OUR PRODUCT
Masking solution to protect sensitive data
DATA MASKING and SUBSETTING solution that serves the dual purpose of masking sensitive production data and extracting subsets of information according to needs, reducing costs and ensuring its integrity.
common approach
This is your most likely scenario: multiple replicas of production data are made available to third-parties without real control or audit.
DATAPEERS approach
Creates consistent data subsets based on original information and uses advanced masking algorithms to replace sensitive data with fictitious information.
DATAPEERS uses a three-phase process:
METAMODEL
Datamodel; Business rules and relations; Masking rules; Subsetting definition.
Extraction
Data reduction; Masked data; Consistent subset.
upload
Data model creation; Population of data; Multi-database support.
benefits
DATA MASKING
Masks and protects confidential information, increasing compliance with internal and external regulations, particularly GDPR legal requirements.
SUBSETTING
Allows you to choose the information to be included in the database, according to business rules, creating new sources of information, smaller in size, but fully functional.
DATA INTEGRITY
It guarantees data integrity and consistency while also maintaining masking consistency between different applications.
GREATER EFFICIENCY AND AGILITY
Minimizes time, improves the quality of the environment and produces data according to the requirements of each team. DATAPEERS works in an on-premises or cloud environment and its licensing model is flexible to meet all your needs.
SECURITY
Usage and sharing only uses masked or fictitious data, thus ensuring data security in the event of theft or cyber attack.
COMPLIANCE
Using advanced anonymization and pseudonymization techniques, it ensures compliance with standards and regulations such as GDPR and PCI-DSS.
benefits
DATA MASKING
Masks and protects confidential information, increasing compliance with internal and external regulations, particularly GDPR legal requirements.
SUBSETTING
Allows you to choose the information to be included in the database, according to business rules, creating new sources of information, smaller in size, yet fully functional.
DATA INTEGRITY
It guarantees data integrity and consistency while also maintaining masking consistency between different applications.
GREATER EFFICIENCY AND AGILITY
Minimizes time, improves the quality of the environment and produces data according to the requirements of each team. DATAPEERS works in an on-premises or cloud environment and its licensing model is flexible to meet all your needs.
SECURITY
Usage and sharing only uses masked or fictitious data, thus ensuring data security in the event of theft or cyber attack.
COMPLIANCE
Using advanced anonymization and pseudonymization techniques, it ensures compliance with standards and regulations such as GDPR and PCI-DSS.
FAQS
Frequently Asked Questions
DATAPEERS is an advanced data subsetting and masking tool that enables companies to create small sized non-production environments, which only contain anonymized data. It is fundamentally aimed for the automated creation of environments to support software development lifecycles and ensure protection of classified or protected by law information.
The main advantages of DATAPEERS are: (1) The ability to protect confidential information and to ensure that data privacy is not violated, allowing you to fully comply with regulations such as PCI-DSS and GDPR; (2) Easily create consistent non-production environments with partial data sets, saving precious disk space and increasing your flexibility.
Hardware requirements very much depend on the size and complexity of your source databases. An analysis must be carried out by our team or by one of our partners.
As an approximation, the recommendations presented below can be considered.
DATAPEERS Server:
Hardware: 4 core, 8GB RAM, disk space at least 20% of the source database
Software: Microsoft Windows, Linux
DATAPEERS Management Console:
Software: Any operating system — Microsoft Windows, MAC OS, Linux. Browser – Chrome, Edge, Safari, Firefox
Yes, you can mask any columns from any tables by using one of many built-in functions or using a dictionary.
Referential integrity is always preserved, regardless of the columns that you choose to mask.
Yes, both features can be used together.
DATAPEERS absolutely guarantees that your company data is treated in a totally confidential way.
Yes. You can upload an extraction into as many destination databases as you would like, as long as it is the same RDMBS as the original.
It very much depends on the complexity of the source database and the level of knowledge of its data structures that exists within your organization. Typically a project takes between 2 weeks and 1 month.
Case Study: DATAPEERS x VICTORIA Seguros
In the context of internal compliance with the GDPR, VICTORIA SEGUROS presented us with a challenge: the implementation of the DATAPEERS solution for the anonymization of personal data in a coherent and transversal way to various business applications that support the insurer’s activities.