1. AN SSIS DATA MASKING SOLUTION

2. AVERAGE ORGANIZATIONS RISKS OF EXPOSED PII
Personally Identifiable Information sensitive and critical organizational resource
Credit Card Numbers
Social Security Numbers
Names
DOBs
PII
PII Data in non-production environments is exposed to domestic and international development personnel
Of the 80 of internal fraud cases, 34 % involved Personally Identifiable Information

3. HIGH PROFILE PRIVACY BREACHES
MONEY GRAM
$100,000,000 fine
Involved in fraud due to PII exposure in 2009, 2012
Now uses IBM data masking software Optim per GLBA
The software installation itself costs millions of $$$
HEARTLAND PAYMENT SYSTEMS
130M credit card numbers
Albert Gonzalez used SQL injection in internal storage
Now it implements end-to-end encryption

4. PRIVACY COMPLIANCE FINANCIAL HEALTH / PHARMA ECOMMERCE SOLUTION
The Gramm-Leach-Bliley Act (GLBA) , US Congress 1999.
HEALTH / PHARMA
Health Insurance Portability and Accountability Act(HIPAA/HITECH), US Congress 1996.
ECOMMERCE
Payment Card Industry Data Security Standard (PCI DSS), Payment Card Industry Security Standards Council.
SOLUTION
Masking data in non-production environments.
Identity based masking in production environments.

5. DATA MASKING DEFINITION
The process of masking specific data elements within data store while preserving data look and feel and usability in applications.
ALGORITHMIC CHALLENGE
DATA INTEGRITY CHALLENGE

6. WHY HUSH HUSH? SIMPLE DRAG N DROP ALGORITHMS LOWERING OVERALL COST
Easy to use
Little training required
“Time to Market”
DRAG N DROP ALGORITHMS
Yet highly customizable.
LOWERING OVERALL COST
INTRODUCING JUST IN TIME PRIVACY PROTECTION

7. ESSENCE OF IMPLEMENTATIONS
VARIETY OF ALGORITHMS
Format Preserving Encryption (FPE) variation:
performance and less development time vs acceptable degrees of security risks (AES–like, Advanced Encrypion Standard)
Random substitution:
inability to decrypt due to randomness, yet much longer development, need to maintain additional structures
HIGHLY CUSTOMIZABLE
We can customize components per request and roll into the next version, providing support
Changing City, State and Zip in conjunction for reporting
Specific Credit Cards based on the Vendor
Keeping a domain in preserved
Gender Based First Names

8. AT EXTRA FEE: CONTACT US : Customization SSIS framework development
Integration into SDLC
CONTACT US :
Phone: