Articles de presse
Protecting your Data in a Non-Production Environment with DOT Anonymizer
Learn how to protect your data in a non-production environment with DOT Anonymizer.
What are the risks of working with non-anonymized data?
Find out in this article the different risks for companies of working with non-anonymized data.
Data Anonymization Keys to a Successful Cross-functional Project
Discover in this guide on data anonymization the keys to a Successful Cross-functional Project.
Urssaf Caisse Nationale
Urssaf Caisse Nationale wants to protect the data entrusted to it by launching an anonymization project
ACIAL QCENTRIS signs a partnership with ARCAD SOFTWARE to secure test data
The group ACIAL QCENTRIS, European leader of Software Testing and Quality, announces today its partnership with the company ARCAD SOFTWARE, to maintain the confidentiality of test data through anonymization.
Preventing Data Breaches Through Anonymization
How to prevent data breaches in 2025: key stats, proven controls, and when anonymization beats pseudonymization for test & analytics.
Protecting your PII data in Testing
Nearly every company has a test or development environment that is often less secure than production, and many of those have a failed audit to show for it.
Protection of personal data: How and when should you anonymize?
Learn how to comply with data protection legislation with DOT Anonymizer.
An introduction to Data Masking – Infographic
Data grows continuously, and data breaches concern all enterprises. So Regulations are emerging by focusing on data protection & privacy. Check out our infographic to discover how Data Masking can solve these challenges.
Data Masking and Anonymization
Explore data masking concepts and use cases. Download this Data Masking White Paper to learn about technologies for anonymizing personal data.
Arcad Software receives the “France Cybersecurity” label for its DOT Anonymizer solution
The "France Cybersecurity" label highlights the excellence of French offers in ...
5 tips for a successful anonymization project
Learn about the challenges of anonymization and our clients' solutions to make it happen.
Protection of Personal Data
Learn about the fundamentals of the General Data Protection Regulation (GDPR), and recommendations as to how to be compliant.
Anonymizing your data: why is it important for all organizations?
When an organization processes data, it is essential for it to anonymize it in order to comply with the rules imposed by the GDPR.
How to use a dataset in compliance with the GDPR?
Data Anonymization allows companies to exploit datasets securely while protecting the privacy of their users.
VSB/SMB: how to protect my company’s data?
There are several methods of anonymization for which VSB and SMB are concerned and can set up protection within their organization.
Data Masking and Anonymization: 6 Types of Algorithms to Protect Your Data
Different data masking techniques to better understand how each algorithm works.
Data protection: one in two leaks is linked to an internal problem in the company
Anonymize data and create a secure ecosystem at the heart of your business to minimize problems and data leakage.
ARCAD Software awarded at the Cas d’OR Service Public Numérique!
ARCAD Software wins two awards at the Cas d’Or Service Public Numérique for its DOT Anonymizer solution.
What is Data Masking?
Data masking guarantees the confidentiality, availability and integrity of data for users and companies
The impact of the GDPR on the cybersecurity of a company
The GDPR imposes stricter standards on companies in terms of data security and therefore cybersecurity.
GDPR: a cybersecurity challenge and true cyberprotection
By securing the personal data of site users, the GDPR is proving to be an effective bulwark in terms of cybersecurity.
GDPR and Anonymization, how far should we go?
GDPR and Anonymization: what is the definition of anonymization in the GDPR, is it applicable in reality? And how?
Anonymization: best practices to put in place
In order to comply with the GDPR, it is essential to initiate a process of anonymization of individual data
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