Alex KirillovSenior Product [email protected]
Ken Tripp
Director of Channel Accounts
NETWRIX DATACLASSIFICATION
Daniel Goater,
Solutions Engineer, Netwrix
Zabair Bhatti,
Solutions Engineer at Concept Searching,
part of Netwrix Corporation,
Netwrix Auditor
What is Netwrix Data Classification
Netwrix Data Classification: use cases
Demonstration
Q & A
Prize Drawing
Agenda
All attendees are on mute.
Ask your questions!
Questions will be answered during the
session or in the Q&A at the end.
You will receive the slides and webinar
recording in a follow-up email.
The webinar should take about 60 minutes.
Let’s get started !
Housekeeping
Type your question
here
Click “Send”
Netwrix Data Classification and Netwrix Auditor
Active Directory
Group PolicyWindows File Servers
Oracle Database
Dell EMC SQL Server
Exchange
NetApp
Office 365
SharePoint sMySQLOpenTextContent Suite
WebsitesPostgreSQL
Box
Salesforce
Google Drive
Windows Server
VMware
Network Devices
Azure AD
Nutanix Files
Audit
Data Discovery and Classification
Data Security & Compliance Use Cases
Discover sensitive data
Perform access attestations for sensitive data
Quarantine or redact overexposed data
Prevent unauthorised data sharing through DLP integrations
Comply with subject access requests
Respond to data breach
MEET NETWRIX DATA CLASSIFICATION
REVEAL THE TRUE
VALUE OF YOUR DATA
WHAT’S IN NETWRIX DATA CLASSIFICATION
Identify sensitive information and
reduce its exposure
Improve employee productivity and decision making
Reduce costs by cleaning up
unneeded data
Satisfy privacy and compliance
requirements with less effort
Respond to legal requests without
putting the business on hold
Demonstration
Netwrix Data Classification
Content Services Use Cases
Support legal process
Streamline information request processing
Facilitate decision-making
Improve enterprise-wide search of valuable data
Redact data prior to its migration to a third party
Streamline data migrations to cloud locations
Identify data that’s not in use in order to archive it
Enforce retention policy
Delete redundant, obsolete and trivial data
Records Management
Knowledge Management
eDiscovery
Questions & Answers
Netwrix Data Classification
Prize Drawing
Thank you
Thank you!
