I. Data masking and anonymization
Data masking is a technology which aims to prevent the manipulation of personal data by giving users fictitious data (but realistic) instead of real personal data.
The anonymization of personal data consists in modifying the content or structure of this data in order to make it impossible to “re-identify” users (physical or legal) or entities concerned.
Personal data exposed to staff
With the constitution of test data sets intended to populate different environments (such as test, Quality Assurance (QA), qualification, training, dedicated to young recruits, etc…), there is a growing risk of personal and confidential data originating from production becoming visible to unauthorized staff such as testers, QA staff and developers. These users are not authorized to visualize this personal production data (name of persons, addresses, mobile numbers, bank account numbers, social security details) and can introduce a potential data leak. Since the security level of development servers are not as high as production servers, a desensitization of personal and confidential data is needed.
70% of security incidents come from internal sources
To be effective, anonymization must preserve the usability of data:
- Maintain its readability (preservation of the data format)
- Maintain data format and type (an adress must remain an adress for example)
- Retains values from one transformation to another
- Ensures cross-platform consistency (the same anonymization rule used in different databases)
Take a look at our infographic and find out how Data Masking can anonymize production data while maintaining its usability. To go even further, check out our article about the 5 most common questions about data anonymization.
Analyze the concepts, mechanisms and solutions that data masking and anonymization can provide, as well as the latest implementation scenarios and algorithms in our Data Masking White Paper
II. GDPR and data protection
GDPR (General Data Protection Regulation) is in application since 25 May 2018. This regulation relates to the protection of physical persons against the misuse of personal data during processing and the free movement of such data.
Become an expert on our GDPR page (Definition, when does it apply?, Who is impacted? How do the fines work?, How can I protect my company from data leak?..).
Any data protection project (GDPR, CCPA, etc.) begins by identifying personal data to feed your registry. Discover how to detect them in this article.
III. Anonymize your data with DOT Anonymizer
To ensure confidentiality of your test data by concealing personal information, use DOT Anonymizer! This tool anonymizes personal data while preserving their original format and type. Manage your anonymization projects on all types of platefrms, by exploiting non-reversible algorithms.
Adis, an insurance brokerage, has industrialized its data anonymization process with DOT Anonymizer. Check out their case study!
Find out about DOT Anonymizer by watching our Webinar.
Need to protect your personal and confidential data?
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Anonymize your databases and files (csv, xml..)
Non-reversible anonymization algorithms
Intuitive studio on rich client or web client
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Use the same anonymization rules in between your different platforms and DBMS
Invoke DOT Anonymizer’s functions from your own tools
Respects the GDPR’s “Right to be Forgotten”