
Secure/Test Data Layer
Data Management Framework

Challenges

What is Secure/Test Data Layer?
It is a Data Security Framework for;
- Pre-built Connectors such as Relation Databases, Applications and Big Data etc.
- Sensitive Data Discovery and Classification
- Relational Data Subset
- Persistent Data Masking
- Performance and Scability
- Monitoring and Management (Schedule etc.)
High Level Architecture

What it is Key Benefits?

Secure / Test Data Layer Approach

Access Capabilities
Ability to access source systems such as;
- Relational databases (Oracle, SQL Server, DB2, PostgreSQL etc)
- Mainframes (DB2 FOR Z/OS)
- Big Data Platforms (Cloudera, Hortonworks, MapR, HDInsights)
- Flat Files

Discovery Capabilities

- Discover your data according to data and metadata
- Pre-defined and expandable data discovery rules for name, surname, identity number, credit card, phone number etc
- Classify discovery results in a pre-defined policies such as
- PCI (Payment Card Industry)
- PHI (Protected Health Information)
- PII (Personally Identifiable Information)
or Create your own policies
Analyze Capabilities
- Column Profile to collect statistics about your data with Completeness, Frequency, Pattern, Uniqueness
- Primary Key/Foreign Key profile to identify constraints which do not exist as physical
- Relationship analysis for data sources
- Ad-Hoc analyzes to meet business requirements

Design & Apply Capabilities

- Decide how to Subset data and which columns will be masked
- Develop Subset & Masking rules according to analyze and discovery results
- Predefined masking techniques Random, Substitution, Shuffle, Key, Credit card, phone number, IP Address, Custom Advanced rules etc
- Prepared masking rules for sensitive data such as name, surname, phone number, address, identity number, credit card etc
- Automation for whole process
Manage Capabilities
- Create & Schedule your data masking jobs
- Monitoring Results and Mail Notifications
- User privileges
- Detailed error logs
- Easy integration for new sources and databases
