Secure Cloud Migration
that eliminates data risk
Enjoy the advantages of hybrid cloud computing
without security compromises, in public and private clouds

Identify Business-Critical Data
Content and context based identification of all business critical data - Business Confidential, IP, Financial, PII/PCI. Thematic category based views. Data classification with minimal effort.

Find Cloud Data Risk
Risk Distance™ analysis finds high risk data with continuous monitoring for changes in risk and sensitivity

Remediate Risk and Protect
Remediate inappropriate collaboration and reduce risk either natively or through third party CASB/SASE tools
Why Concentric Semantic Intelligence

Automatically Deep Learn and Surface Business Critical Cloud Documents
Sensitivity is often in the meaning or import behind the information. Concentric Semantic Intelligence deep learns the content and context of your data to determine sensitivity across all categories of biz critical data - IP data, Financial Data, Business Confidential Data, and PII/PCI Data.
Risk Distance™ analysis finds high risk cloud data and reduces data loss
Monitor sensitive data for risk from in inaccurate classification, inappropriate collaboration and remediate with ease


No rules, no user tagging required
Does not require any rules, regex, complex upfront policies or user inputs
For unstructured data in hybrid cloud environments
Data can be on of any type on any cloud storage such as OneDrive, SharePoint, Google Drive, Box, Dropbox, Amazon S3, Windows file shares etc.

What our customers say
Featured Resources
BLOG
Cloud, Content, Collaboration Redefining Data Security
Latest numbers show a dramatic shift in challenges to reducing data risk.
SOLUTION BRIEF
Cloud Migration
Solution Brief highlights how Concentric Semantic Intelligence Technology helps in Cloud Migration decisions and reducing Data Risk in the Cloud.
BLOG
Collaboration and the real risks of data loss
Business critical unstructured data plus work from home plus increased collaboration equals higher data risk and greater data loss