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Data masking transforms production data in quality test data

Minimize the security risks in your organization

BizDataX data anonymization protects sensitve data

Use data masking/data anonymization to easily create a masked copy of your database for different stakeholders such as testers, developers and corporate management. And comply with regulatory requirements at the same time.

BizDataX data anonymization protects personal data

BizDataX masking toolbox is equipped with various tools you need to mask all your sensitive data. For standard types (strings, numbers, dates) there are many out-of-the-box generators dealing with random generation, intervals, conditions and distributions. For all special cases specific to your database, there is a simple extension mechanism, so you can plug in your logic.

First and last name
Date and place of birth
Home address
Email address
National ID number
Credit card number
Telephone number
Company
Driver's licence number
Original value
First and last name
Norma J Logan
Date and place of birth
10/17/1991; Chicago
Home address
2144 Steve Hunt Road, Miami Springs, FL
Email address
norma.logan@gmail.com
National ID number
771-24-3528
Credit card number
5504727664894258
Telephone number
305-750-7116
Company
LaBelle
Driver's licence number
R362-513-81-567-0
Masked value
First and last name
Marie E Dionne
Date and place of birth
2/28/1972; Boston
Home address
3764 Cooks Mine Road, Chama, NM
Email address
marie.dionne@gmail.com
National ID number
648-34-5766
Credit card number
5153677720347508
Telephone number
505-756-5220
Company
Chatham
Driver's licence number
R436-537-29-286-3
Description
First and last name
Mask first and last name using prepopulated lists of available values.
Date and place of birth
Dates can be masked with a given single value, for example with a randomly generated value from a given interval or as a function of a previous date.
Home address
Mask using prepopulated lists of cities, regions and streets, control for country. Geneate random numbers in interval for street numbers.
Email address
Mask using our Email generator. Furthermore you can control the format of the email and decide if it should be calculated based on a masked value for first and last name.
National ID number
Mask using one of our national ID number generators (AHV, OIB, SSN, IBAN…). If you have your own, plug it in easily.
Credit card number
Mask using our credit card generators. Control for credit card type (MasterCard, VISA, Maestro, AmericanExpress…)
Telephone number
Mask using our telephone number generator. Control the country, format, or plug in your own.
Company
Mask using our company name generators.
Driver's licence number
Mask using our driver's licence generators.
BizDataX processes data at high speed levels
High performance

Data masking/data anonymization performs transformation of data in your database in 3 steps:

1. Reading data from database to BizDataX application memory.
2. Process data in memory.
3. Writing data from application memory to database.

Actual performance may vary and is usually determined by writing performance. The best real-world measurement at client’s site is just a bit above 1 billion records per hour. This depends on many factors like database technology, database configuration, network configuration, physical distances between servers and so on. Parallel writing into one or more tables, bulk inserting, tweaking the triggers and indexes or reducing the scope of the data in the final result are some of the options available and supported by BizDataX. Even when databases contain billions of records, processing duration measures in hours.

Preserved referential integrity

It is quite common for data masking to interfere with database referential integrity. For example when you need to change national identification numbers or account numbers that are used as primary and foreign keys in many tables. Also when a person’s sensitive data is scattered across multiple tables. BizDataX is guarding referential integrity and masks scattered data consistently.

BizDataX preserves referential integrity of data in tables

Masked or anonymized data means leaving your sensitive data out of GDPR scope

Read More About GDPR Compliance