the 2 questions that drive your data protection strategy€¦ · drive your data protection...
Post on 11-Jun-2020
1 Views
Preview:
TRANSCRIPT
2 Questions to Drive Your Data Protection Strategy Understand the What and Where to guide your program
Bill Bradley Bio
Prior Experience: Cybersecurity, Physical Security; Marketing, Sales, and Business Leadership
Product Marketing for Data Loss Prevention
~20 years of technical marketing & sales experience• Field Sales, Competitive Analysis, Product Mktg & Mgt
Previously at Rapid7 and General Electric Corporation
2
Bill BradleyDirector, Product Marketing
Marketing and Sales Professional
Agenda
The Trend Toward Data
Question #1 - Data Protection Objectives
Question #2 - Data Protection Vision
Linking What with Where
Questions
The World & Business Runs on Data
Facebook users upload 900mm photos…daily
IDC estimates that the digital universe is growing at ~40% year over year.
4
Sources: Ocean Tomo, Annual Study of Intangible Asset Market Value; http://datacenterfrontier.com/inside-facebooks-blu-ray-cold-storage-data-center/ ; IDC
INTANGIBLE ASSETS (SUCH AS IP) HAVE GROWN
FROM 17% OF THE S&P 500’S MARKET VALUE IN
1975 TO 84% IN 2015
Business Runs on Data
Question #1 - Data Protection Objectives
Question #1 - Data Protection Objectives
What is your primary data protection
objective?
Question #1 - Data Protection Objectives
Comply with External Regulations
Protect Intellectual Property
Comply with Business Partner
8
Comply with Regulations
9
“Maintaining payment security is required for all entities
that store, process or transmit cardholder data”
“Protecting the privacy and security
of certain health information.”
“Explain their information-sharing practices to
their customers and to safeguard sensitive data”
“Protect all EU citizens from privacy and data
breaches in an increasingly data-driven world”
What is your corporate language
around data governance?
Protect Intellectual Property
10
10,000
COMPOUNDS
250
COMPOUNDS5 COMPOUNDS
1 FDA
APPROVED
DRUG
~6.5 YEARS ~7 YEARS ~1.5 YEARS
DRUGDISCOVERY
PRECLINICAL
CLINICAL TRIALS FDAREVIEW
Drug Discovery &
Development-Timeline
SW Source Code Drug Development Process CAD
Comply with Business Partner
11
Global design centers
Single Corporate HQ Regional Manufacturing
Local Retailers
Global innovation centers
Question #2: Data Protection Vision
Question #2: Data Protection Vision
Where do you need to focus your data
protection efforts?
Question #2: Data Protection Vision
14
INSIDER THREATS OUTSIDER THREATS
Linking the “What” with the “Where”
15
Linking the What with the Where
16
COMPLY WITH REGULATIONS
PROTECT INTELLECTUAL PROPERTY
COMPLY WITH BUSINESS PARTNER
Linking the What with the Where
17
COMPLY WITH REGULATIONS
PROTECT INTELLECTUAL PROPERTY
COMPLY WITH BUSINESS PARTNER
Linking the What with the Where
18
COMPLY WITH REGULATIONS
PROTECT INTELLECTUAL PROPERTY
COMPLY WITH BUSINESS PARTNER
INSIDER THREATS
OUTSIDER THREATS
Linking the What with the Where
19
PROTECT INTELLECTUAL PROPERTY
COMPLY WITH BUSINESS PARTNER
ENDPOINT DLP
Linking the What with the Where
20
PROTECT INTELLECTUAL PROPERTY
COMPLY WITH BUSINESS PARTNER
+
INSIDER THREATS
OUTSIDER THREATS
ENDPOINT DLP
+
ADVANCED THREAT PROTECTION
Linking the What with the Where
21
COMPLY WITH REGULATIONS
NETWORK DLP
CLOUD DLP
DISCOVERY DLP
Summary
Data is fueling business; you need to protect it
Two questions can guide your data protection program• What is your primary data protection objective?
• Where do you need to focus your data protection efforts?
The answers can provide direction for your data protection• Network, Endpoint, Cloud, and Discovery
• Advanced Threat Protection
22
Next Generation Data Protection
23
Data is Everywhere
24
Data Protection is Everywhere
Questions?
26
Digital Guardian’s Next Webinar
451 Research - Data Classification for Better Data ProtectionYou can’t protect what you don’t understand
• Thursday, August 25, 2016 @ 11:00 AM ET
• Garrett Bekker - Senior Security Analyst - 451 Research
• William Bradley - Product Marketing - Digital Guardian
Watch this webcast to learn:• How the data intensive organization is expanding and the impact
• Why trying to protect everything is a recipe for disaster (or very expensive!)
• How data classification can drive more efficient and effective data security
• The types of classification and how to evaluate them
27
top related