Concentric Semantic Intelligence™
Data access governance for your structured and unstructured data
No Rules. No Regex. Pure Data Protection.
Risk Distance™ analysis identifies more of your data, spots and remediates risk without complex rules or pattern matching.
The end user / IT data security disconnect
End user activity
IT security concerns
Create a confidential "services agreement" doc and classify it as “public”
What specific documents have been created, modified and shared?
Are documents correctly classified?
Download a "contract" from SharePoint, modify it, upload it to Box, share with third parties
Are sensitive documents shared inappropriately with third parties?
Are documents with PII or other regulated information being shared?
Where are content copies or variants?
Create a highly sensitive document, store it in a “public” folder
Which high value documents are being shared with everyone because they are in the wrong location?
User gets compromised
What data did the attacker access?
Did the user have access to data she should not have? Did the attacker access that data?
User shares "design doc" with personal email account
What are the sensitive documents that any user in my company has shared with their personal email account?
How do I get a surgical list of only the biz critical data she may have shared in this manner vs. benign content?
Concentric Semantic Intelligence Modules
Data Discovery and Classification
Discover all business critical data - from contracts to PII/customer data to intellectual property, classify it centrally - without rules or end user involvement
Data Risk Monitoring
Autonomously monitor risk to sensitive data from permissions violations to inappropriate activity to data variants in the wrong location - without rules, regex or upfront policies
Centralized Risk Remediation
Remediate issues centrally - from fixing classification issues to permissions to location to deleting redundant data
Why Concentric Semantic Intelligence
Inventory business critical assets with MIND deep learning-as-a-service
Thematic category-oriented view of contracts, design document, source code, PII/PCI and more
Community-identified categories create data models for even highly-specialized data types
Autonomous, continuous operation
Risk Distance analysis protects data without overhead
Compare documents with peers in the same category to identify risk from oversharing, third party access, wrong location, misclassification
Benefit from the expertise of content owners without intrusive classification mandates
No rules, regex or policy maintenance needed
Remediate risky sharing or wrong storage locations
Risk-distance technology autonomously identifies inconsistencies in sharing permissions and non-standard locations
Effective against both internal and external oversharing with third parties
Remediate risk by fixing erroneous entitlements, moving data to the right location, or integrating with existing security infrastructure
Identify risky sharing from lateral movement of data across stores
Autonomously identify content variants across data stores - O365, Box, Drive, GDrive, S3, Windows file shares
Spot sharing inconsistencies between content variants
Fix entitlement permissions and remediate risk
Resolve data loss due to misclassification
Autonomously identify document types
Risk Distance analysis identifies misclassification based on peer document practices
Automatically assign the right classification labels to remediate issues
All this without rules, regex or complex upfront policy
How It Works
Deep Learning (used as a form of advanced Natural Language Processing) reveals document meaning and builds thematic, category level views to discover your business-critical data.
Autonomously surfaces high risk data with Risk Distance analysis that uses peer security practices to spot outliers.
Natively remediates risk by fixing issues that put business critical data at risk. Integrates with CASB and DLP tools to improve efficacy and fix issues.
Why It's Different
Complete understanding and semantic mapping of structured and unstructured data
Risk Distance analysis taps the wisdom of your users to deliver a risk-based view into all enterprise data
No rules, no regex and no end-user involvement
Autonomous and continuous, not just a one-time scan
Secure, SaaS solution, API based, no agents