MinerEye leverages AI to handle data segregation across platforms without the capital expense or disruptions to operations.
It enables enterprises to identify and segregate data for various user groups within their infrastructures to ensure that data is accessible only to those who have been granted privileges to see them. Also, as information security techniques become more sophisticated in response to the increasing capabilities of attackers, enterprises besides governments are finding it cost effective to segregate their data by classification level.
The MinerEye approach allows IT organizations to deal with the security erosion of the general network perimeter by using data classification to establish smaller perimeters around related data and allowing access on a strict need-to-know basis.
If we look at the concept of data classification powering data segregation and apply it to the problem of segregating zones and tiers, it turns out to fit pretty well. It allows most enterprises to enhance application security by dealing with security perimeter erosion by hiding the application infrastructure servers from being visible to endpoints without a direct need for access and requires no application or network changes related to cabling, VLAN or LAN changes, or firewall rules. End users are likely to be unaware that any changes had taken place.