The document outlines the challenges and risks associated with the exponential growth of data, including increased incidences of data breaches and evolving regulations that necessitate effective data monetization and governance. It highlights key data privacy laws, the financial impact of data breaches, and the importance of classifying and protecting sensitive data across various platforms. Additionally, it emphasizes the role of automated data mapping solutions in enhancing data discovery, classification, and risk analysis to mitigate potential legal and financial repercussions.

5. Massive Data Volume
Growth
Ever Increasing Data
Complexity
Huge Growth in Data
“Incidences”
New and Evolving Data
Laws and Regulations
Exposure to
Reputational Risk,
Litigation, Fines
Need to Monetize Data
to Enable Growth

6. Legislation
01
02 Data Breaches
Consumer Litigation
03
Data Monetization
04
Notable Data Privacy Laws:
• US – 12 states enacted, 8 more in line in 2024
• EU – GDPR
• Canada – Bill C27, QC Law 25
• AI Governance
• 83% of US companies have a breach as of 2022
• Average cost of a breach is $4.5M in 2023
• 82% of breaches were cloud based in 2023
• Class action suits for privacy incidents are growing globally – Blakes
• The settlements in data breach class actions have reached well into the
millions: Home Depot ($200M), Capital One ($190M), Uber ($148M),
Morgan Stanley ($120M), Yahoo! ($85M), Desjardins ($200M)
• Growth in cloud data – off the charts!
• Data-driven companies and economy
• The financial value of data

7. PI A, DPI A, TI A, RoPA
DSAR, Policy, Consent
Privacy & Data
Governance
Framework
AI Governance
Automated
Data Mapping

9. 9
1 Discover 2 Classify 3 Report /
Integrate
4 Remediate
Data Discovery
All Sensitive Data
• PII, PCI, PHI etc.
All Data Types
• Structured, Unstructured
All Locations
• On-prem, cloud, 3rd party
Data Classification
Out of the Box
Custom Classifications
• What is sensitive to your
org?
Data Risk
System Level Data Risk
Integrated with Denodo
PUBLIC INTERNAL ONLY CONFIDENTIAL RESTRICTED

10. Customized Classification
Engine
AI Based
Pattern
Based Dictionary
Based
10
Business Data
Sources
Required Data
Classifications

11. Sensitive data that if
compromised could
negatively affect
operations
Data that may be freely
disclosed to the public
Internal data not meant
for public disclosure
Highly sensitive data
that if compromised
could put the
organization at legal or
financial risk
PUBLIC INTERNAL ONLY CONFIDENTIAL RESTRICTED

12. Data Classifications, Sensitive Data, Risk Analysis
www.data-sentinel.com
2

13. 13
Policy
Area
Related Data Assets
Refined Privacy Policy &
Data Classifications
Related Systems
Public
Marketing Materials, Website Content, Public
Company Contact Details, Public Press Releases,
Public Financial Statements
File Servers
SalesForce
Exchange (E-Mail)
SharePoint
OneDrive
SQL Servers
AWS S3
Internal
Budgets, Organizational Charts,
Policies, Guidelines, Procedures, Memos
Confidential
Client Records
Customer Records
Employee Records
Restricted
Investment Information, Payment Information, Date
of Birth, Government Identifiers, Financial or Credit
Card Information (PCI), Health Information (PHI),
Litigation Documents, Internal Investigations

17. Actionable data discovery, classification,
and protection is possible
Denodo and Data Sentinel makes this
easy and programmatic
Help your CDO/DPO sleep at night