BIG DATA CALLS FOR BIG SECURITY!

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1 BIG DATA CALLS FOR BIG SECURITY! Jason Rader - Chief Security Strategist, RSA Global Services RSA, The Security Division of EMC Session ID: DAS-W02 Session Classification: General Interest

2 Agenda Why Big Data? Security Concerns With Big Data Securing Big Data Wrap Up

3 Why Big Data?

4 Big Data Analytics is the Future! Big Data Not LOTS of data But many disparate sources with mixed structure Industry trends driving Big Data & Analytics Storage is cheap Anywhere computing Hardware capabilities

5 What Are Predictive Analytics? Deriving value from Big Data! Complexly Organizing the unorganized Data Mining, Modeling, Statistics, Machine Learning The search for leading indicators How do we use it? Business strategy Public safety (CDC,NOAA) Cyber Security To Predict the Future!

6 Who Uses Predictive Analytics Today? Investors! Massive historical data Lots of math The search for trends Execute trades! The next step? Implications of social media See through the corporate veil Now we can focus on the individual!

7 Predictive Analytics Now is the Time! Businesses have data coming out of their ears Huge shift from the past Unused data Can we find value? Business leaders must innovate Focus on business model innovation Predictive Analytics can drive this!

8 Security Concerns with Big Data

9 Big Data The Ecosystem Data Sources Storage & Rapid Processing Analytics Data Scientists & Analysts Derived Data

10 Payoff Big Data Can Make You a Target Amount of data

11 Big Data Can Create a Liability Using Big Data Analytics in Retail Implications: Gathered data is given willingly by users Data is aggregated with other sources Retailers run analytics that manifest trends/predictions Outcomes accurately predict the future Users get better product placement Retailers win loyal customers Not Singular pieces of data! It s the CORRELATION that matters

12 How The Bad Guys Can Use Big Data Hacking the Coca Cola formula Can you derive the formula? YES YOU CAN! Shipping/Receiving/Production data Think Crypto plaintext attack KFC would be harder, but possible! IP/Strategy Derivation Attackers can figure out your IP by looking at data sets you don t necessarily protect Macro trends repeat themselves over multiple sets of data, can I fill the gaps from missing data sets?

13 The Security Problem of Derived Data If I derive your PII, must I protect it? The Legal System is WAY behind Compliance might be farther Do I have to protect data from aggregation? EXIF Data Geotags Huge impact to business US = Case Law EU Privacy Updates

14 Securing Big Data

15 How to View Data and Analytics Secret Sauce Intellectual Property Software Vuln DB Corp Strategy Crown Jewels Easily Transferrable IP Actionable IP Encryption Keys COMPINT Defense Information Valuable to Competitors or Military Valuable to me Valuable if Lost Customer Analytics IT Configs Biz Processes Derivative Data Analytics for Sale Medical Records CC Data PII/PHI Data Unused Biz Data Disinformation Old Source Code Old IP Old/Retired Encryption Keys

16 Value The Value of Information Over Time Max Value Area under this curve = money for information owner WIP Time Information eventually becomes a liability

17 Big Data Securing the Lifecycle Data mapping Where does data live? What is the full lifecycle of data? Raw WIP Data product Disposal How is it used by the business? Common Practices Governance Separation of Duties/RBAC Compartmentalization

18 Big Data Securing The Ecosystem Data Sources Storage & Rapid Processing Analytics Data Scientists & Analysts Derived Data

19 Wrap Up

20 WHAT DID WE LEARN? Know the lifecycle of big data in your org Understand the risks in the ecosystem Understand the business uses and the value of data over time Have a policy on security of derived data Educate new roles in security (data scientists) Classification of data and data sources is key Consistently evaluate changes in operations for security implications

21 Questions?

22 THANK YOU! Jason

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