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Action Items for the
Financial Industry:
Addressing fraud and privacy
issues in Hadoop
May 1, 2014
Our Speakers
Jeremy Stieglitz
VP Product Management
Dataguise
Dale Kim
Director, Industry Solutions
MapR Technologies
5 Action Items for the Financial Services Industry – April 2014 2
Executive Summary
 Big Data has become priority #1 for
finance and large enterprise in 2014:
– Faster time to insights
– Increasingly touching $$$
– Real-time, Automation and On Demand
 Key challenges on Big Data
– Leveraging sensitive assets
– Automating protection techniques
– Maintaining high performance
– Ensuring scalability
5 Action Items for the Financial Services Industry – April 2014 3
Agenda
 Market overview: Hadoop in Financial Services
 Solution priorities
 5 action items
– Strategize – develop concrete goals
– Automate, automate, automate
– Foresee high rates of innovation
– Expand your community
– Explore the technology landscape
5 Action Items for the Financial Services Industry – April 2014 4
5
Market
Overview
Hadoop in Financial Services
5 Action Items for the Financial Services Industry – April 2014 6
Hadoop addresses:
• Scale
• Infrastructure costs
• Anomaly detection
• Data archiving for
compliance
• Aggregated risk
• Data protection
• Etc.
Risk
Market Uncertainty
Regulations
Costs
Fraud
Security Attacks
Big Data
Business Challenge: Data Growth
 100% growth and 80% unstructured data by 2015
…finding and classifying sensitive data will get
harder
7
Exabytes
5 Action Items for the Financial Services Industry – April 2014
Compliance Universe
5 Action Items for the Financial Services Industry – April 2014
• Sarbanes-Oxley
• Frank-Dodd
• PCI-DSS
• HIPAA
• State Data Breach Laws (CA SB 1386)
• Data Privacy (International)
• EU Data Protection Directive
• Singapore Personal Data Protection Act
• Canadian Personal Information Protection
and Electronic Documents Act (PIPEDA)
• Germany’s Federal Data Protection Act
(BDSG)
• Great Britain Data Protection Act
• Data Privacy (USA)
• Ohio 1347.15
• California SB 1386
• Massachusetts Data Privacy Law
• Financial
• Basel III
• Gramm-Leach-Bliley Act (GLBA)
• J-SOX
• Technology Risk Management
Guidelines
• Health/Pharmaceutical
• NAIC Model Audit Rule (MAR)
• 21 CFR Part 11 (FDA)
• Energy
• North American Electric Reliability
Corp (NERC)
• Federal Energy Regulatory
Commission Regulations (FERC)
• Service Providers
• Statement on Auditing Standards
(SAS 70)
• Education
• Family Educational Rights and Privacy
Act (FERPA)
• Federal Information Security Management
Act (FISMA)
63 countries, 1200+ laws
5 Action Items for the Financial Services Industry – April 2014 9
9
Solution
Priorities
Solution Priorities
Performance
Compute Memory
Network I/ODisk
Software
If you skimp on
one, you impact
performance
5 Action Items for the Financial Services Industry – April 2014
Solution Priorities
Scale
Plan for growth,
beyond your simple
projections:
• Longer time
windows of data
• New data sources
• New use cases
5 Action Items for the Financial Services Industry – April 2014
Solution Priorities
Reliability Plan ahead with all
the right people --
devops, sys admins,
application
developers, etc.
5 Action Items for the Financial Services Industry – April 2014
Hadoop Security Framework
Perimeter
Guarding access to the
cluster itself
Technical Concepts:
Authentication
Network isolation
Data
Protecting data in the
cluster from
unauthorized visibility
Technical Concepts:
Encryption, Tokenization,
Data masking
 The 4 approaches to address security within Hadoop (Perimeter,
Data, Access, Visibility)
 MapR provides true multi-tenant Hadoop, along with authentication/
authorization controls
 Dataguise discovers & protects at the data layer and provides visibility
for audit reporting and data lineage
Perimeter
Guarding access to the
cluster itself
Technical Concepts:
Authentication
Network isolation
Access
Defining what users
and applications can do
with data
Technical Concepts:
Permissions
Authorization
Visibility
Reporting on where
data came from and
how it’s being used
Technical Concepts:
Auditing
Lineage
5 Action Items for the Financial Services Industry – April 2014
5 Actions You Should Take
5 Action Items for the Financial Services Industry – April 2014 14
#1: Strategize – Develop Concrete Goals
 Are you prepared for production?
– Expect stringent SLAs
– Plan for performance, scale, reliability,
and data security
 Additional use cases?
– Do not limit your possibilities
– Hadoop deployments typically handle
multiple business problems
 The ‘Aha’ vs. ‘Gotcha’ moment
5 Action Items for the Financial Services Industry – April 2014 15
#2: Automate, Automate, Automate
– Keep up with data growth
– Simplify critical tasks
– Reduce the risk of error with manual effort
Your Data will grow 6000% in six years. Your headcount will grow 1.5x
5 Action Items for the Financial Services Industry – April 2014
Payment Risk Management
at Major Credit Card Brand
 Multiple business apps: fraud
detection, risk analytics, cross sell
 High degree of automation
 “Silver”, “Gold” and “Platinum”
Hadoop domains with increasing
lockdown of customer data
17
“Our analytics business
draws on the
purchasing data of its
90 million credit card
holders across 127
countries.”
5 Action Items for the Financial Services Industry – April 2014
Hadoop
Payment Risk Management
at Major Credit Card Brand
Customer uses SFTP and
NFS to load data into
Hadoop. All data loaded
in the clear.
Dataguise masking runs as
MapReduce JAR (automatically, with
no programming required).
HDFS “Gold” Cluster
Any incremental updates to HDFS are
automatically protected. Credit card
firm uses access control to determine
access to private data
Dataguise masking
guarantees consistency
between sensitive
elements, ensuring credit
card group can run same
statistical distribution and
analytics without
exposure risk
u v
w
Omniture FilesCredit Card
Transactions (txt)
NFS copy
SFTP
HDFS Cluster “Silver”
x
Source Data
5 Action Items for the Financial Services Industry – April 2014
#3: Foresee High Rates of Innovation
 Hadoop benefits from many new innovations:
{Falcon, Kite, Storm, Mesos, Drill, Impala, Spark,
Shark, etc.}
 Design non-blocking technical choices
(especially in areas of high velocity).
– Many files formats you can use (txt, Snappy, Avro,
SequenceFile, RC, ORC, etc.)
– Make sure your security assumptions aren’t tied to
specific formats
5 Action Items for the Financial Services Industry – April 2014 19
#4: Expand Your Community
 Security is a “common good,” share ideas with:
– Different divisions at your firm
– Professionals in your network
– Competitors
 Who else are Hadoop/security experts?
– E-commerce
– Telecommunications
– Web 2.0
– Government
5 Action Items for the Financial Services Industry – April 2014
 Security analytics and fraud
detection
 Build statistical models to detect
fraud, and mine data to evaluate
suspicious activities
 Huge volumes of collected data to
identify fraud patterns required
massive scalability
Fraud Detection and Security Analytics
at Zions Bank
“We initially got into
centralizing all of our data
from an information
security perspective. We
then saw that we could
use this same environment
to help with fraud
detection.”
5 Action Items for the Financial Services Industry – April 2014
#5: Explore the Technology Landscape
• Deciding on the right technology is hard
• Undoing a bad decision is harder
• Talk to vendors, analysts, community
• Attend meet-ups, conferences
• Validate advice you get with proof points
5 Action Items for the Financial Services Industry – April 2014
MapR Distribution for Hadoop
BIG
DATA
BEST PRODUCT BUSINESS
IMPACT
Hadoop
Top Ranked
Production
Success
5 Action Items for the Financial Services Industry – April 2014
Dataguise: Market Leader in
Big Data Protective Intelligence (BDPI)
Only solution with Hadoop data
discovery
Best in class– data protection with
simplicity, scalability, and
automation
Business friendly to operators and
business analysts
24
5 Action Items for the Financial Services Industry – April 2014
Thank You
Jeremy Stieglitz
VP Product Management
jeremy@dataguise.com
Dale Kim
Director, Industry Solutions
dalekim@mapr.com
5 Action Items for the Financial Services Industry – April 2014 25

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Dataguise & MapR: Action Items for the Financial Industry

  • 1. Action Items for the Financial Industry: Addressing fraud and privacy issues in Hadoop May 1, 2014
  • 2. Our Speakers Jeremy Stieglitz VP Product Management Dataguise Dale Kim Director, Industry Solutions MapR Technologies 5 Action Items for the Financial Services Industry – April 2014 2
  • 3. Executive Summary  Big Data has become priority #1 for finance and large enterprise in 2014: – Faster time to insights – Increasingly touching $$$ – Real-time, Automation and On Demand  Key challenges on Big Data – Leveraging sensitive assets – Automating protection techniques – Maintaining high performance – Ensuring scalability 5 Action Items for the Financial Services Industry – April 2014 3
  • 4. Agenda  Market overview: Hadoop in Financial Services  Solution priorities  5 action items – Strategize – develop concrete goals – Automate, automate, automate – Foresee high rates of innovation – Expand your community – Explore the technology landscape 5 Action Items for the Financial Services Industry – April 2014 4
  • 6. Hadoop in Financial Services 5 Action Items for the Financial Services Industry – April 2014 6 Hadoop addresses: • Scale • Infrastructure costs • Anomaly detection • Data archiving for compliance • Aggregated risk • Data protection • Etc. Risk Market Uncertainty Regulations Costs Fraud Security Attacks Big Data
  • 7. Business Challenge: Data Growth  100% growth and 80% unstructured data by 2015 …finding and classifying sensitive data will get harder 7 Exabytes 5 Action Items for the Financial Services Industry – April 2014
  • 8. Compliance Universe 5 Action Items for the Financial Services Industry – April 2014 • Sarbanes-Oxley • Frank-Dodd • PCI-DSS • HIPAA • State Data Breach Laws (CA SB 1386) • Data Privacy (International) • EU Data Protection Directive • Singapore Personal Data Protection Act • Canadian Personal Information Protection and Electronic Documents Act (PIPEDA) • Germany’s Federal Data Protection Act (BDSG) • Great Britain Data Protection Act • Data Privacy (USA) • Ohio 1347.15 • California SB 1386 • Massachusetts Data Privacy Law • Financial • Basel III • Gramm-Leach-Bliley Act (GLBA) • J-SOX • Technology Risk Management Guidelines • Health/Pharmaceutical • NAIC Model Audit Rule (MAR) • 21 CFR Part 11 (FDA) • Energy • North American Electric Reliability Corp (NERC) • Federal Energy Regulatory Commission Regulations (FERC) • Service Providers • Statement on Auditing Standards (SAS 70) • Education • Family Educational Rights and Privacy Act (FERPA) • Federal Information Security Management Act (FISMA) 63 countries, 1200+ laws
  • 9. 5 Action Items for the Financial Services Industry – April 2014 9 9 Solution Priorities
  • 10. Solution Priorities Performance Compute Memory Network I/ODisk Software If you skimp on one, you impact performance 5 Action Items for the Financial Services Industry – April 2014
  • 11. Solution Priorities Scale Plan for growth, beyond your simple projections: • Longer time windows of data • New data sources • New use cases 5 Action Items for the Financial Services Industry – April 2014
  • 12. Solution Priorities Reliability Plan ahead with all the right people -- devops, sys admins, application developers, etc. 5 Action Items for the Financial Services Industry – April 2014
  • 13. Hadoop Security Framework Perimeter Guarding access to the cluster itself Technical Concepts: Authentication Network isolation Data Protecting data in the cluster from unauthorized visibility Technical Concepts: Encryption, Tokenization, Data masking  The 4 approaches to address security within Hadoop (Perimeter, Data, Access, Visibility)  MapR provides true multi-tenant Hadoop, along with authentication/ authorization controls  Dataguise discovers & protects at the data layer and provides visibility for audit reporting and data lineage Perimeter Guarding access to the cluster itself Technical Concepts: Authentication Network isolation Access Defining what users and applications can do with data Technical Concepts: Permissions Authorization Visibility Reporting on where data came from and how it’s being used Technical Concepts: Auditing Lineage 5 Action Items for the Financial Services Industry – April 2014
  • 14. 5 Actions You Should Take 5 Action Items for the Financial Services Industry – April 2014 14
  • 15. #1: Strategize – Develop Concrete Goals  Are you prepared for production? – Expect stringent SLAs – Plan for performance, scale, reliability, and data security  Additional use cases? – Do not limit your possibilities – Hadoop deployments typically handle multiple business problems  The ‘Aha’ vs. ‘Gotcha’ moment 5 Action Items for the Financial Services Industry – April 2014 15
  • 16. #2: Automate, Automate, Automate – Keep up with data growth – Simplify critical tasks – Reduce the risk of error with manual effort Your Data will grow 6000% in six years. Your headcount will grow 1.5x 5 Action Items for the Financial Services Industry – April 2014
  • 17. Payment Risk Management at Major Credit Card Brand  Multiple business apps: fraud detection, risk analytics, cross sell  High degree of automation  “Silver”, “Gold” and “Platinum” Hadoop domains with increasing lockdown of customer data 17 “Our analytics business draws on the purchasing data of its 90 million credit card holders across 127 countries.” 5 Action Items for the Financial Services Industry – April 2014
  • 18. Hadoop Payment Risk Management at Major Credit Card Brand Customer uses SFTP and NFS to load data into Hadoop. All data loaded in the clear. Dataguise masking runs as MapReduce JAR (automatically, with no programming required). HDFS “Gold” Cluster Any incremental updates to HDFS are automatically protected. Credit card firm uses access control to determine access to private data Dataguise masking guarantees consistency between sensitive elements, ensuring credit card group can run same statistical distribution and analytics without exposure risk u v w Omniture FilesCredit Card Transactions (txt) NFS copy SFTP HDFS Cluster “Silver” x Source Data 5 Action Items for the Financial Services Industry – April 2014
  • 19. #3: Foresee High Rates of Innovation  Hadoop benefits from many new innovations: {Falcon, Kite, Storm, Mesos, Drill, Impala, Spark, Shark, etc.}  Design non-blocking technical choices (especially in areas of high velocity). – Many files formats you can use (txt, Snappy, Avro, SequenceFile, RC, ORC, etc.) – Make sure your security assumptions aren’t tied to specific formats 5 Action Items for the Financial Services Industry – April 2014 19
  • 20. #4: Expand Your Community  Security is a “common good,” share ideas with: – Different divisions at your firm – Professionals in your network – Competitors  Who else are Hadoop/security experts? – E-commerce – Telecommunications – Web 2.0 – Government 5 Action Items for the Financial Services Industry – April 2014
  • 21.  Security analytics and fraud detection  Build statistical models to detect fraud, and mine data to evaluate suspicious activities  Huge volumes of collected data to identify fraud patterns required massive scalability Fraud Detection and Security Analytics at Zions Bank “We initially got into centralizing all of our data from an information security perspective. We then saw that we could use this same environment to help with fraud detection.” 5 Action Items for the Financial Services Industry – April 2014
  • 22. #5: Explore the Technology Landscape • Deciding on the right technology is hard • Undoing a bad decision is harder • Talk to vendors, analysts, community • Attend meet-ups, conferences • Validate advice you get with proof points 5 Action Items for the Financial Services Industry – April 2014
  • 23. MapR Distribution for Hadoop BIG DATA BEST PRODUCT BUSINESS IMPACT Hadoop Top Ranked Production Success 5 Action Items for the Financial Services Industry – April 2014
  • 24. Dataguise: Market Leader in Big Data Protective Intelligence (BDPI) Only solution with Hadoop data discovery Best in class– data protection with simplicity, scalability, and automation Business friendly to operators and business analysts 24 5 Action Items for the Financial Services Industry – April 2014
  • 25. Thank You Jeremy Stieglitz VP Product Management jeremy@dataguise.com Dale Kim Director, Industry Solutions dalekim@mapr.com 5 Action Items for the Financial Services Industry – April 2014 25