Financial transactions need to be processed and stored securely and in real time. Together with a giant in the mortgage insurance industry, we have developed an elastic, secure, and compliant data processing framework on AWS that meets these processing requirements and drastically improves the time it takes to make a decision on a loan. This session will discuss what we've learned along the way, how we have overcome multiple security and compliance hurdles, and how other organizations in regulated industries can do the same. This session is targeted at business decision-makers and solutions architects working in regulated industries with high security and compliance requirements.

1. November 13, 2014 | Las Vegas, NV
Soofi Safavi, CTO Radian Inc
Sri Vasireddy, President REAN Solutions Inc

4. Trading Partners
Origination
Servicing
Loss Management
Un-Structured Data
Semi-Structured Data

6. Over time, they became buried in noise, increasing overhead...
Value Add Work
Overhead

7. 0.00
10000.00
20000.00
30000.00
40000.00
50000.00
60000.00
70000.00
80000.00
MB/$NIW
MB/$NIW
Data Volume Increased Dramatically, Compared to Value…

8. Blue Print : Established an architecutre
OA Proof of Concept
Infrustructure Operations
OA Solution Developement
References (in our domain )
Establish Plan B
Compliance & Legal
Customer
NPI Security Control
Financial
Capabilities
Execution
How?
Major Activities/Milestones
Dimensions of evaluationRisk
Why?
Does it make sense?Are we compliant?
Can we do it?

9. Cloud Strategy
Radian cloud readiness project proved to us Radian’s ability to adopt the cloud as a centerpiece to our modernization, despite significant change management demand ahead of us.
Modernization both short term and long term will benefit from the cloud strategy. And IT innovation will become a strong enabler of Radian’s business strategy.
Customer meetings and compliance research has shown, the customer concerns around the cloud will be mitigated by our security posture and encryption approach.
… while maintaining an inherited posture of continuous technology and financial improvement.

11. Encrypt/Tokenize Non Public Information (NPI)
Unstructured Data Semi-Structured Data Structured Data
Amazon
DynamoDB
Amazon
RDS
Amazon
CloudSearch
Amazon
Redshift
Storage (S3) Amazon
Elastic
MapReduce
Elastic Scalable Compute

13. Analytics
Apps
NoSQL DB
Tables
BI
Apps
Policy
Apps
Data warehouse
Talend
Mapper
Transformation Engine
Structured Data
Un- Structured
Data
Document Table
Policy
AdHoc Analysis
Business Intelligence
Risk Analysis
Holistic
Search
Raw
Data Store
Transformation
Layer
Processed
Data Store
Loan Data
Apps
EMR

17. Access Control Assessment

18. Reduce Code Deploy- ment Time
Quicker Access to Features and Fixes
Better Metrics on Code Quality
Improved Visibility for Upper Manage- ment
Facilitates Decisions & Faster Conver- gence

19. Server Automation
Application Automation
Environment Automation
End-To-End
(Stack) Automation

20. AWS first design
•Preferservice over product and increase focus on your business
•Do not re:Invent the wheel; leverage existing solutions in the AWS ecosystem
More data is better data
•Knoweverything about your data (context, lineage, etc.)
•Data aboutis data is as important as data (data ^ data)
Re-use process vs Re-use data
•Leverage on-demand computecapacity to obtain facets of data for transaction and analytical consumption

21. Focus on Information Security as Opposed to Perimeter Security
•NPI Vault
•Encrypt everything
•AWS provided services
Centralize information to achieve simple enterprisearchitecture
•Createa data lake and store everything in a flexible data format to facilitate easy consumption
Automation is a style vs. end state
•Automatethe last and most frequent change step in your process (Kanban process)
Rapid Prototyping
•Be opento change update your architecture/design
•Learnand make better decisions every day

22. http://bit.ly/awsevals