WHO IS THE NEXT TARGET?WHO IS THE NEXT TARGET?
Proactive Approaches to Data Security
Ulf Mattsson
CTO, Protegrity
Ulf.Mattsson@protegrity.com
Working with the Payment Card Industry Security Standards
Council (PCI SSC):
• PCI SSC Tokenization Task Force
• PCI SSC Encryption Task Force
• PCI SSC Point to Point Encryption Task Force
• PCI SSC Risk Assessment SIG
Ulf Mattsson & PCI Data Security Standards
• PCI SSC eCommerce SIG
• PCI SSC Cloud SIG
• PCI SSC Virtualization SIG
• PCI SSC Pre-Authorization SIG
• PCI SSC Scoping SIG
• PCI SSC 2013 – 2014 Tokenization Task Force
2
New threats and methods of attack
New technologies offer new vulnerabilities
Lessons learned from the Target breach
Topics
Lessons learned from the Target breach
The importance of proactive thinking
New technologies to properly secure data
3
THE CHANGING
THREAT LANDSCAPETHREAT LANDSCAPE
4
How have the methods of attack shifted?
Data Loss Worries IT Pros Most
5
Source: 2014 Trustwave Security Pressures Report
Data Loss Worries IT Pros Most
6
Source: 2014 Trustwave Security Pressures Report
“It’s clear the bad guys
are winning at a faster
rate than the good guys
Security - We Are Losing Ground
7
Source: searchsecurity.techtarget.com/news/2240215422/In-2014-DBIR-preview-Verizon-says-data-breach-response-gap-widening
rate than the good guys
are winning, and we’ve
got to solve that.”
- 2014 Verizon Data Breach Investigations Report
Security - We Are Losing Ground
“…Even though security
is improving, things are
getting worse faster, so
8
getting worse faster, so
we're losing ground
even as we improve.”
- Security expert Bruce Schneier
Source: http://www.businessinsider.com/bruce-schneier-apple-google-smartphone-security-2012-11
Security - We Are Losing Ground
“Cyber attack fallout
could cost the global
economy $3 trillion by
9
Source: McKinsey report on enterprise IT security implications released in January 2014.
economy $3 trillion by
2020.”
PRIME TARGETS FOR
DATA BREACHDATA BREACH
10
CIA and NSA Tell Utilities How To Up Cybersecurity
11
Source: Smart Grid News
The Bipartisan Policy Center (BPC) has published a new report titled
"Cybersecurity and the North American Electric Grid: New Policy Approaches to
Address an Evolving Threat."
The U.S. government's Industrial Control Systems Cyber
Emergency Response Team
Responded to more than 200 incidents
53% aimed at the energy sector.
So far, there have not been any successful catastrophic
attacks on the US energy grid
Energy Sector a Prime Target for Cyber Attacks
attacks on the US energy grid
Ongoing debate about the risk of a "cyber Pearl Harbor"
attack.
Source: www.csoonline.com/article/748580/energy-sector-a-prime-target-for-cyber-attacks
(Oct. 2012 - May 2013)
12
The global energy sector has become vulnerable to
cyber-attack
Increasingly adopting internet-based industrial
control systems in an effort to cut costs
The industry has yet to experience business
Energy Sector Faces Cyber-attack Threat: Marsh
interruption or physical damage as a result of a
cyber-attack
Being "disproportionately" targeted by increasingly
sophisticated hacker networks the broker
Source: 2014 Report, Insurance broker Marsh
13
BEWARE MALWAREBEWARE MALWARE
14
15
New Malware
Source: mcafee.com/us/resources/reports/rp-quarterly-threat-q3-2013.pdf
16
Total Malicious Signed Malware
Source: mcafee.com/us/resources/reports/rp-quarterly-threat-q3-2013.pdf
17
Targeted Malware Topped the Threats
18
62% said that the pressure to protect from data breaches also increased over the past year.
Source: 2014 Trustwave Security Pressures Report
US - Targeted Malware Top Threat
19
Source: 2014 Trustwave Security Pressures Report
FBI uncovered 20 cyber attacks against retailers in the
past year that utilized methods similar to Target incident
Believe POS malware crime will continue to grow over the
near term
Despite law enforcement and security firms' actions to
mitigate it
FBI Memory-Scraping Malware Warning
mitigate it
Report: “Recent Cyber Intrusion Events Directed Toward Retail Firms”
Source: searchsecurity.techtarget.com/news/2240213143/FBI-warns-of-memory-scraping-
malware-in-wake-of-Target-breach
20
THE CHANGING
TECHNOLOGYTECHNOLOGY
LANDSCAPE
What effect, if any, does the rise of “Big Data” have on breaches?
21
Has Your Organization Already Invested in Big Data?
22
Source: Gartner
Holes in Big Data…
23
Source: Gartner
Many Ways to Hack Big Data
24
Hackers
& APT
Rogue
Privileged
Users
Unvetted
Applications
Or
Ad Hoc
Processes
Many Ways to Hack Big Data
MapReduce
(Job Scheduling/Execution System)
Pig (Data Flow) Hive (SQL) Sqoop
ETL Tools BI Reporting RDBMS
Avro(Serialization)
Zookeeper(Coordination)
Hackers
Unvetted
Applications
Or
Ad Hoc
Processes
Source: http://nosql.mypopescu.com/post/1473423255/apache-hadoop-and-hbase
25
HDFS
(Hadoop Distributed File System)
Hbase (Column DB)
Avro(Serialization)
Zookeeper(Coordination)
Privileged
Users
Big Data (Hadoop) was designed for data access,
not security
Security in a read-only environment introduces new
challenges
Massive scalability and performance requirements
Big Data Vulnerabilities and Concerns
Sensitive data regulations create a barrier to
usability, as data cannot be stored or transferred in
the clear
Transparency and data insight are required for ROI
on Big Data
26
TARGET DATA
BREACHBREACH
27
What can we learn from the Target breach?
Target Breach Optioned as Sony Feature Film
28
Source: Welivesecurity.com
Target Corp. said in its annual report that a massive
security breach has hurt its image and business,
while spawning dozens of legal actions, and it
noted it can't estimate how big the financial tab will
end up being
Security software picked up on suspicious activity
Target Says It Ignored Early Signs of Data Breach
Security software picked up on suspicious activity
after a cyberattack was launched, but it decided not
to take immediate action
Received security alerts on Nov. 30 that indicated
malicious software had appeared in its network
Source: SEC (Securities and Exchange Commission )
29
Target Data Breach, U.S. Secret Service & iSIGHT
Target CIO Beth Jacob
resigned
30
Memory Scraping Malware – Target Breach
Payment Card
Terminal
Point Of Sale Application
Memory Scraping Malware
Authorization,
Settlement
…
Web Server
Memory Scraping Malware
Russia
31
Credentials were stolen from Fazio Mechanical in a malware-
injecting phishing attack sent to employees of the firm by
email
• Resulted in the theft of at least 40 million customer records containing
financial data such as debit and credit card information.
• In addition, roughly 70 million accounts were compromised that
included addresses and mobile numbers.
The data theft was caused by the installation of malware on
How The Breach at Target Went Down
the firm's point of sale machines
The subsequent file dump containing customer data is
reportedly flooding the black market
• Starting point for the manufacture of fake bank cards, or provide data
required for identity theft.
Source: Brian Krebs and www.zdnet.com/how-hackers-stole-millions-of-credit-
card-records-from-target-7000026299/
32
The FTC is probing the massive hack of credit card
information
Target could face federal charges for failing to
protect its customers' data from hackers
When you see a data breach of this size with clear
harm to consumers, it's clearly something that the
Target May Face Federal Suit Over Privacy Fumble
harm to consumers, it's clearly something that the
FTC would be interested in looking at," said Jon
Leibowitz, a former FTC chairman
Sen. Richard Blumenthal, a Connecticut Democrat,
urged the FTC to investigate the Target hack soon
after it became public in December
Source: Bloomberg Businessweek
33
Who Is The Next Target?
34
It’s not like other businesses are using some
special network security practices that Target
doesn’t know about.
They just haven’t been hit yet.
No number of traps, bars, or alarms will keep out
the determined thief
Source: www.govtech.com/security
35
THINKING LIKE A
HACKERHACKER
How can we shift from reactive to proactive thinking?
36
The Modern Day Bank Robber
37
Current Breach Discovery Methods
38
Verizon 2013 Data-breach-investigations-report & 451 Research
You must assume the systems will be breached.
Once breached, how do you know you've been compromised?
You have to baseline and understand what 'goodness' looks like
and look for deviations from goodness
McAfee and Symantec can't tell you what normal looks like in your
own systems.
Only monitoring anomalies can do that
CISOs say SIEM Not Good for Security Analytics
Only monitoring anomalies can do that
Monitoring could be focused on a variety of network and end-user
activities, including network flow data, file activity and even going
all the way down to the packets
Source: 2014 RSA Conference, moderator Neil MacDonald, vice president at Gartner
39
TURNING THE TIDE
40
What new technologies and techniques can be used to
prevent future attacks?
What if a
Social Security number or
Credit Card NumberCredit Card Number
in the Hands of a Criminal
was Useless?
41
COMPLIANCE
VS.
SECURITYSECURITY
42
Target was certified as meeting the standard for the
payment card industry in September 2013
Compliance can protect us from liability, but
whether it actually protects us from loss of business
and loss of data is not so clear
Compliance is a minimal deterrent that everyone
Target Breach Lesson: PCI Compliance Isn't Enough
Compliance is a minimal deterrent that everyone
has to have in place
If you're driving a car, you're expected to have a
driver's license. That doesn't make you a safe driver
Source: TechNewsWorld
43
Protection of cardholder data in memory
Clarification of key management dual control and split
knowledge
Recommendations on making PCI DSS business-as-
usual and best practices
Security policy and operational procedures added
PCI DSS 3.0
Security policy and operational procedures added
Increased password strength
New requirements for point-of-sale terminal security
More robust requirements for penetration testing
44
Coarse Grained Security
• Access Controls
• Volume Encryption
• File Encryption
Fine Grained Security
Evolution of Data Security Methods
Time
Fine Grained Security
• Access Controls
• Field Encryption (AES & )
• Masking
• Tokenization
• Vaultless Tokenization
45
Old and flawed:
Minimal access
levels so people
can only carry
Access Control
Risk
High –
can only carry
out their jobs
46
Access
Privilege
Level
I
High
I
Low
Low –
Applying the
Protection Profile to the
Structure of each
Sensitive Data Fields allows forSensitive Data Fields allows for
a Wider Range
of Granular Authority Options
47
Examples: De-Identified Sensitive Data
Field Real Data Tokenized / Pseudonymized
Name Joe Smith csu wusoj
Address 100 Main Street, Pleasantville, CA 476 srta coetse, cysieondusbak, CA
Date of Birth 12/25/1966 01/02/1966
Telephone 760-278-3389 760-389-2289
E-Mail Address joe.smith@surferdude.org eoe.nwuer@beusorpdqo.org
SSN 076-39-2778 076-28-3390
CC Number 3678 2289 3907 3378 3846 2290 3371 3378
Business URL www.surferdude.com www.sheyinctao.com
Fingerprint Encrypted
Photo Encrypted
X-Ray Encrypted
Healthcare /
Financial
Services
Dr. visits, prescriptions, hospital stays
and discharges, clinical, billing, etc.
Financial Services Consumer Products
and activities
Protection methods can be equally
applied to the actual data, but not
needed with de-identification
48
Risk
High –
Old:
Minimal access
levels – Least
New :
Much greater
The New Data Protection - Tokenization
Access
Privilege
Level
I
High
I
Low
Low –
levels – Least
Privilege to avoid
high risks
Much greater
flexibility and
lower risk in data
accessibility
49
Tokenization Research
Tokenization Gets Traction
Aberdeen has seen a steady increase in enterprise
use of tokenization for protecting sensitive data over
encryption
Nearly half of the respondents (47%) are currently
using tokenization for something other than cardholder
data
Tokenization users had 50% fewer security-related
incidents than tokenization non-users
50
Source: http://www.protegrity.com/2012/08/tokenization-gets-traction-from-aberdeen/
Security of Different Protection Methods
High
Security Level
I
Format
Preserving
Encryption
I
Vaultless
Data
Tokenization
I
AES CBC
Encryption
Standard
I
Basic
Data
Tokenization
51
Low
Fine Grained Data Security Methods
Tokenization and Encryption are Different
Used Approach Cipher System Code System
Cryptographic algorithms
Cryptographic keys
TokenizationEncryption
52
Cryptographic keys
Code books
Index tokens
Source: McGraw-HILL ENCYPLOPEDIA OF SCIENCE & TECHNOLOGY
10 000 000 -
1 000 000 -
100 000 -
10 000 -
Transactions per second*
Speed of Different Protection Methods
10 000 -
1 000 -
100 -
I
Format
Preserving
Encryption
I
Vaultless
Data
Tokenization
I
AES CBC
Encryption
Standard
I
Vault-based
Data
Tokenization
*: Speed will depend on the configuration
53
Different Tokenization Approaches
Property Dynamic Pre-generated Vaultless
Vault-based
54
Use
Case
How Should I Secure Different Data?
Simple – PCI
PII
Encryption
of Files
Card
Holder
Data
Tokenization
of Fields
Personally Identifiable Information
Type of
Data
I
Structured
I
Un-structured
Complex – PHI
Protected
Health
Information
55
Personally Identifiable Information
Use Big Data to Analyze Abnormal Usage Pattern
Payment Card
Terminal
Point Of Sale Application
Memory Scraping Malware
Authorization,
Settlement
…
Web Server
Memory Scraping Malware
Moscow, Russia
FireEye
Malware?
Trend - Open Security Analytics Frameworks
57 Source: Emc.com/collateral/white-paper/h12878-rsa-pivotal-security-big-data-reference-architecture
Enterprise Big Data Lake
Conclusions
Changing threat landscape & challenges to secure data:
• Attackers are looking for not just payment data – a more serious problem.
• IDS systems are lacking context needed to catch data theft
• SIEM detection is too slow in handling large amounts of events.
What happened at Target?
• Modern customized malware can be very hard to detect
58
• They were compliant, but not secure
How can we prevent what happened to Target and the next attack
against our sensitive data?
• Assume that we are under attack - proactive protection of the data itself
• We need to analyze event information and context to catch modern attackers
• The Oracle Big Data Appliance can provide the foundation for solving this problem
Thank you!Thank you!
Questions?
Please contact us for more information
http://www.protegrity.com/news-resources/collateral/
Ulf.Mattsson@protegrity.com

Who is the next target proactive approaches to data security

  • 1.
    WHO IS THENEXT TARGET?WHO IS THE NEXT TARGET? Proactive Approaches to Data Security Ulf Mattsson CTO, Protegrity Ulf.Mattsson@protegrity.com
  • 2.
    Working with thePayment Card Industry Security Standards Council (PCI SSC): • PCI SSC Tokenization Task Force • PCI SSC Encryption Task Force • PCI SSC Point to Point Encryption Task Force • PCI SSC Risk Assessment SIG Ulf Mattsson & PCI Data Security Standards • PCI SSC eCommerce SIG • PCI SSC Cloud SIG • PCI SSC Virtualization SIG • PCI SSC Pre-Authorization SIG • PCI SSC Scoping SIG • PCI SSC 2013 – 2014 Tokenization Task Force 2
  • 3.
    New threats andmethods of attack New technologies offer new vulnerabilities Lessons learned from the Target breach Topics Lessons learned from the Target breach The importance of proactive thinking New technologies to properly secure data 3
  • 4.
    THE CHANGING THREAT LANDSCAPETHREATLANDSCAPE 4 How have the methods of attack shifted?
  • 5.
    Data Loss WorriesIT Pros Most 5 Source: 2014 Trustwave Security Pressures Report
  • 6.
    Data Loss WorriesIT Pros Most 6 Source: 2014 Trustwave Security Pressures Report
  • 7.
    “It’s clear thebad guys are winning at a faster rate than the good guys Security - We Are Losing Ground 7 Source: searchsecurity.techtarget.com/news/2240215422/In-2014-DBIR-preview-Verizon-says-data-breach-response-gap-widening rate than the good guys are winning, and we’ve got to solve that.” - 2014 Verizon Data Breach Investigations Report
  • 8.
    Security - WeAre Losing Ground “…Even though security is improving, things are getting worse faster, so 8 getting worse faster, so we're losing ground even as we improve.” - Security expert Bruce Schneier Source: http://www.businessinsider.com/bruce-schneier-apple-google-smartphone-security-2012-11
  • 9.
    Security - WeAre Losing Ground “Cyber attack fallout could cost the global economy $3 trillion by 9 Source: McKinsey report on enterprise IT security implications released in January 2014. economy $3 trillion by 2020.”
  • 10.
    PRIME TARGETS FOR DATABREACHDATA BREACH 10
  • 11.
    CIA and NSATell Utilities How To Up Cybersecurity 11 Source: Smart Grid News The Bipartisan Policy Center (BPC) has published a new report titled "Cybersecurity and the North American Electric Grid: New Policy Approaches to Address an Evolving Threat."
  • 12.
    The U.S. government'sIndustrial Control Systems Cyber Emergency Response Team Responded to more than 200 incidents 53% aimed at the energy sector. So far, there have not been any successful catastrophic attacks on the US energy grid Energy Sector a Prime Target for Cyber Attacks attacks on the US energy grid Ongoing debate about the risk of a "cyber Pearl Harbor" attack. Source: www.csoonline.com/article/748580/energy-sector-a-prime-target-for-cyber-attacks (Oct. 2012 - May 2013) 12
  • 13.
    The global energysector has become vulnerable to cyber-attack Increasingly adopting internet-based industrial control systems in an effort to cut costs The industry has yet to experience business Energy Sector Faces Cyber-attack Threat: Marsh interruption or physical damage as a result of a cyber-attack Being "disproportionately" targeted by increasingly sophisticated hacker networks the broker Source: 2014 Report, Insurance broker Marsh 13
  • 14.
  • 15.
  • 16.
  • 17.
    Total Malicious SignedMalware Source: mcafee.com/us/resources/reports/rp-quarterly-threat-q3-2013.pdf 17
  • 18.
    Targeted Malware Toppedthe Threats 18 62% said that the pressure to protect from data breaches also increased over the past year. Source: 2014 Trustwave Security Pressures Report
  • 19.
    US - TargetedMalware Top Threat 19 Source: 2014 Trustwave Security Pressures Report
  • 20.
    FBI uncovered 20cyber attacks against retailers in the past year that utilized methods similar to Target incident Believe POS malware crime will continue to grow over the near term Despite law enforcement and security firms' actions to mitigate it FBI Memory-Scraping Malware Warning mitigate it Report: “Recent Cyber Intrusion Events Directed Toward Retail Firms” Source: searchsecurity.techtarget.com/news/2240213143/FBI-warns-of-memory-scraping- malware-in-wake-of-Target-breach 20
  • 21.
    THE CHANGING TECHNOLOGYTECHNOLOGY LANDSCAPE What effect,if any, does the rise of “Big Data” have on breaches? 21
  • 22.
    Has Your OrganizationAlready Invested in Big Data? 22 Source: Gartner
  • 23.
    Holes in BigData… 23 Source: Gartner
  • 24.
    Many Ways toHack Big Data 24 Hackers & APT Rogue Privileged Users Unvetted Applications Or Ad Hoc Processes
  • 25.
    Many Ways toHack Big Data MapReduce (Job Scheduling/Execution System) Pig (Data Flow) Hive (SQL) Sqoop ETL Tools BI Reporting RDBMS Avro(Serialization) Zookeeper(Coordination) Hackers Unvetted Applications Or Ad Hoc Processes Source: http://nosql.mypopescu.com/post/1473423255/apache-hadoop-and-hbase 25 HDFS (Hadoop Distributed File System) Hbase (Column DB) Avro(Serialization) Zookeeper(Coordination) Privileged Users
  • 26.
    Big Data (Hadoop)was designed for data access, not security Security in a read-only environment introduces new challenges Massive scalability and performance requirements Big Data Vulnerabilities and Concerns Sensitive data regulations create a barrier to usability, as data cannot be stored or transferred in the clear Transparency and data insight are required for ROI on Big Data 26
  • 27.
    TARGET DATA BREACHBREACH 27 What canwe learn from the Target breach?
  • 28.
    Target Breach Optionedas Sony Feature Film 28 Source: Welivesecurity.com
  • 29.
    Target Corp. saidin its annual report that a massive security breach has hurt its image and business, while spawning dozens of legal actions, and it noted it can't estimate how big the financial tab will end up being Security software picked up on suspicious activity Target Says It Ignored Early Signs of Data Breach Security software picked up on suspicious activity after a cyberattack was launched, but it decided not to take immediate action Received security alerts on Nov. 30 that indicated malicious software had appeared in its network Source: SEC (Securities and Exchange Commission ) 29
  • 30.
    Target Data Breach,U.S. Secret Service & iSIGHT Target CIO Beth Jacob resigned 30
  • 31.
    Memory Scraping Malware– Target Breach Payment Card Terminal Point Of Sale Application Memory Scraping Malware Authorization, Settlement … Web Server Memory Scraping Malware Russia 31
  • 32.
    Credentials were stolenfrom Fazio Mechanical in a malware- injecting phishing attack sent to employees of the firm by email • Resulted in the theft of at least 40 million customer records containing financial data such as debit and credit card information. • In addition, roughly 70 million accounts were compromised that included addresses and mobile numbers. The data theft was caused by the installation of malware on How The Breach at Target Went Down the firm's point of sale machines The subsequent file dump containing customer data is reportedly flooding the black market • Starting point for the manufacture of fake bank cards, or provide data required for identity theft. Source: Brian Krebs and www.zdnet.com/how-hackers-stole-millions-of-credit- card-records-from-target-7000026299/ 32
  • 33.
    The FTC isprobing the massive hack of credit card information Target could face federal charges for failing to protect its customers' data from hackers When you see a data breach of this size with clear harm to consumers, it's clearly something that the Target May Face Federal Suit Over Privacy Fumble harm to consumers, it's clearly something that the FTC would be interested in looking at," said Jon Leibowitz, a former FTC chairman Sen. Richard Blumenthal, a Connecticut Democrat, urged the FTC to investigate the Target hack soon after it became public in December Source: Bloomberg Businessweek 33
  • 34.
    Who Is TheNext Target? 34
  • 35.
    It’s not likeother businesses are using some special network security practices that Target doesn’t know about. They just haven’t been hit yet. No number of traps, bars, or alarms will keep out the determined thief Source: www.govtech.com/security 35
  • 36.
    THINKING LIKE A HACKERHACKER Howcan we shift from reactive to proactive thinking? 36
  • 37.
    The Modern DayBank Robber 37
  • 38.
    Current Breach DiscoveryMethods 38 Verizon 2013 Data-breach-investigations-report & 451 Research
  • 39.
    You must assumethe systems will be breached. Once breached, how do you know you've been compromised? You have to baseline and understand what 'goodness' looks like and look for deviations from goodness McAfee and Symantec can't tell you what normal looks like in your own systems. Only monitoring anomalies can do that CISOs say SIEM Not Good for Security Analytics Only monitoring anomalies can do that Monitoring could be focused on a variety of network and end-user activities, including network flow data, file activity and even going all the way down to the packets Source: 2014 RSA Conference, moderator Neil MacDonald, vice president at Gartner 39
  • 40.
    TURNING THE TIDE 40 Whatnew technologies and techniques can be used to prevent future attacks?
  • 41.
    What if a SocialSecurity number or Credit Card NumberCredit Card Number in the Hands of a Criminal was Useless? 41
  • 42.
  • 43.
    Target was certifiedas meeting the standard for the payment card industry in September 2013 Compliance can protect us from liability, but whether it actually protects us from loss of business and loss of data is not so clear Compliance is a minimal deterrent that everyone Target Breach Lesson: PCI Compliance Isn't Enough Compliance is a minimal deterrent that everyone has to have in place If you're driving a car, you're expected to have a driver's license. That doesn't make you a safe driver Source: TechNewsWorld 43
  • 44.
    Protection of cardholderdata in memory Clarification of key management dual control and split knowledge Recommendations on making PCI DSS business-as- usual and best practices Security policy and operational procedures added PCI DSS 3.0 Security policy and operational procedures added Increased password strength New requirements for point-of-sale terminal security More robust requirements for penetration testing 44
  • 45.
    Coarse Grained Security •Access Controls • Volume Encryption • File Encryption Fine Grained Security Evolution of Data Security Methods Time Fine Grained Security • Access Controls • Field Encryption (AES & ) • Masking • Tokenization • Vaultless Tokenization 45
  • 46.
    Old and flawed: Minimalaccess levels so people can only carry Access Control Risk High – can only carry out their jobs 46 Access Privilege Level I High I Low Low –
  • 47.
    Applying the Protection Profileto the Structure of each Sensitive Data Fields allows forSensitive Data Fields allows for a Wider Range of Granular Authority Options 47
  • 48.
    Examples: De-Identified SensitiveData Field Real Data Tokenized / Pseudonymized Name Joe Smith csu wusoj Address 100 Main Street, Pleasantville, CA 476 srta coetse, cysieondusbak, CA Date of Birth 12/25/1966 01/02/1966 Telephone 760-278-3389 760-389-2289 E-Mail Address joe.smith@surferdude.org eoe.nwuer@beusorpdqo.org SSN 076-39-2778 076-28-3390 CC Number 3678 2289 3907 3378 3846 2290 3371 3378 Business URL www.surferdude.com www.sheyinctao.com Fingerprint Encrypted Photo Encrypted X-Ray Encrypted Healthcare / Financial Services Dr. visits, prescriptions, hospital stays and discharges, clinical, billing, etc. Financial Services Consumer Products and activities Protection methods can be equally applied to the actual data, but not needed with de-identification 48
  • 49.
    Risk High – Old: Minimal access levels– Least New : Much greater The New Data Protection - Tokenization Access Privilege Level I High I Low Low – levels – Least Privilege to avoid high risks Much greater flexibility and lower risk in data accessibility 49
  • 50.
    Tokenization Research Tokenization GetsTraction Aberdeen has seen a steady increase in enterprise use of tokenization for protecting sensitive data over encryption Nearly half of the respondents (47%) are currently using tokenization for something other than cardholder data Tokenization users had 50% fewer security-related incidents than tokenization non-users 50 Source: http://www.protegrity.com/2012/08/tokenization-gets-traction-from-aberdeen/
  • 51.
    Security of DifferentProtection Methods High Security Level I Format Preserving Encryption I Vaultless Data Tokenization I AES CBC Encryption Standard I Basic Data Tokenization 51 Low
  • 52.
    Fine Grained DataSecurity Methods Tokenization and Encryption are Different Used Approach Cipher System Code System Cryptographic algorithms Cryptographic keys TokenizationEncryption 52 Cryptographic keys Code books Index tokens Source: McGraw-HILL ENCYPLOPEDIA OF SCIENCE & TECHNOLOGY
  • 53.
    10 000 000- 1 000 000 - 100 000 - 10 000 - Transactions per second* Speed of Different Protection Methods 10 000 - 1 000 - 100 - I Format Preserving Encryption I Vaultless Data Tokenization I AES CBC Encryption Standard I Vault-based Data Tokenization *: Speed will depend on the configuration 53
  • 54.
    Different Tokenization Approaches PropertyDynamic Pre-generated Vaultless Vault-based 54
  • 55.
    Use Case How Should ISecure Different Data? Simple – PCI PII Encryption of Files Card Holder Data Tokenization of Fields Personally Identifiable Information Type of Data I Structured I Un-structured Complex – PHI Protected Health Information 55 Personally Identifiable Information
  • 56.
    Use Big Datato Analyze Abnormal Usage Pattern Payment Card Terminal Point Of Sale Application Memory Scraping Malware Authorization, Settlement … Web Server Memory Scraping Malware Moscow, Russia FireEye Malware?
  • 57.
    Trend - OpenSecurity Analytics Frameworks 57 Source: Emc.com/collateral/white-paper/h12878-rsa-pivotal-security-big-data-reference-architecture Enterprise Big Data Lake
  • 58.
    Conclusions Changing threat landscape& challenges to secure data: • Attackers are looking for not just payment data – a more serious problem. • IDS systems are lacking context needed to catch data theft • SIEM detection is too slow in handling large amounts of events. What happened at Target? • Modern customized malware can be very hard to detect 58 • They were compliant, but not secure How can we prevent what happened to Target and the next attack against our sensitive data? • Assume that we are under attack - proactive protection of the data itself • We need to analyze event information and context to catch modern attackers • The Oracle Big Data Appliance can provide the foundation for solving this problem
  • 59.
    Thank you!Thank you! Questions? Pleasecontact us for more information http://www.protegrity.com/news-resources/collateral/ Ulf.Mattsson@protegrity.com