Mask your personal or identifying data (PII)
Anonymize your databases and files
OS
Integration
5 methods to detect data that needs to be anonymized
1
By field name/description
Analyzes column names
(name, email, phone…)
2
By directory/dictionary
Uses public or custom reference lists
(first names, addresses…)
3
By custom script
Groovy scripts tailored to your specific use cases
4
By content (regex)
Direct value analysis using regular expressions (email, IBAN, phone…)
5
By data type
Detection based on type
(birth dates, contract dates…)
Combine these 5 approaches for complete, tailored detection
They trust us
« The ADIS teams quickly understood the value and ease of use of DOT Anonymizer. Our testers were up and running on the solution very quickly, thanks to the guaranteed consistency and integrity of the anonymized data on all our DBMSs. The ARCAD Software team was particularly responsive to our needs. »
Gaëlle Jonckheere, IT Operations Manager / Infrastructure and Application base
« We had to develop very specific rules for our needs and the rule simulation aspect for DOT Anonymizer, especially for complex rules, which has been a real added value. »
Etienne Cotasson, Urssaf Caisse Nationale
Benefit from our expertise
With over 33 years of experience in application lifecycle management across all industries and technologies — from open systems to legacy platforms — ARCAD Software is ideally positioned to tackle the challenges of digital transformation.
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