6. • Where best to start on reducing privacy
risk?
• Should scale be a concern for discovery
and classification?
DISCOVER, CLASSIFY,
AND CORRELATE PI
CHALLENGE:
Scanning, identifying, and taking action on
PI residing in multiple locations
7. DATA MANAGEMENT
SOLUTION #1:
• File Analysis, Insight and Intelligence
• Better Classification with Machine Learning
o Neural Networks
o Correlation, enrichment and proximity
o Regular expressions (RegEx) and patterns
9. DE-RISKING DARK DATA
SOLUTION #2:
• SharePoint & M365 Data in
Context with Enterprise Data
CATALOG
• Personal, Sensitive, Regulated and
Dark Data
• Vulnerable and over-permissioned
data
IDENTIFY
• By Policy and Type
– Personal, Sensitive and
Regulated Data
CLASSIFY
10. • How to know what data requires action?
• How to scale discovery and classification
to identify PI and sensitive data?
• How much of the governance process can
be automated for SI & PII documents?
INABILITY TO TAKE
ACTION ON IDENTIFIED
RECORDS WITH PI
CHALLENGE:
Migration, legal holds, redaction and
disposition policies based on file insights
11. CLEAN UP YOUR DATA
AUTOMATING ACTION
BASED ON CLASSIFICATION
SOLUTION #3
REDUCE RISK
CONTINUAL RETENTION & QUALITY
• Minimize duplicate and redundant data
• Fix data quality issues
• Align policy and tagging
• Consistently monitor on-prem & cloud
• Ongoing management of data retention
policies
• Improve data quality
12. THANK YOUTHANK YOU
• Multi-National Organization
• 7,000+ Financial Advisors
• Fortune 400
Leading Investment Bank
& Financial Services
Company
• North America
• 650 Travel Centers
• $21b in Revenue
Pilot Flying J
Travel Centers
CUSTOMER SPOTLIGHTS