Automated Data ClassificationMinerEye tailors automated classification capabilities to your current data protection systems, ensuring consistent and comprehensive classification of all essential data.
The ability to securely classify information leads to more efficient business processes and decreased costs. After the initial identification of information, MinerEye is able to use vision pattern matching to create unsupervised clusters of similar data. Through machine learning, MinerEye provides suggestions on how data should be optimally classified. PII such as names, Social Security numbers, credit card information, and other sensitive information is automatically recognized by MinerEye’s interpretive AI, and the location of this data is shown to the user. This step is completed automatically – without tedious rule creation and maintenance.
MinerEye’s integration with data protection software tools, such as Azure Information Protection (AIP), propagates AIP labels to unlabeled data, and assures comprehensive and efficient data classification and protection.