as the Winner of the 2020 Cyber Security Excellence Awards in the Data Classification Category.
4) MinerEye achieved an official ISO27001 certification.
5) We have acquired three new customers and three strategic partners in Europe and the US around Data Privacy projects that required DataTracker smart discovery in the cloud and on-premise data sources. These deals were closed thanks to the contribution to the efficiency of classifying data and business apps and services, such as CRM, marketing automation, and more. We've learned that corporate business processes such as HR, Legal, Finance, are at the highest risk. These business groups practice a high level of sharing files, signing off of internal documents, and using external cloud collaboration tools. With DataTracker we have been able to reduce the operational expenditures involved with cloudification, and the customers were able to ensure that only the data that is ‘migration-worthy,’ i.e. is valuable to the organization and all of its relevant stakeholders, is actually moved to the cloud. This required knowing which data should be moved and which shouldn’t, and which data must be protected versus that which can be archived or even (must be) deleted.
The immediate impact on our customers was around fast time-to-value, cost-saving in manual and tedious work, and coverage of vast amounts of data.
6) We have learned that mid-market and Small Medium Businesses do not have many alternative solutions to automate the discovery of risky data and these organizations are at the highest risk since they have the highest number of distinct cloud services. It is unclear at this point if these organizations will use this as a service (SaaS) or will prefer to run the application from their cloud instance and scan their synced end-point data without installing agents on their corporate laptops. This will require more market research and trial through partners going forward."
