Concentric AI

Concentric’s semantic intelligence solution will scan data, identify sensitive or businesscritical content, identify the most appropriate classification category, and automatically tag the data. Then, Concentric can automatically remediate permissions and sharing issues on its own or leverage other security solutions and cloud APIs to continuously protect exposed data, using artificial ntelligence to improve discovery and classification accuracy.

Then, Risk Distance analysis compares the security context of each individual file with its peers to identify risk and oversharing. Concentric’s deep learning engine autonomously taps into user content expertise without requiring rules, regex, or document tagging performed by end users.

Once files are categorized and assessed for risk, Concentric offers a range of tools that can update critical security and access parameters from a single, centralized location, supporting data access governance. Adding or correcting classification tags on a group of files, for example, is a common data access governance task that can be completed with just a few keystrokes. If a document classification system (such as Microsoft’s MIP framework) already exists, Concentric can integrate with its existing tags. Updating access permission, fixing entitlements, changing access control rules, limiting sharing options, moving data to the right location or deleting data are other remediation activities can then be completed with Concentric.