How to easily migrate from Imperva's Data Security Fabric (DSF) to DATPROF
Imperva’s Data Security Fabric (DSF) – formerly Camouflage – is being sunset. Are you looking for an alternative to secure, mask, anonymize, de-identify your data? We’re here to help. DATPROF Privacy is our all-in-one tool for data anonimization and generation.
DATPROF Privacy features
Data Discovery
Data analysis or data discovery helps you to get answers to find out if and where you have sensitive data stored. Profile your databases to discover where and which privacy sensitive information is stored.
→
Data Masking
Data masking or anonymization revolves around altering the data in a way that the data remains useful for testing and development, but the identification of a person becomes almost impossible.
→
Synthetic Data Generation
Synthetic test data is fake data that can be used for the development and testing of applications. It is not based on real data or existing information: it is artificially created with the help of algorithms.
→
Try it
in your own environment
Mask & Generate
Enable test teams with high quality masked production data and synthetically generated data for compliance.
What does a Data Masking tool migration process look like?
Step 1: Analysis of the current situation
– What does your Imperva Data Masking Project look like?
– Which masking targets have you configured?
– Which Project Preferences and parameters are in use?
– Is your Data Masking plan still up-to-date?
This is the perfect moment to adjust requirements and wishes
Step 2: Migrate to new solution
– Use function mapping to copy your Imperva Data Masking Project to a DATPROF Privacy Project
– Adjust the masking project to your (updated) needs
– Enrich your Data Masking Project with synthetic test data
Step 3: Enjoy your compliant test data
– Execute the masking plan
– Adjust where necessary
– Comply with privacy regulations like GDPR, PCI and HIPAA
Test Data Management Reinvented
"It is a very intelligent solution when it comes to identifying the dependencies and connections and it is easily scalable."
Manoranjan Mishra
Product Owner at Heineken
"Before DATPROF, we did not have the ability to scramble or mask in our non-SAP applications... Today we are confident that our customer's sensitive data is not in anybody else's hands."
Prakash Palani
Platform Architect at BCS
"Within the bank, we have a strategy called API First, and it was good to see that they have the possibilities to use APIs to mask data in bulk and generate data in bulk or in a few fieds."
Romil Kapadia
Product Owner at ABN AMRO Bank N.V.
Supporting the leading database technologies
