SlideShare une entreprise Scribd logo
1  sur  14
The Bad Guys
are Winning
Wade Baker, principal author of the Data Breach
Investigations Report (DBIR) series, says is that:
“After analyzing 10 years of data, we realize most
organizations cannot keep up with cybercrime – and
the bad guys are winning.”
"Attackers are getting quicker at compromising
systems over the past 10 years,"
"Less than 25 percent of good guys discovered these
incidents in days or less. This is not a good situation ...
The bad guys are winning at a faster rate than the good
guys are winning."
The Bad Guys
are Attacking
Your Data
Ram scraper [mal] 223
"RAM scrapers" went from a low #17 in 2012 and shoot
up the charts to a very concerning #4 spot in 2013.
Verizon’s 2014 Data Breach Investigations Report
Export data [mal] 327
“Export data" went from a low #7 in 2012 and shoot up
the charts to a very concerning #2 spot in 2013.
Verizon’s 2014 Data Breach Investigations Report
Capture stored data [mal] 133
“Stored data" went from a #4 in 2012 and to a less concerning
#9 spot in 2013
Verizon’s 2014 Data Breach Investigations Report
Privillege abuse [mis] 65
"Privilege abuse" went from a #14 in 2012 and to a less
concerning #17 spot in 2013
Verizon’s 2014 Data Breach Investigations Report
Capture stored data [mal] 133
My Conclusion: File Encryption is Not Helping
Verizon’s 2014 Data Breach Investigations Report
File encryption
Privillege abuse [mis] 65
My Conclusion: Database Monitoring will Not Help
Verizon’s 2014 Data Breach Investigations Report
Database Activity
Monitoring
Ram scraper [mal] 223
Export data [mal] 327
My Conclusion: Secure The Sensitive Data Flow
Verizon’s 2014 Data Breach Investigations Report
Data Tokenization
Data Tokenization
Attacking
Emerging
Platforms
Cloud and Big Data
Emerging Big Data and Cloud platforms are presenting new use cases that are requiring data
insight for analytics, high performance and scalability for Big Data platforms cannot be achieved
by old security approaches.
An important development was the addition of coarse-grained volume or file encryption will
only solve one problem, protecting data at rest, but considering one of the primary goals is
using the data, one might suggest that it provided little in the grand scheme of Data security.
Sensitive data in use for analytics, traveling between nodes, sent to other systems, or even just
being viewed is subject to full exposure.
What they’re seeking is advanced functionality equal to the task of balancing security and
regulatory compliance with data insights and data utility.
This balance is critical for Big Data and Cloud platforms.
Big Data
Big Data is introducing a new approach to collecting data by allowing unstructured data to be
blindly collected. In many cases we do not even know about all sensitive and regulated data
fields that are contained in these large data feeds.
Analysis of the content is often deferred to a later point in the process, to a stage when we are
starting to use the data for analytics.
New security approaches are required since Big Data is based on a new and different
architecture.
Then it is too late to go back and try to apply data security and compliance to regulations.
Conclusion
My view is that that we are now more concerned about attackers that are targeting
our data flow.
My view is that that we are now less concerned about attackers that are targeting our
stored data.
I think that file encryption will not stop the bad guys.
I found some good news in an interesting report from the Aberdeen Group that
revealed that "Over 12 months, data tokenization users had 50% fewer security-
related incidents (e.g., unauthorized access, data loss or data exposure than
tokenization non-users".
Nearly half of the respondents (47%) are currently using tokenization for something
other than cardholder data.
The name of the study is "Tokenization Gets Traction".

Contenu connexe

Plus de Ulf Mattsson

Evolving international privacy regulations and cross border data transfer - g...
Evolving international privacy regulations and cross border data transfer - g...Evolving international privacy regulations and cross border data transfer - g...
Evolving international privacy regulations and cross border data transfer - g...Ulf Mattsson
 
Data encryption and tokenization for international unicode
Data encryption and tokenization for international unicodeData encryption and tokenization for international unicode
Data encryption and tokenization for international unicodeUlf Mattsson
 
The future of data security and blockchain
The future of data security and blockchainThe future of data security and blockchain
The future of data security and blockchainUlf Mattsson
 
New technologies for data protection
New technologies for data protectionNew technologies for data protection
New technologies for data protectionUlf Mattsson
 
GDPR and evolving international privacy regulations
GDPR and evolving international privacy regulationsGDPR and evolving international privacy regulations
GDPR and evolving international privacy regulationsUlf Mattsson
 
Privacy preserving computing and secure multi-party computation ISACA Atlanta
Privacy preserving computing and secure multi-party computation ISACA AtlantaPrivacy preserving computing and secure multi-party computation ISACA Atlanta
Privacy preserving computing and secure multi-party computation ISACA AtlantaUlf Mattsson
 
Safeguarding customer and financial data in analytics and machine learning
Safeguarding customer and financial data in analytics and machine learningSafeguarding customer and financial data in analytics and machine learning
Safeguarding customer and financial data in analytics and machine learningUlf Mattsson
 
Protecting data privacy in analytics and machine learning ISACA London UK
Protecting data privacy in analytics and machine learning ISACA London UKProtecting data privacy in analytics and machine learning ISACA London UK
Protecting data privacy in analytics and machine learning ISACA London UKUlf Mattsson
 
New opportunities and business risks with evolving privacy regulations
New opportunities and business risks with evolving privacy regulationsNew opportunities and business risks with evolving privacy regulations
New opportunities and business risks with evolving privacy regulationsUlf Mattsson
 
What is tokenization in blockchain - BCS London
What is tokenization in blockchain - BCS LondonWhat is tokenization in blockchain - BCS London
What is tokenization in blockchain - BCS LondonUlf Mattsson
 
Protecting data privacy in analytics and machine learning - ISACA
Protecting data privacy in analytics and machine learning - ISACAProtecting data privacy in analytics and machine learning - ISACA
Protecting data privacy in analytics and machine learning - ISACAUlf Mattsson
 
What is tokenization in blockchain?
What is tokenization in blockchain?What is tokenization in blockchain?
What is tokenization in blockchain?Ulf Mattsson
 
Nov 2 security for blockchain and analytics ulf mattsson 2020 nov 2b
Nov 2 security for blockchain and analytics   ulf mattsson 2020 nov 2bNov 2 security for blockchain and analytics   ulf mattsson 2020 nov 2b
Nov 2 security for blockchain and analytics ulf mattsson 2020 nov 2bUlf Mattsson
 
Unlock the potential of data security 2020
Unlock the potential of data security 2020Unlock the potential of data security 2020
Unlock the potential of data security 2020Ulf Mattsson
 
What is tokenization in blockchain?
What is tokenization in blockchain?What is tokenization in blockchain?
What is tokenization in blockchain?Ulf Mattsson
 
Protecting Data Privacy in Analytics and Machine Learning
Protecting Data Privacy in Analytics and Machine LearningProtecting Data Privacy in Analytics and Machine Learning
Protecting Data Privacy in Analytics and Machine LearningUlf Mattsson
 
ISACA Houston - How to de-classify data and rethink transfer of data between ...
ISACA Houston - How to de-classify data and rethink transfer of data between ...ISACA Houston - How to de-classify data and rethink transfer of data between ...
ISACA Houston - How to de-classify data and rethink transfer of data between ...Ulf Mattsson
 
Isaca atlanta - practical data security and privacy
Isaca atlanta - practical data security and privacyIsaca atlanta - practical data security and privacy
Isaca atlanta - practical data security and privacyUlf Mattsson
 
ISACA Houston - Practical data privacy and de-identification techniques
ISACA Houston  - Practical data privacy and de-identification techniquesISACA Houston  - Practical data privacy and de-identification techniques
ISACA Houston - Practical data privacy and de-identification techniquesUlf Mattsson
 
Jul 16 isaca london data protection, security and privacy risks - on premis...
Jul 16 isaca london   data protection, security and privacy risks - on premis...Jul 16 isaca london   data protection, security and privacy risks - on premis...
Jul 16 isaca london data protection, security and privacy risks - on premis...Ulf Mattsson
 

Plus de Ulf Mattsson (20)

Evolving international privacy regulations and cross border data transfer - g...
Evolving international privacy regulations and cross border data transfer - g...Evolving international privacy regulations and cross border data transfer - g...
Evolving international privacy regulations and cross border data transfer - g...
 
Data encryption and tokenization for international unicode
Data encryption and tokenization for international unicodeData encryption and tokenization for international unicode
Data encryption and tokenization for international unicode
 
The future of data security and blockchain
The future of data security and blockchainThe future of data security and blockchain
The future of data security and blockchain
 
New technologies for data protection
New technologies for data protectionNew technologies for data protection
New technologies for data protection
 
GDPR and evolving international privacy regulations
GDPR and evolving international privacy regulationsGDPR and evolving international privacy regulations
GDPR and evolving international privacy regulations
 
Privacy preserving computing and secure multi-party computation ISACA Atlanta
Privacy preserving computing and secure multi-party computation ISACA AtlantaPrivacy preserving computing and secure multi-party computation ISACA Atlanta
Privacy preserving computing and secure multi-party computation ISACA Atlanta
 
Safeguarding customer and financial data in analytics and machine learning
Safeguarding customer and financial data in analytics and machine learningSafeguarding customer and financial data in analytics and machine learning
Safeguarding customer and financial data in analytics and machine learning
 
Protecting data privacy in analytics and machine learning ISACA London UK
Protecting data privacy in analytics and machine learning ISACA London UKProtecting data privacy in analytics and machine learning ISACA London UK
Protecting data privacy in analytics and machine learning ISACA London UK
 
New opportunities and business risks with evolving privacy regulations
New opportunities and business risks with evolving privacy regulationsNew opportunities and business risks with evolving privacy regulations
New opportunities and business risks with evolving privacy regulations
 
What is tokenization in blockchain - BCS London
What is tokenization in blockchain - BCS LondonWhat is tokenization in blockchain - BCS London
What is tokenization in blockchain - BCS London
 
Protecting data privacy in analytics and machine learning - ISACA
Protecting data privacy in analytics and machine learning - ISACAProtecting data privacy in analytics and machine learning - ISACA
Protecting data privacy in analytics and machine learning - ISACA
 
What is tokenization in blockchain?
What is tokenization in blockchain?What is tokenization in blockchain?
What is tokenization in blockchain?
 
Nov 2 security for blockchain and analytics ulf mattsson 2020 nov 2b
Nov 2 security for blockchain and analytics   ulf mattsson 2020 nov 2bNov 2 security for blockchain and analytics   ulf mattsson 2020 nov 2b
Nov 2 security for blockchain and analytics ulf mattsson 2020 nov 2b
 
Unlock the potential of data security 2020
Unlock the potential of data security 2020Unlock the potential of data security 2020
Unlock the potential of data security 2020
 
What is tokenization in blockchain?
What is tokenization in blockchain?What is tokenization in blockchain?
What is tokenization in blockchain?
 
Protecting Data Privacy in Analytics and Machine Learning
Protecting Data Privacy in Analytics and Machine LearningProtecting Data Privacy in Analytics and Machine Learning
Protecting Data Privacy in Analytics and Machine Learning
 
ISACA Houston - How to de-classify data and rethink transfer of data between ...
ISACA Houston - How to de-classify data and rethink transfer of data between ...ISACA Houston - How to de-classify data and rethink transfer of data between ...
ISACA Houston - How to de-classify data and rethink transfer of data between ...
 
Isaca atlanta - practical data security and privacy
Isaca atlanta - practical data security and privacyIsaca atlanta - practical data security and privacy
Isaca atlanta - practical data security and privacy
 
ISACA Houston - Practical data privacy and de-identification techniques
ISACA Houston  - Practical data privacy and de-identification techniquesISACA Houston  - Practical data privacy and de-identification techniques
ISACA Houston - Practical data privacy and de-identification techniques
 
Jul 16 isaca london data protection, security and privacy risks - on premis...
Jul 16 isaca london   data protection, security and privacy risks - on premis...Jul 16 isaca london   data protection, security and privacy risks - on premis...
Jul 16 isaca london data protection, security and privacy risks - on premis...
 

Dernier

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationRidwan Fadjar
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure servicePooja Nehwal
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Paola De la Torre
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 

Dernier (20)

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
My Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 PresentationMy Hashitalk Indonesia April 2024 Presentation
My Hashitalk Indonesia April 2024 Presentation
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure serviceWhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
WhatsApp 9892124323 ✓Call Girls In Kalyan ( Mumbai ) secure service
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 
Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101Salesforce Community Group Quito, Salesforce 101
Salesforce Community Group Quito, Salesforce 101
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 

Verizon 2014 data breach investigations report dbir - my view ext

  • 2. Wade Baker, principal author of the Data Breach Investigations Report (DBIR) series, says is that: “After analyzing 10 years of data, we realize most organizations cannot keep up with cybercrime – and the bad guys are winning.” "Attackers are getting quicker at compromising systems over the past 10 years," "Less than 25 percent of good guys discovered these incidents in days or less. This is not a good situation ... The bad guys are winning at a faster rate than the good guys are winning."
  • 3. The Bad Guys are Attacking Your Data
  • 4. Ram scraper [mal] 223 "RAM scrapers" went from a low #17 in 2012 and shoot up the charts to a very concerning #4 spot in 2013. Verizon’s 2014 Data Breach Investigations Report
  • 5. Export data [mal] 327 “Export data" went from a low #7 in 2012 and shoot up the charts to a very concerning #2 spot in 2013. Verizon’s 2014 Data Breach Investigations Report
  • 6. Capture stored data [mal] 133 “Stored data" went from a #4 in 2012 and to a less concerning #9 spot in 2013 Verizon’s 2014 Data Breach Investigations Report
  • 7. Privillege abuse [mis] 65 "Privilege abuse" went from a #14 in 2012 and to a less concerning #17 spot in 2013 Verizon’s 2014 Data Breach Investigations Report
  • 8. Capture stored data [mal] 133 My Conclusion: File Encryption is Not Helping Verizon’s 2014 Data Breach Investigations Report File encryption
  • 9. Privillege abuse [mis] 65 My Conclusion: Database Monitoring will Not Help Verizon’s 2014 Data Breach Investigations Report Database Activity Monitoring
  • 10. Ram scraper [mal] 223 Export data [mal] 327 My Conclusion: Secure The Sensitive Data Flow Verizon’s 2014 Data Breach Investigations Report Data Tokenization Data Tokenization
  • 12. Cloud and Big Data Emerging Big Data and Cloud platforms are presenting new use cases that are requiring data insight for analytics, high performance and scalability for Big Data platforms cannot be achieved by old security approaches. An important development was the addition of coarse-grained volume or file encryption will only solve one problem, protecting data at rest, but considering one of the primary goals is using the data, one might suggest that it provided little in the grand scheme of Data security. Sensitive data in use for analytics, traveling between nodes, sent to other systems, or even just being viewed is subject to full exposure. What they’re seeking is advanced functionality equal to the task of balancing security and regulatory compliance with data insights and data utility. This balance is critical for Big Data and Cloud platforms.
  • 13. Big Data Big Data is introducing a new approach to collecting data by allowing unstructured data to be blindly collected. In many cases we do not even know about all sensitive and regulated data fields that are contained in these large data feeds. Analysis of the content is often deferred to a later point in the process, to a stage when we are starting to use the data for analytics. New security approaches are required since Big Data is based on a new and different architecture. Then it is too late to go back and try to apply data security and compliance to regulations.
  • 14. Conclusion My view is that that we are now more concerned about attackers that are targeting our data flow. My view is that that we are now less concerned about attackers that are targeting our stored data. I think that file encryption will not stop the bad guys. I found some good news in an interesting report from the Aberdeen Group that revealed that "Over 12 months, data tokenization users had 50% fewer security- related incidents (e.g., unauthorized access, data loss or data exposure than tokenization non-users". Nearly half of the respondents (47%) are currently using tokenization for something other than cardholder data. The name of the study is "Tokenization Gets Traction".