2 Questions to Drive Your Data Protection Strategy. Understand the What and Where to guide your program

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1 2 Questions to Drive Your Data Protection Strategy Understand the What and Where to guide your program

2 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 Bill Bradley Director, Product Marketing Marketing and Sales Professional 2

3 Agenda The Trend Toward Data Question #1 - Data Protection Objectives Question #2 - Data Protection Vision Linking What with Where Questions

4 The World & Business Runs on Data INTANGIBLE ASSETS (SUCH AS IP) HAVE GROWN FROM 17% OF THE S&P 500 S MARKET VALUE IN 1975 TO 84% IN 2015 Facebook users upload 900mm photos daily IDC estimates that the digital universe is growing at ~40% year over year. Sources: Ocean Tomo, Annual Study of Intangible Asset Market Value; ; IDC 4

5 Business Runs on Data

6 Question #1 - Data Protection Objectives

7 Question #1 - Data Protection Objectives What is your primary data protection objective?

8 Question #1 - Data Protection Objectives Comply with External Regulations Protect Intellectual Property Comply with Business Partner 8

9 Comply with Regulations Maintaining payment security is required for all entities that store, process or transmit cardholder data Protect all EU citizens from privacy and data breaches in an increasingly data-driven world Protecting the privacy and security of certain health information. Explain their information-sharing practices to their customers and to safeguard sensitive data What is your corporate language around data governance? 9

10 Protect Intellectual Property SW Source Code Drug Development Process CAD DRUG DISCOVERY PRECLINICAL Drug Discovery & Development-Timeline 10,000 COMPOUNDS 250 COMPOUNDS CLINICAL TRIALS 5 COMPOUNDS FDA REVIEW 1 FDA APPROVED DRUG ~6.5 YEARS ~7 YEARS ~1.5 YEARS 10

11 Comply with Business Partner Single Corporate HQ Regional Manufacturing Global design centers Local Retailers Global innovation centers 11

12 Question #2: Data Protection Vision

13 Question #2: Data Protection Vision Where do you need to focus your data protection efforts?

14 Question #2: Data Protection Vision INSIDER THREATS OUTSIDER THREATS 14

15 Linking the What with the Where 15

16 Linking the What with the Where COMPLY WITH REGULATIONS PROTECT INTELLECTUAL PROPERTY COMPLY WITH BUSINESS PARTNER 16

17 Linking the What with the Where COMPLY WITH REGULATIONS PROTECT INTELLECTUAL PROPERTY COMPLY WITH BUSINESS PARTNER 17

18 Linking the What with the Where COMPLY WITH REGULATIONS PROTECT INTELLECTUAL PROPERTY OUTSIDER THREATS COMPLY WITH BUSINESS PARTNER INSIDER THREATS 18

19 Linking the What with the Where PROTECT INTELLECTUAL PROPERTY ENDPOINT DLP COMPLY WITH BUSINESS PARTNER 19

20 Linking the What with the Where PROTECT INTELLECTUAL PROPERTY ENDPOINT DLP COMPLY WITH BUSINESS PARTNER + OUTSIDER THREATS + INSIDER THREATS ADVANCED THREAT PROTECTION 20

21 Linking the What with the Where NETWORK DLP COMPLY WITH REGULATIONS CLOUD DLP DISCOVERY DLP 21

22 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

23 Next Generation Data Protection 23

24 Data is Everywhere 24

25 Data Protection is Everywhere

26 Questions? 26

27 Digital Guardian s Next Webinar 451 Research - Data Classification for Better Data Protection You can t protect what you don t understand Thursday, August 25, 11:00 AM ET Garrett Bekker - Senior Security Analyst 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

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