Data Lifecycle Management & Security (DLMS)

For most companies the risk of sensitive data exposure is a serious concern. Our Data Lifecycle Management and Security practice addresses the management and protection of the many copies of production data commonly used for other purposes as a valuable enterprise resource. Plato’s sister company,
Camouflage Software Inc., has developed one of the world’s leading data discovery, classification and masking software products.
Plato offers data discovery, classification and masking as a service through our deep consulting expertise in the area. Purchasing data masking as a service is an alternative to licensing the software, and enables you to protect your data with world-class data masking functionality and best practices.
Demand for test data security - specifically sensitive data identification and anonymization - has increased dramatically as more organizations recognize the huge risks they are taking when using sensitive data in application development and testing environments.
While significant effort goes into ensuring that production environments are highly secure, development and testing environments are typically much less secure. Without data masking, sensitive data is held in a less secure environment and is unnecessarily exposed to in-house testing staff, consultants, partners and outside development personnel. However, it is generally accepted that realistic data based upon production data is the richest source of data available to developers.
Data Lifecycle Management & Security (DLMS) is a suite of interrelated services designed to address the rising organizational demand for compliance solutions while maximizing the quality of development data. Armed with extensive expertise in test data security, Plato’s consultants reduce the risk of theft and exposure of sensitive information in a cost effective and timely manner where it is otherwise cost prohibitive or too complicated to undertake.
Discover, Subset and Mask your Test Data
Plato’s data masking service has three components:
Data Discovery and Classification: We help you 'discover' what data in your production or testing databases is sensitive. This doesn’t change the data - it simply identifies and classifies it.
Data Subsetting: Data Subsetting makes subsets of large databases. This can be done as a standalone service or in conjunction with Discovery, Classification and Data Masking.
Data Masking: This is where we change, anonymize and protect the data but preserve the characteristics of the real data.
Data Discovery and Classification
- HIPPA, PCI, and other legislative compliance
- Identification of Personally Identifiable Information
- Requirements analysis
- Data sensitivity analysis
- Data classification (categories and types)
- Data use documentation
- Anonymization process recommendation
- Creation of anonymization rules for protecting data
Data Masking
- Creation of anonymized databases for testing and development
- Development of databases for secondary uses such as research
- Creation of intelligent subset databases
Database Analysis and Administration
- Information management
- Integration into corporate processes and best practices



