With the increased complexity in the business
it became very necessary for financial organizations to keep the data protected
& have an eye on their data privacy in the their business intelligence
environments. There’re many tools & techniques came to protect an
unauthorized access to sensitive & regulated data.
But still there is a miss utilization of data. Organizations cannot just
relay on the accounts & authorization methods to protect unauthorized
access to data even if the data in the business intelligence systems are only
be used by top management for their critical business decisions.
It is always a known factor that without real
time & huge data, development / test teams cannot test the IT code
& applications which are in development or test phase. Sometimes it becomes
very necessary to copy the production data sets to development & test
environments in order to have the test code to use the real time data &
properly tested before it deployed to production.
In this case whenever
the production data set comes to development & test environments
unknowingly there is a complete access to use sensitive data which would
sometimes lead to data breach. In order to establish a strong protection
mechanism some of the financial organizations started using the Data Masking
mechanism where the data in production would be in the encrypted format only
the authorized trusted business intelligence applications can read/write using
the encryption/decryption algorithms in turn only business users who are having
access to respective BI report can view the data.
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