Clone of AI-powered data tracker continuously automates protection for GDPR compliance
To do so, the tool employs machine learning and computer vision to scan enterprise data repositories at the byte and pixel level. Sensitive data is mapped, tagged and secured according to data protection and compliance regulations including GDPR, HIPPA, PCI-DSS, SOC2, and EU-U.S.
“Companies cannot protect, manage or utilize information they can’t find,” argues MinerEye CEO and Co-Founder Yaniv Avidan. “Using our Interpretive AI, 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 – to uncover and categorize data groups that have not been pre-specified. Using AI, and a small number of exemplar files, MinerEye learns, detects, and categorizes unspecified types of information. For example, it can detect and group sensitive contracts, customer complaints, log files, corporate videos, or legacy employee information.
The company says the tool will save enterprises millions in data storage costs, while easing cloud migration, helping them continuously protect against security breaches and ensure regulatory compliance – especially GDPR.
MinerEye Data Tracker helps companies consolidate internal file server data into OneDrive as part of Office 365 and Azure adoption. MinerEye classifies and mediates the movement of current and legacy data and eliminates redundancies while continually monitoring both cloud and on-premise repositories.
The tool 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.
MinerEye’s AI continuously maps and alerts on data residency issues and data sharing violations that are prevalent among large data set carriers. For 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.
The DataTracker technology is encapsulated in an Open Virtual Machine that scans data repositories remotely using read permissions only. A single machine supports up to 120TB of data throughout its lifecycle, and can be distributed and configured to match the company’s network storage and security systems architecture and data flows.
MinerEye – www.minereye.com