Once a category is defined, you need to determine which columns in your database belong to it.
Xcase™ enables the identification of sensitive data with multiple instances using metadata, semantics, relationships, and physical data, allowing for consistent anonymization.
Usable: Readable, pronounceable.
Coherent: Same data anonymized consistently.
Contextual: Attributes match context (e.g., gendered surnames).
Culturally Relevant: Data (names, addresses...) fits local geography and culture.
Persistent: Same anonymization when reloading data for consistent Test/Dev environment..
Conforms: Passes database/app validations.
Secure: Irreversible, prevents original value recovery.
An identifier that appears across many tables receives one new value, applied identically everywhere - 10474 becomes 88213 in every table at once. Joins keep joining, counts stay identical, and no trace of the original key survives.
Define the various categories of data that must be anonymized, such as customers’ names, addresses, IDs, IBANs, credit card numbers, and more.
Select from a variety of anonymization techniques tailored to specific needs, ensuring the anonymized data fulfills your application's constraints and validation requirements.
Before a single row changes, preview original and anonymized values side by side and confirm each method does exactly what you expect. Then run the generated SQL - here, or in your own pipeline.
Consistent Database Anonymization: Securely stored anonymization dictionaries guarantee uniformity across all anonymized data.
Unified Dictionaries: Ensures consistent dictionaries across multiple heterogeneous databases.
Automated Anonymization: Anonymize generates reusable SQL scripts for consistent and repeatable anonymization of non-production databases.
Export the anonymization groups and elements as a CSV file.
Create Entity Relationship Diagrams showing all the anonymized columns.
Installed on a Personal Desktop, for one user
i.e $1699/year- billed annually
i.e $1999/year- billed annually
• Xcase is installed installed on a central Windows PC
• Multiple concurrent users can access it from their own computers
• Each user can be assigned specific modules
• Each user has his own Personal Models Folder, which can be shared with others