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Who is the next target proactive approaches to data security


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The landscape of threats to sensitive data is changing.  New technologies bring with them new vulnerabilities, and organizations like Target are failing to react properly to the shifts around them. What's needed is an approach equal to the persistent, advanced attacks companies face every day.  The sooner we start adopting the same proactive thinking hackers are using to get at our data, the better we will be able to protect it. 

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Who is the next target proactive approaches to data security

  1. 1. WHO IS THE NEXT TARGET?WHO IS THE NEXT TARGET? Proactive Approaches to Data Security Ulf Mattsson CTO, Protegrity
  2. 2. 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
  3. 3. 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
  4. 4. THE CHANGING THREAT LANDSCAPETHREAT LANDSCAPE 4 How have the methods of attack shifted?
  5. 5. Data Loss Worries IT Pros Most 5 Source: 2014 Trustwave Security Pressures Report
  6. 6. Data Loss Worries IT Pros Most 6 Source: 2014 Trustwave Security Pressures Report
  7. 7. “It’s clear the bad guys are winning at a faster rate than the good guys Security - We Are Losing Ground 7 Source: rate than the good guys are winning, and we’ve got to solve that.” - 2014 Verizon Data Breach Investigations Report
  8. 8. 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:
  9. 9. 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.”
  11. 11. 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."
  12. 12. 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: (Oct. 2012 - May 2013) 12
  13. 13. 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
  15. 15. 15
  16. 16. New Malware Source: 16
  17. 17. Total Malicious Signed Malware Source: 17
  18. 18. 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
  19. 19. US - Targeted Malware Top Threat 19 Source: 2014 Trustwave Security Pressures Report
  20. 20. 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: malware-in-wake-of-Target-breach 20
  21. 21. THE CHANGING TECHNOLOGYTECHNOLOGY LANDSCAPE What effect, if any, does the rise of “Big Data” have on breaches? 21
  22. 22. Has Your Organization Already Invested in Big Data? 22 Source: Gartner
  23. 23. Holes in Big Data… 23 Source: Gartner
  24. 24. Many Ways to Hack Big Data 24 Hackers & APT Rogue Privileged Users Unvetted Applications Or Ad Hoc Processes
  25. 25. 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: 25 HDFS (Hadoop Distributed File System) Hbase (Column DB) Avro(Serialization) Zookeeper(Coordination) Privileged Users
  26. 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. 27. TARGET DATA BREACHBREACH 27 What can we learn from the Target breach?
  28. 28. Target Breach Optioned as Sony Feature Film 28 Source:
  29. 29. 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
  30. 30. Target Data Breach, U.S. Secret Service & iSIGHT Target CIO Beth Jacob resigned 30
  31. 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. 32. 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 card-records-from-target-7000026299/ 32
  33. 33. 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
  34. 34. Who Is The Next Target? 34
  35. 35. 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: 35
  36. 36. THINKING LIKE A HACKERHACKER How can we shift from reactive to proactive thinking? 36
  37. 37. The Modern Day Bank Robber 37
  38. 38. Current Breach Discovery Methods 38 Verizon 2013 Data-breach-investigations-report & 451 Research
  39. 39. 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
  40. 40. TURNING THE TIDE 40 What new technologies and techniques can be used to prevent future attacks?
  41. 41. What if a Social Security number or Credit Card NumberCredit Card Number in the Hands of a Criminal was Useless? 41
  43. 43. 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
  44. 44. 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
  45. 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. 46. 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 –
  47. 47. 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
  48. 48. 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 SSN 076-39-2778 076-28-3390 CC Number 3678 2289 3907 3378 3846 2290 3371 3378 Business URL 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. 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. 50. 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:
  51. 51. 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
  52. 52. 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
  53. 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. 54. Different Tokenization Approaches Property Dynamic Pre-generated Vaultless Vault-based 54
  55. 55. 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
  56. 56. 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?
  57. 57. Trend - Open Security Analytics Frameworks 57 Source: Enterprise Big Data Lake
  58. 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. 59. Thank you!Thank you! Questions? Please contact us for more information