SELECT - EXTRACT - ANONYMIZE - LOAD
Protect confidential data against deliberate or involuntary leaks towards non-authorized environments.
Identify the sensitive data
E.g. data that could lead to the identification of a person or company.
Define your custom
And associate these rules
to specific data.
Replace the sensitive data
Change the real values of sensitive data with dummy data.
Guarantee data coherence
Both for masked and unmasked data.
Select only the data you need
Choose the real data needed within the production databases.
S.E.A.L. enables you to create advanced copies of your database and anonymize the data contained within. Growing data needs for diverse organization purposes (tests, training, outsourcing...) are turning data privacy and protection into a priority for database managers.
S.E.A.L. is a flexible and powerful solution designed to reduce the deadlines and costs associated with the creation of data test sets while allowing you to keep the data privacy under control.
Protect your data against intentional or unintentional release to an untrusted environment.
S.E.A.L. also enables you to answer the more and more binding requirements concerning data privacy rules for sensitive and critical data.
EXTRACT DATA FROM THE PRODUCTION DATABASES ACCORDING TO YOUR SELECTION CRITERIA
S.E.A.L. lets you select and extract your own tailor-made data subsets :
- use the configurator to define your target environment (DB...)
- use the selector to select the data that must be copied
- use the extractor to copy (load) the selected data in the target environment
The extraction is completely automated, using exclusive Rever technology to guarantee the coherence of the extracted data.
MASK CONFIDENTIAL DATA
S.E.A.L.'s anonymizer supports the following anonymization rules :
- masking : replacing one or more characters in a data by other characters
- list : replacing a data by another one issued from an existing list
- calculation : replacing a data by another one, result of a calculation
S.E.A.L. also enables you to practice functional tests on your programs and applications. S.E.A.L.'s comparator, which will highlight all the differences between two data subsets, can be used both for acceptation testing and non-regression testing.